[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-tech-lead-data-engineeringd3006-allianz-insurance-de-in":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":12,"featured_until":7,"is_active":13,"deactivated_at":7,"is_enriched":13,"processed_job_posting_json":14,"processed_latitude":89,"processed_longitude":90,"processed_employment_types":91,"processed_working_hours":92,"processed_working_hours_labels":94,"processed_home_office":95,"processed_salary_min":86,"processed_salary_max":87,"processed_salary_currency":83,"processed_salary_source":96,"processed_benefits":97,"processed_benefits_labels":102,"processed_industry":103,"processed_skills":7,"processed_job_location":104,"processed_full_address_gmaps":107,"processed_street_gmaps":108,"processed_city_gmaps":109,"processed_postal_code_gmaps":110,"processed_country_gmaps":111,"processed_country_iso_code_gmaps":113,"full_description":17,"formatted_description":114,"processed_employment_types_labels":41,"processed_home_office_labels":39,"processed_industry_labels":43,"processed_it_skills":115,"processed_it_skills_labels":118,"processed_soft_skills":119,"processed_soft_skills_labels":120,"processed_job_expertise_skills":121,"processed_job_expertise_skills_labels":122,"processed_language_requirements":123,"processed_total_experience_years":130,"processed_professional_field":131,"processed_professional_field_labels":134,"processed_leadership_role":13,"processed_date_posted":20,"raw_job_url":135,"apply_url":7,"raw_hiringOrganization_logo_url":7,"translations":7,"canonical_industry_key":136,"canonical_industry_label":137,"max_cpc":138,"actual_cpc":7},81749,"ai-tech-lead-data-engineeringd3006-allianz-insurance","AI Tech Lead (Data Engineering)_D3006",null,{"name":9,"slug":10,"logo_url":11},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",false,true,{"@context":15,"@type":16,"title":6,"description":17,"hiringOrganization":18,"datePosted":20,"validThrough":21,"jobLocation":22,"jobLocationType":39,"employmentType":40,"industry":42,"skills":44,"baseSalary":81},"https:\u002F\u002Fschema.org\u002F","JobPosting","\u003Cdiv style=\"border: none; border-bottom: solid #E8F0F9 1.0pt; padding: 0in 0in 4.0pt 0in;\">\u003Cp style=\"padding: 0in; margin: 0.25in 0in 5pt; font-size: 13pt; font-family: Arial, sans-serif; color: #1a3a5c; font-weight: bold; border: medium none currentcolor;\">Purpose of the Role\u003C\u002Fp>\u003C\u002Fdiv>\u003Cp style=\"margin: 0in 0in 6pt; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">The AI Lead is a senior technical leadership role responsible for driving the end-to-end delivery of AI and Agentic AI solutions. You will own the technical direction of AI projects, lead a team of AI Engineers, and serve as the bridge between business stakeholders, solution architects, and engineering teams. You are accountable for solution quality, delivery cadence, and production readiness of AI workloads.\u003C\u002Fp>\u003Cdiv style=\"border: none; border-bottom: solid #E8F0F9 1.0pt; padding: 0in 0in 4.0pt 0in;\">\u003Cp style=\"padding: 0in; margin: 0.25in 0in 5pt; font-size: 13pt; font-family: Arial, sans-serif; color: #1a3a5c; font-weight: bold; border: medium none currentcolor;\">Key Accountabilities\u003C\u002Fp>\u003C\u002Fdiv>\u003Cp style=\"margin: 11pt 0in 4pt; font-size: 11pt; font-family: Arial, sans-serif; color: #2563a8; font-weight: bold;\">Technical Leadership & Architecture\u003C\u002Fp>\u003Cul style=\"margin-top: 0in; margin-bottom: 4.0pt;\">\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Own the technical delivery of AI solutions from ideation through to production deployment\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Define and enforce solution architecture patterns including single-agent, multi-agent, and orchestration topologies\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Make technology selection decisions with cost, performance, and maintainability trade-offs\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Design and approve prompt architectures, retrieval strategies, and context assembly patterns\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Establish reference architectures and reusable design patterns for the AI engineering team\u003C\u002Fli>\u003C\u002Ful>\u003Cp style=\"margin: 11pt 0in 4pt; font-size: 11pt; font-family: Arial, sans-serif; color: #2563a8; font-weight: bold;\">Delivery Management\u003C\u002Fp>\u003Cul style=\"margin-top: 0in; margin-bottom: 4.0pt;\">\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Lead