Lead Generative AI Engineer

Join CGI Group, Inc. in Reston, VA (onsite) to lead the architecture and development of Generative AI and agentic AI solutions. This role blends hands-on engineering with technical leadership, taking initiatives from proof of concept to secure, reliable production systems across an enterprise environment. Salary range: USD 80,600 - 267,800 per year. Minimum experience: 6+ years.

What you’ll work on

• Lead the architecture and development of Generative AI, Retrieval-Augmented Generation (RAG), and agentic AI solutions
• Build and scale AI applications from prototype through production deployment
• Develop RAG pipelines, multi-agent workflows, APIs, and microservices
• Design secure, scalable integrations across cloud, data, and enterprise platforms
• Implement responsible AI guardrails covering privacy, security, bias, and human oversight
• Evaluate AI solutions for quality, hallucinations, latency, reliability, and cost

Engineering leadership and delivery

• Establish engineering standards, perform code reviews, and mentor technical teams
• Deliver CI/CD and operational readiness with MLOps, LLM Ops, automated testing, monitoring, and observability
• Partner with business, architecture, security, and data teams to translate requirements into technical solutions
• Create reusable AI components, frameworks, and development standards to accelerate delivery

Required qualifications

• 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 Python proficiency
• 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
• Ability to lead technical teams and communicate with senior stakeholders

Preferred qualifications

• Experience with Google Cloud Platform and Vertex AI
• Experience with Palantir Foundry
• Experience building AI agents using Lang Graph, Agent Development Kit, or custom frameworks
• Knowledge of traditional machine learning techniques, including classification, regression, and clustering
• Experience designing hybrid AI solutions balancing accuracy, performance, latency, and cost

Technologies

• Python
• Google Cloud Platform, Vertex AI
• AWS, Azure
• Docker, Kubernetes
• Retrieval-Augmented Gen. (RAG)
• LangGraph, Lang Graph
• Amazon CloudFront
• Palantir Foundry
• Agent Development Kit

Compensation and benefits

• Competitive compensation (USD 80,600 - 267,800 per year)
• Comprehensive insurance options
• Matching contributions through the 401(k) plan and the share purchase plan
• Paid time off for vacation, holidays, and sick time
• Paid parental leave
• Learning opportunities and tuition assistance
• Wellness and Wellbeing programs