Lead the architecture, design, development, and integration of AI-based engineering platforms, applications, agents, and skills that support software delivery and improve developer productivity.

Drive adoption of AI-enabled development platforms across the engineering community by embedding capabilities by doing road show, COPs and Demo sessions.

Provide technical leadership and consultation to engineering teams on AI solution design, application integration, prompt and workflow patterns, and secure, scalable implementation approaches.

Design and implement robust testing and validation approaches for AI-enabled applications and platforms, including automated testing, quality assurance, and integration into CI/CD pipelines.

Research, evaluate, and recommend AI tools, frameworks, models, and platform capabilities to determine the most effective and cost-efficient solutions for business and engineering needs.

Collaborate with engineering, infrastructure, security, testing, and external partners to align requirements, integrate solutions, and ensure successful delivery of AI platform capabilities.

Contribute to AI engineering strategy, architecture direction, governance, and best practices, including reusable patterns for platform development, integration, observability, and supportability.

Support deployment, monitoring, issue resolution, and ongoing enhancement of AI-based applications and platforms in test and production environments to ensure reliability, performance, and continuous improvement.

Solid knowledge of use of AI native development tools e.g. Cursor, GitHub Copilot, Claude Code, and MCPs.

Solid technical skills for developing AI based platforms/apps/agents/skills etc.

Experience with development of EVALs and Observability platforms for AI native solutions

Experienced in AI model development and app design, specifically Vertex AI.

Experience with RAG (Retrieval-Augmented Generation) pipeline architecture and development

Solid technical knowledge of high-level programming languages like Python and/or Typescript, Java, JavaScript,

Solid technical knowledge of high-level programming languages, databases, interfaces, and familiarity with application program development alternatives.

Advanced knowledge in designing and building Integration platforms, APIs and Webservices.

Working knowledge of different versions of Dev tools like VS Code or JetBrains IDEs; Git and GitHub; npm/yarn, pip, and/or maven/gradle; docker – 5+ years of experience.

Good experience in development of AI native system development life cycle, and application program development technological alternatives.

Proven understanding of state-of-the-art application development support software packages,

proficiency in at least one higher level programming language.

Proven solid analytical and problem-solving skills.

Excellent communications and interpersonal skills and the ability to work effectively with peers, IT management and staff, and internal/external business partners/clients.

Ability to manage projects, lead teams, and mentor individuals.

Preferred insurance industry knowledge.

Preferred experience with React or other front-end frameworks.

Preferred experience as an SDET or deep knowledge of test automation tools like Playwright, Cypress