AI projects through a stage-gated delivery model: Ideation → Framing → Design → Build → Test → UAT → Production\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Own design approval gates and ensure every deliverable meets agreed quality bars before stage exit\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Manage non-functional requirements (latency, cost-per-task, throughput) and ensure they are met at each gate\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Drive parallel workstreams (e.g., systems data readiness alongside agent build) to prevent schedule slip\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Coordinate cross-team dependencies with platform, MLOps, data, and business teams\u003C\u002Fli>\u003C\u002Ful>\u003Cp style=\"margin: 11pt 0in 4pt; font-size: 11pt; font-family: Arial, sans-serif; color: #2563a8; font-weight: bold;\">Team Leadership\u003C\u002Fp>\u003Cul style=\"margin-top: 0in; margin-bottom: 4.0pt;\">\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Lead, mentor, and grow a team of AI Engineers across agent development, prompt engineering, and LLM integration\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Conduct code reviews and AI engineering quality checks\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Establish and enforce development standards, coding guidelines, and engineering best practices\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Foster a culture of experimentation, continuous learning, and knowledge sharing\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Manage team capacity, sprint planning, and delivery commitments\u003C\u002Fli>\u003C\u002Ful>\u003Cp style=\"margin: 11pt 0in 4pt; font-size: 11pt; font-family: Arial, sans-serif; color: #2563a8; font-weight: bold;\">Agentic AI & LLM Expertise\u003C\u002Fp>\u003Cul style=\"margin-top: 0in; margin-bottom: 4.0pt;\">\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Design and oversee agentic orchestration solutions (multi-agent systems, state management, human-in-the-loop patterns)\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Lead prompt engineering strategy including system prompt design, few-shot patterns, chain-of-thought reasoning, and prompt versioning\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Architect Retrieval-Augmented Generation (RAG) pipelines including chunking strategies, embedding models, and retrieval quality evaluation\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Drive evaluation harness design: golden-set creation, grading rubrics, pass-bar thresholds, and CI-integrated eval suites\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Ensure non-determinism is managed through stable eval scores across consecutive runs\u003C\u002Fli>\u003C\u002Ful>\u003Cp style=\"margin: 11pt 0in 4pt; font-size: 11pt; font-family: Arial, sans-serif; color: #2563a8; font-weight: bold;\">Security & Governance\u003C\u002Fp>\u003Cul style=\"margin-top: 0in; margin-bottom: 4.0pt;\">\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Ensure all AI solutions follow zero-trust security principles: managed identities, no secrets in code, defence in depth\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Integrate content safety checks on all LLM inputs and outputs\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Design and enforce guardrails for agent actions including blast-radius assessment and fallback paths\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Own adversarial testing strategy: prompt injection, jailbreak, and tool-misuse test packs\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Contribute to governance frameworks including model cards, explainability documentation, and audit evidence\u003C\u002Fli>\u003C\u002Ful>\u003Cp style=\"margin: 11pt 0in 4pt; font-size: 11pt; font-family: Arial, sans-serif; color: #2563a8; font-weight: bold;\">Stakeholder Engagement\u003C\u002Fp>\u003Cul style=\"margin-top: 0in; margin-bottom: 4.0pt;\">\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Translate business requirements into feasible AI solution designs\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Present architecture decisions, PoC findings, and delivery progress to senior stakeholders\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Collaborate with business SMEs on use-case framing, autonomy-level decisions, and acceptance criteria\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Participate in joint