Technical Specialist/Full Stack (AI, Python)_2232

Overall Objectives of Job:

Qualifications & Experience

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 6 - 8 years of overall IT experience, with 2-4 years in an GenAI role.
• Proven experience designing and implementing enterprise-scale solutions across multiple domains such as data platforms, cloud, integration, and application modernization.
• Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP), including cloud-native services.

Role & Responsibilities

• Define a GenAI solution, ensuring scalability, security, interoperability, and future readiness.
• Utilize advanced Python skills to support and enhance AI use cases, ensuring the efficient and effective implementation of AI solutions.
• Develop and execute comprehensive test scripts using PyTest to ensure the reliability and accuracy of AI models and applications.
• Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to integrate AI capabilities into existing systems and workflows.
• Analyze and optimize AI algorithms for performance and scalability, ensuring they meet business requirements.
• Stay updated with the latest advancements in AI and machine learning technologies and apply them to improve existing solutions.
• Provide technical expertise during architecture reviews, PoCs, AI pilots, and enterprise-scale implementations, ensuring measurable business value.

Ensure compliance with security, data privacy, regulatory, and enterprise governance standards, including model governance, data lineage, and auditability.

Must-Have

• Python: Advanced proficiency with extensive experience in writing efficient, maintainable, and scalable code. Demonstrated ability to solve complex problems using Python.
• PyTest: Basic experience in writing and executing unit tests, with a fundamental understanding of test-driven development practices.

Good-to-Have

• Cloud Computing: Familiarity with cloud platforms and services, with hands-on experience in deploying and managing AI applications in a cloud environment.
• Azure: Experience with Microsoft Azure, particularly in using its AI and machine learning services.
• APIs: Knowledge of designing, developing, and consuming APIs, particularly RESTful APIs, for integrating AI solutions with other systems and applications.

Skills/Specific Tasks/Activities performed

Architectural Design & Governance

• Define and document solution architecture for business initiatives.
• Ensure solutions comply with enterprise architecture standards, security policies, and regulatory requirements.
• Conduct architecture reviews and provide recommendations for improvement.

Functional / Domain (e.g. Underwriting, Claims Mgmt.)

Insurance

Business / Client Engagement (e.g. Marketing, Consulting)

• Collaborate with stakeholders to define project goals, scope, and deliverables.
• Develop project plans, timelines, and resource allocation strategies.
• Ensure projects are executed according to plan, meeting quality standards and deadlines.
• Monitor and report on project progress, identifying and addressing any deviations.

People Engagement (e.g. Hiring, Training etc.)

• Lead and mentor a team of Angular developers, ranging from 3 to 5 years of experience.
• Provide technical guidance, review code, and assist team members in problem-solving.
• Manage team assignments, workload distribution, and performance evaluations.