What you do

Lead end‑to‑end delivery and own solution architecture for cloud‑based AI on Azure/AWS using Python and SQL—focusing on GenAI applications (e.g., RAG and agentic workflows) that deliver measurable business outcomes.

Translate business goals into technical roadmaps, designs, and success metrics; define scope, milestones, and acceptance criteria; manage timelines and risks to ensure on‑time, high‑quality delivery.

Build, harden, and scale services with solid engineering practices (CI/CD, containerization, Infrastructure as Code with Terraform), robust data pipelines on Databricks Lakehouse architecture (Delta, Unity Catalog), and secure integrations (APIs/events); ensure data quality and privacy by design.

Establish and enforce responsible AI guardrails (safety, privacy, evaluation); lead compliance with Allianz security and governance standards.

Instrument solutions for telemetry and analytics; optimize performance, reliability, and cost; track and report benefits against KPIs and ROI.

Manage stakeholders across Allianz entities: facilitate workshops, communicate trade‑offs, produce executive‑ready presentations/demos, and align cross‑functional teams.

Mentor junior engineers; drive coding standards, documentation quality, PR review rigor, and reusable components/playbooks (templated repos, CI/CD via GitHub Actions) to enable scale.

Drive innovation and vendor/tool evaluation: identify new AI opportunities, run experiments, deliver prototypes and business cases, and support proposals/pre‑sales when needed.

What you bring 

3+ years of hands‑on experience in AI/ML application engineering or technical consulting, with a track record of shipping production solutions.

Advanced Python and strong SQL; demonstrated experience building LLM applications (RAG architectures, Agentic Workflows) and using orchestration frameworks (e.g., LangChain, LlamaIndex).

Cloud proficiency with Azure or AWS AI services (e.g., Azure OpenAI, Cognitive Search; AWS Bedrock), IAM/security hygiene; containers and Kubernetes (AKS/EKS), Infrastructure-as-Code (Terraform), and CI/CD (GitHub Actions) for deployments.

MLOps/LLMOps practices: experiment tracking, prompt/model versioning, offline/online evaluation, monitoring/logging, and incident response.

Integration and data engineering: design APIs/events, microservices, and data pipelines/ETL; ensure data quality, lineage, and privacy/security by design. Hands-on experience with modern data platforms (e.g., Databricks — Lakehouse, Spark, Unity Catalog, Delta tables; Azure Synapse; Snowflake) and data governance/quality tooling (e.g., Informatica) is an advantage; familiarity with Power BI for analytics reporting is a plus.

Structured problem‑solving and the ability to bridge business and technology: translate requirements into architecture and delivery plans; quantify impact with KPIs and ROI; make clear, data‑backed decisions.

Communication excellence: strong written and verbal skills; executive‑ready storytelling; ability to influence and align cross‑functional teams;

Education and domain: strong academic background; Master’s (or PhD/MBA) from a top university preferred. Relevant cloud/AI/GenAI certifications and domain knowledge in insurance/financial services are advantages.

Locations

Hybrid 3 days/week in Golden Valley, MN

What we offer

We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working

We believe in rewarding performance and our compensation and benefits package includes health insurance, company bonus scheme, 401(K) with company match, company paid holidays, paid time off, paid volunteer days, tuition reimbursement, paid parental leave, an employee shares program and employee discounts From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.

The annualized base pay range for this role is $85,000-115,000 in Minneapolis. The annual base salary range represents a nationwide market range. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role, and the skills, education, training, credentials and experience of the candidate. The base pay is just one component of the ATA total compensation package. As part of our comprehensive compensation and highly rated benefits programs, ATA also offers eligibility for an incentive-based annual bonus.

About Allianz Technology

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. 

We are united by a shared commitment: to put our customers first and at the centre of everything we do. Their needs inspire our thinking and guide our actions.

Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future – for our customers and for the world around us. 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. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. 

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.

Join us. Let’s care for tomorrow.

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