go\u002Fno-go gates for production deployment\u003C\u002Fli>\u003C\u002Ful>\u003Cp style=\"margin: 11pt 0in 4pt; font-size: 11pt; font-family: Arial, sans-serif; color: #2563a8; font-weight: bold;\">Observability & Operations\u003C\u002Fp>\u003Cul style=\"margin-top: 0in; margin-bottom: 4.0pt;\">\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Define observability and trace design requirements for AI workloads (logging, telemetry, cost tracking)\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Establish alert thresholds, on-call procedures, and hypercare plans for production AI systems\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Drive token usage monitoring, cost optimisation, and model-tier selection strategies\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Own post-deployment monitoring, prompt optimisation, and continuous improvement cycles\u003C\u002Fli>\u003C\u002Ful>\u003Cp style=\"padding: 0in; border-width: medium medium 1pt; border-style: none none solid; border-color: currentcolor currentcolor rgb(232, 240, 249); margin: 0.25in 0in 5pt; font-size: 13pt; font-family: Arial, sans-serif; color: #1a3a5c; font-weight: bold;\">Required Skills & Experience\u003C\u002Fp>\u003Cp style=\"margin: 11pt 0in 4pt; font-size: 11pt; font-family: Arial, sans-serif; color: #2563a8; font-weight: bold;\">Essential\u003C\u002Fp>\u003Cul style=\"margin-top: 0in; margin-bottom: 4.0pt;\">\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">8+ years in software engineering with at least 3 years focused on AI\u002FML solutions\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">2+ years of hands-on experience with Large Language Models (GPT-4 class or equivalent) in production environments\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Proven experience designing and delivering agentic AI systems (multi-agent orchestration, tool-calling, state management)\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Strong proficiency in Python and modern AI frameworks (LangChain, LangGraph, Semantic Kernel, or equivalent)\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Deep understanding of prompt engineering: system prompts, context assembly, retrieval strategies, and evaluation methods\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Experience with RAG architectures: vector databases, embedding models, chunking strategies, retrieval quality metrics\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Hands-on experience with cloud AI platforms (Azure AI, AWS Bedrock, GCP Vertex AI, or equivalent)\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Experience leading engineering teams (2–6 direct reports) with a track record of delivering production AI systems\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Strong understanding of CI\u002FCD for AI workloads including eval-suite integration and automated testing\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Knowledge of identity and security patterns: managed identities, RBAC, content safety, zero-trust principles\u003C\u002Fli>\u003C\u002Ful>\u003Cp style=\"margin: 11pt 0in 4pt; font-size: 11pt; font-family: Arial, sans-serif; color: #2563a8; font-weight: bold;\">Desirable\u003C\u002Fp>\u003Cul style=\"margin-top: 0in; margin-bottom: 4.0pt;\">\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Experience with event-driven architectures (Kafka, Service Bus, or equivalent messaging systems)\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Familiarity with ML model serving and MLOps (MLflow, model registries, drift detection)\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Experience with OCR \u002F Document Intelligence solutions\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Knowledge of FinOps practices for AI workloads (token cost tracking, model-tier optimisation, budget governance)\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Experience with rules engines (Drools, or equivalent)\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Insurance, financial services, or other regulated-industry experience\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Familiarity with Infrastructure-as-Code (Terraform, Bicep, or equivalent)\u003C\u002Fli>\u003C\u002Ful>\u003Cp style=\"padding: 0in; border-width: medium medium 1pt; border-style: none none solid; border-color: currentcolor currentcolor rgb(232, 240, 249); margin: 0.25in 0in 5pt; font-size: 13pt; font-family: Arial, sans-serif; color: #1a3a5c; font-weight: bold;\">Key