Lead Generative AI Engineer
Listed on 2026-07-19
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Software Development
AI Engineer (Applied/Software), Cloud Engineer - Software, DevOps
Lead Generative AI Engineer
We are seeking an experienced technical lead to design, build, and scale Generative AI and agentic solutions in a complex enterprise environment. This role combines hands-on engineering, solution architecture, and technical leadership, with a focus on moving AI solutions from proof of concept into secure, reliable production systems. The ideal candidate is platform-agnostic, has strong Python and cloud experience, and is comfortable leading teams while remaining actively involved in design and development.
Experience with Google Cloud Platform and Vertex AI is preferred.
Your future duties and responsibilities:
- Lead the architecture and development of Generative AI, Retrieval-Augmented Generation, and agentic AI solutions.
- Build and scale AI applications from prototype through production deployment.
- Design secure, scalable integrations across cloud, data, and enterprise platforms.
- Develop RAG pipelines, multi-agent workflows, APIs, and microservices.
- Establish engineering standards, conduct code reviews, and mentor technical teams.
- Implement CI/CD, MLOps, automated testing, monitoring, and observability.
- Evaluate AI solutions for quality, hallucinations, latency, reliability, and cost.
- Partner with business, architecture, security, and data teams to translate requirements into technical solutions.
- Implement responsible AI guardrails related to privacy, security, bias, and human oversight.
- Create reusable AI components, frameworks, and development standards.
Required qualifications to be successful in this role:
- 6+ years of experience in software engineering, data engineering, machine learning engineering, or a related field.
- Proven experience deploying and supporting AI or machine learning solutions in production.
- Strong experience with Generative AI, large language models, RAG, prompt engineering, and context engineering.
- Advanced proficiency in Python.
- Experience with GCP, AWS, Azure, or a comparable cloud platform.
- Experience with APIs, microservices, containerization, Docker, and Kubernetes.
- Knowledge of CI/CD, ML Ops, LLM Ops, monitoring, and AI evaluation practices.
- Demonstrated ability to lead technical teams and communicate with senior stakeholders.
Skills:
- Lang Graph
What you can expect from us:
Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect, and belonging. Here, you'll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team—one of the largest IT and business consulting services firms in the world.
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