Senior AI Engineer

Location: Multiple locations; hybrid work model

Company

A global technology services organization providing business and technology advisory, enterprise solutions, design, managed services, product development, and software development.

What you will do

• Design and develop AI agents, prompts, skills, and agentic workflows.
• Collaborate with Data Scientists, Data Analysts, and the Product Owner to convert technical and business knowledge 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 agent recommendations for correctness, reliability, bias, and business relevance, and automate assessment through an evaluation framework.

Requirements

• Senior-level experience with at least one modern AI coding environment or harness, such as Claude Code, Codex, GitHub Copilot, AWS Kiro, or Cody.
• Strong prompt engineering and context engineering skills, with experience building AI workflows, skills, MCP servers, and agents.
• Understanding of LLM behavior, limitations, and evaluation methods.
• Strong software engineering discipline, including code analysis and refactoring, clean code, Git, CI/CD, testing, and quality engineering.
• Practical Python and SQL skills, plus familiarity with data warehouses, semantic layers, semantic modelling, and BI platforms.
• Professional working proficiency in English at an advanced level.

Nice to have

• Experience with AWS Kiro, Amazon Quick, and multiple AI coding harnesses.
• Experience evaluating non-deterministic AI outputs.
• Experience with Snowflake, Tableau, or Power BI.
• Understanding of data science workflows, including exploration, preparation, modelling, and validation.

Culture & Benefits

• Flexible and hybrid work models.
• Private health insurance and well-being programs.
• Laptop and work equipment provision.
• Training and language classes.
• Social events and access to office facilities.
• Equal-opportunity workplace focused on autonomy, trust, support, and inclusion.

Hiring process

• Submit a CV describing core skills and career goals.
• Complete a talent call and technical interview.
• Some roles include a customer interview before the offer.