Competencies\u003C\u002Fp>\u003Cp style=\"margin: 0in 0in 5pt; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\"> \u003C\u002Fp>\u003Ctable class=\"MsoNormalTable\" style=\"border-collapse: collapse; border: none;\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\u003Ctbody>\u003Ctr>\u003Ctd style=\"width: 130.0pt; border: solid #D9E4F0 1.0pt; background-color: #e8f0f9; padding: 0in .5pt 0in .5pt;\" valign=\"top\">\u003Cp style=\"margin: 4pt 0in; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">\u003Cstrong>\u003Cspan style=\"color: #1a3a5c;\">Technical Depth\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd style=\"width: 310.0pt; border: solid #D9E4F0 1.0pt; border-left: none; background-color: #e8f0f9; padding: 0in .5pt 0in .5pt;\" valign=\"top\">\u003Cp style=\"margin: 4pt 0in; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Can go deep on LLM internals, agent orchestration, and system design while maintaining a broad architectural view\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd style=\"width: 130.0pt; border: solid #D9E4F0 1.0pt; border-top: none; background-color: white; padding: 0in .5pt 0in .5pt;\" valign=\"top\">\u003Cp style=\"margin: 4pt 0in; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">\u003Cstrong>\u003Cspan style=\"color: #1a3a5c;\">Delivery Focus\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd style=\"width: 310.0pt; border-top: none; border-left: none; border-bottom: solid #D9E4F0 1.0pt; border-right: solid #D9E4F0 1.0pt; background-color: white; padding: 0in .5pt 0in .5pt;\" valign=\"top\">\u003Cp style=\"margin: 4pt 0in; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Drives outcomes through structured delivery with clear gates, quality bars, and accountability\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd style=\"width: 130.0pt; border: solid #D9E4F0 1.0pt; border-top: none; background-color: #e8f0f9; padding: 0in .5pt 0in .5pt;\" valign=\"top\">\u003Cp style=\"margin: 4pt 0in; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">\u003Cstrong>\u003Cspan style=\"color: #1a3a5c;\">Communication\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd style=\"width: 310.0pt; border-top: none; border-left: none; border-bottom: solid #D9E4F0 1.0pt; border-right: solid #D9E4F0 1.0pt; background-color: #e8f0f9; padding: 0in .5pt 0in .5pt;\" valign=\"top\">\u003Cp style=\"margin: 4pt 0in; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Translates complex AI concepts for business audiences; writes clear design documents and architecture decision records\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd style=\"width: 130.0pt; border: solid #D9E4F0 1.0pt; border-top: none; background-color: white; padding: 0in .5pt 0in .5pt;\" valign=\"top\">\u003Cp style=\"margin: 4pt 0in; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">\u003Cstrong>\u003Cspan style=\"color: #1a3a5c;\">Pragmatism\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd style=\"width: 310.0pt; border-top: none; border-left: none; border-bottom: solid #D9E4F0 1.0pt; border-right: solid #D9E4F0 1.0pt; background-color: white; padding: 0in .5pt 0in .5pt;\" valign=\"top\">\u003Cp style=\"margin: 4pt 0in; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Balances innovation with production readiness; knows when to PoC and when to ship\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd style=\"width: 130.0pt; border: solid #D9E4F0 1.0pt; border-top: none; background-color: #e8f0f9; padding: 0in .5pt 0in .5pt;\" valign=\"top\">\u003Cp style=\"margin: 4pt 0in; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">\u003Cstrong>\u003Cspan style=\"color: #1a3a5c;\">Security Mindset\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd style=\"width: 310.0pt; border-top: none; border-left: none; border-bottom: solid #D9E4F0 1.0pt; border-right: solid #D9E4F0 1.0pt; background-color: #e8f0f9; padding: 0in .5pt 0in .5pt;\" valign=\"top\">\u003Cp style=\"margin: 4pt 0in; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Treats security as non-negotiable; designs with defence in depth from day one\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd style=\"width: 130.0pt; border: solid #D9E4F0 1.0pt; border-top: none; background-color: white; padding: 0in .5pt 0in .5pt;\" valign=\"top\">\u003Cp style=\"margin: 4pt 0in; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">\u003Cstrong>\u003Cspan style=\"color: #1a3a5c;\">People Leadership\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd