Senior AI Engineer
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Job Description
Senior AI Engineer building AI agents, MCP servers, and agentic workflows for Avenga’s global technology and software services. Integrating Python, SQL, Snowflake, and semantic models to support data-driven teams.
Responsibilities:
- Design and develop AI agents, prompts, skills, MCP servers, and agentic workflows
- Collaborate with Data Scientists, Data Analysts, and the Product Owner to capture technical and business knowledge and convert it into reusable AI context, skills, and agents
- Review, refactor, and extend Python and SQL resources for AI consumption
- Work with Snowflake data structures, semantic views, and semantic models to support data-driven agentic workflows
- Assess AI agent recommendations for correctness, reliability, bias, and business relevance
- Design and automate AI evaluation processes and frameworks for non-deterministic AI outputs
- Apply prompt engineering and context engineering techniques to improve AI solution quality and reliability
- Follow software engineering best practices, including clean code, Git, testing, CI/CD, and code review
- Continuously explore and adopt modern AI engineering tools, frameworks, and approaches
Requirements:
- Hands-on experience with modern AI coding environments such as Claude Code, Codex, GitHub Copilot, AWS Kiro, or similar
- Strong prompt engineering and context engineering skills
- Practical experience building AI agents, workflows, skills, and MCP servers
- Solid software engineering fundamentals, including Python, SQL, Git, CI/CD, testing, and clean code practices
- Experience with AWS Kiro and Quick, or multiple AI coding environments/harnesses (nice to have)
- Experience evaluating non-deterministic AI outputs and building AI evaluation frameworks (nice to have)
- Experience with Snowflake, semantic modelling, Tableau, Power BI, or data science workflows (nice to have)
Benefits:
- Equal opportunities in recruitment, career development, and leadership
- Diverse and inclusive work environment
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