style=\"width: 310.0pt; border-top: none; border-left: none; border-bottom: solid #D9E4F0 1.0pt; border-right: solid #D9E4F0 1.0pt; background-color: white; padding: 0in .5pt 0in .5pt;\" valign=\"top\">\u003Cp style=\"margin: 4pt 0in; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Grows engineers through mentoring, code review, and creating space for experimentation\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd style=\"width: 130.0pt; border: solid #D9E4F0 1.0pt; border-top: none; background-color: #e8f0f9; padding: 0in .5pt 0in .5pt;\" valign=\"top\">\u003Cp style=\"margin: 4pt 0in; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">\u003Cstrong>\u003Cspan style=\"color: #1a3a5c;\">Collaboration\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd style=\"width: 310.0pt; border-top: none; border-left: none; border-bottom: solid #D9E4F0 1.0pt; border-right: solid #D9E4F0 1.0pt; background-color: #e8f0f9; padding: 0in .5pt 0in .5pt;\" valign=\"top\">\u003Cp style=\"margin: 4pt 0in; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Works effectively across business, data, platform, and operations teams with a joint-accountability mindset\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Cdiv style=\"border: none; border-bottom: solid #E8F0F9 1.0pt; padding: 0in 0in 4.0pt 0in;\">\u003Cp style=\"padding: 0in; margin: 0.25in 0in 5pt; font-size: 13pt; font-family: Arial, sans-serif; color: #1a3a5c; font-weight: bold; border: medium none currentcolor;\">What Success Looks Like (First 12 Months)\u003C\u002Fp>\u003C\u002Fdiv>\u003Cul style=\"margin-top: 0in; margin-bottom: 4.0pt;\">\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Delivered 2–3 AI\u002Fagentic solutions to production with measurable business impact\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Established engineering standards, templates, and accelerators adopted by the wider team\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Built and maintained an evaluation framework with CI-integrated golden-set testing\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Achieved stable production operations with defined SLAs, observability, and incident response\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Grown the AI engineering team's capability through mentoring, knowledge sharing, and structured onboarding\u003C\u002Fli>\u003Cli style=\"margin: 0in 0in 4pt 0px; font-size: 11pt; font-family: Arial, sans-serif; color: #1a1a1a;\">Contributed to cross-cutting frameworks (security, observability, governance) used across the organisation\u003C\u002Fli>\u003C\u002Ful> \u003Cp>Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. \u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust. \u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. \u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Great to have you on board\u003Cstrong>.\u003C\u002Fstrong> \u003Cstrong>Let's care for tomorrow.\u003C\u002Fstrong>\u003C\u002Fp>",{"@type":19,"name":9},"Organization","2026-10-02","2027-10-02",[23,33],{"@type":24,"address":25,"geo":29},"Place",{"@type":26,"addressLocality":27,"addressCountry":28},"PostalAddress","PUNE","IN",{"@type":30,"latitude":31,"longitude":32},"GeoCoordinates",18.51957,73.85535,{"@type":24,"address":34,"geo":36},{"@type":26,"addressLocality":35,"addressCountry":28},"Sindewahi",{"@type":30,"latitude":37,"longitude":38},20.593684,78.96288,"HYBRID",[41],"PERMANENT",[43],"Insurance and Asset Management",[45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80],"Python","LangChain","LangGraph","Semantic Kernel","Azure AI","AWS Bedrock","GCP Vertex AI","CI\u002FCD","Kafka","Service Bus","MLflow","Terraform","Bicep","Technical Leadership","Communication","Collaboration","People Leadership","Pragmatism","Security Mindset","Delivery Focus","AI\u002FML Solutions","Large Language Models (LLMs)","Agentic AI Systems","Prompt Engineering","Retrieval-Augmented Generation (RAG)","Solution Architecture","Delivery Management","Team Leadership","Security & Governance","Stakeholder Engagement","Observability & Operations","FinOps","MLOps","OCR \u002F Document Intelligence","Rules Engines","Event-Driven Architectures",{"@type":82,"currency":83,"value":84},"MonetaryAmount","EUR",{"@type":85,"minValue":86,"maxValue":87,"unitText":88},"QuantitativeValue",120000,180000,"YEAR",[31,37],[32,38],"permanent",[93],"FULL_TIME",[93],"hybrid","estimated",[98,99,100,101],"Inclusive workplace","Equal opportunities","Employee empowerment","Growth opportunities",[98,99,100,101],"insurance and asset management",[105,106],"allianz, pune, india","allianz, sindewahi, india",[],[],[27,35],[],[112],"India",[28],"## Purpose of the Role\n\nThe AI Lead is a senior technical leadership role responsible for driving the end-to-end delivery of AI and Agentic AI solutions. You will own the technical direction of AI projects, lead a team of AI Engineers, and serve as the bridge between business stakeholders, solution architects, and engineering teams. You are accountable for solution quality, delivery cadence, and production readiness of AI workloads.\n\n## Key Accountabilities\n\n**Technical Leadership & Architecture**\n\n- Own the technical delivery of AI solutions from ideation through to production deployment\n- Define and enforce solution architecture patterns including single-agent, multi-agent, and orchestration topologies\n- Make technology selection decisions with cost, performance, and maintainability trade-offs\n- Design and approve prompt architectures, retrieval strategies, and context assembly patterns\n- Establish reference architectures and reusable design patterns for the AI engineering team\n\n**Delivery Management**\n\n- Lead AI projects through a stage-gated delivery model: Ideation → Framing → Design → Build → Test → UAT → Production\n- Own design approval gates and ensure every deliverable meets agreed quality bars before stage exit\n- Manage non-functional requirements (latency, cost-per-task, throughput) and ensure they are met at each gate\n- Drive parallel workstreams (e.g., systems data readiness alongside agent build) to prevent schedule slip\n- Coordinate cross-team dependencies with platform, MLOps, data, and business teams\n\n**Team Leadership**\n\n- Lead, mentor, and grow a team of AI Engineers across agent development, prompt engineering, and LLM integration\n- Conduct code reviews and AI engineering quality checks\n- Establish and enforce development standards, coding guidelines, and engineering best practices\n- Foster a culture of experimentation, continuous learning, and knowledge sharing\n- Manage team capacity, sprint planning, and delivery commitments\n\n**Agentic AI & LLM Expertise**\n\n- Design and oversee agentic orchestration solutions (multi-agent systems, state management, human-in-the-loop patterns)\n- Lead prompt engineering strategy including system prompt design, few-shot patterns, chain-of-thought reasoning, and prompt versioning\n- Architect Retrieval-Augmented Generation (RAG) pipelines including chunking strategies, embedding models, and retrieval quality evaluation\n- Drive evaluation harness design: golden-set creation, grading rubrics, pass-bar thresholds, and CI-integrated eval suites\n- Ensure non-determinism is managed through stable eval scores across consecutive runs\n\n**Security & Governance**\n\n- Ensure all AI solutions follow zero-trust security principles: managed identities, no secrets in code, defence in depth\n- Integrate content safety checks on all LLM inputs and outputs\n- Design and enforce guardrails for agent actions including blast-radius assessment and fallback paths\n- Own adversarial testing strategy: prompt injection, jailbreak, and tool-misuse test packs\n- Contribute to governance frameworks including model cards, explainability documentation, and audit evidence\n\n**Stakeholder Engagement**\n\n- Translate business requirements into feasible AI solution designs\n- Present architecture decisions, PoC findings, and delivery progress to senior stakeholders\n- Collaborate with business SMEs on use-case framing, autonomy-level decisions, and acceptance criteria\n- Participate in joint go\u002Fno-go gates for production deployment\n\n**Observability & Operations**\n\n- Define observability and trace design requirements for AI workloads (logging, telemetry, cost tracking)\n- Establish alert thresholds, on-call procedures, and hypercare plans for production AI systems\n- Drive token usage monitoring, cost optimisation, and model-tier selection strategies\n- Own post-deployment monitoring, prompt optimisation, and continuous improvement cycles\n\n## Required Skills & Experience\n\n**Essential**\n\n- 8+ years in software engineering with at least 3 years focused on AI\u002FML solutions\n- 2+ years of hands-on experience with Large Language Models (GPT-4 class or equivalent) in production environments\n- Proven experience designing and delivering agentic AI systems (multi-agent orchestration, tool-calling, state management)\n- Strong proficiency in Python and modern AI frameworks (LangChain, LangGraph, Semantic Kernel, or equivalent)\n- Deep understanding of prompt engineering: system prompts, context assembly, retrieval strategies, and evaluation methods\n- Experience with RAG architectures: vector databases, embedding models, chunking strategies, retrieval quality metrics\n- Hands-on experience with cloud AI platforms (Azure AI, AWS Bedrock, GCP Vertex AI, or equivalent)\n- Experience leading engineering teams (2–6 direct reports) with a track record of delivering production AI systems\n- Strong understanding of CI\u002FCD for AI workloads including eval-suite integration and automated testing\n- Knowledge of identity and security patterns: managed identities, RBAC, content safety, zero-trust principles\n\n**Desirable**\n\n- Experience with event-driven architectures (Kafka, Service Bus, or equivalent messaging systems)\n- Familiarity with ML model serving and MLOps (MLflow, model registries, drift detection)\n- Experience with OCR \u002F Document Intelligence solutions\n- Knowledge of FinOps practices for AI workloads (token cost tracking, model-tier optimisation, budget governance)\n- Experience with rules engines (Drools, or equivalent)\n- Insurance, financial services, or other regulated-industry experience\n- Familiarity with Infrastructure-as-Code (Terraform, Bicep, or equivalent)\n\n## Key Competencies\n\n| **Technical Depth** | Can go deep on LLM internals, agent orchestration, and system design while maintaining a broad architectural view |\n| --- | --- |\n| **Delivery Focus** | Drives outcomes through structured delivery with clear gates, quality bars, and accountability |\n| **Communication** | Translates complex AI concepts for business audiences; writes clear design documents and architecture decision records |\n| **Pragmatism** | Balances innovation with production readiness; knows when to PoC and when to ship |\n| **Security Mindset** | Treats security as non-negotiable; designs with defence in depth from day one |\n| **People Leadership** | Grows engineers through mentoring, code review, and creating space for experimentation |\n| **Collaboration** | Works effectively across business, data, platform, and operations teams with a joint-accountability mindset |\n\n## What Success Looks Like (First 12 Months)\n\n- Delivered 2–3 AI\u002Fagentic solutions to production with measurable business impact\n- Established engineering standards, templates, and accelerators adopted by the wider team\n- Built and maintained an evaluation framework with CI-integrated golden-set testing\n- Achieved stable production operations with defined SLAs, observability, and incident response\n- Grown the AI engineering team's capability through mentoring, knowledge sharing, and structured onboarding\n- Contributed to cross-cutting frameworks (security, observability, governance) used across the organisation\n\nAllianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. \n\nAt Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust. \n\nWe therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. \n\nGreat to have you on board**.** **Let's care for tomorrow.**",{"bicep":116,"ci\u002Fcd":117,"kafka":116,"mlflow":116,"python":117,"azure ai":117,"langchain":117,"langgraph":117,"terraform":116,"aws bedrock":117,"service bus":116,"gcp vertex ai":117,"semantic kernel":117},3,4,[45,46,47,48,49,50,51,52,53,54,55,56,57],{"technical leadership":117,"communication":117,"collaboration":117,"people leadership":117,"pragmatism":117,"security mindset":117,"delivery focus":117},[58,59,60,61,62,63,64],{"mlops":116,"finops":116,"rules engines":116,"ai\u002Fml solutions":117,"team leadership":117,"agentic ai systems":117,"prompt engineering":117,"delivery management":117,"security & governance":117,"solution architecture":117,"stakeholder engagement":117,"event-driven architectures":116,"observability & operations":117,"ocr \u002F document intelligence":116,"large language models (llms)":117,"retrieval-augmented generation (rag)":117},[65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80],{"detected_language_jobad":124,"required":125},"en",[126],[127],{"language":128,"level":129},"ENGLISH","C1",8,[132,133],"Software and Applications Development and Analysis","Database and Network Professionals",[132,133],"https:\u002F\u002Fcareers.allianz.com\u002Fglobal\u002Fen\u002Fjob\u002F106969\u002Fai-tech-lead-data-engineering-d3006","insurance","Insurance",1]