Lead Generative AI Engineer

Join CGI Group, Inc. in Reston, VA (onsite) to lead the architecture and development of Generative AI and agentic solutions that move from proof of concept to secure, reliable production systems. This role blends hands-on engineering with solution architecture and technical leadership across RAG pipelines, integrations, and MLOps, supported by a compensation and benefits package designed to help you perform and grow.

Compensation: USD 80,600 - 267,800 per year

Experience: 6+ years

What you’ll be doing

• Lead architecture and development for Generative AI, Retrieval-Augmented Generation (RAG), 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.
• Set engineering standards, perform 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 covering privacy, security, bias, and human oversight.
• Create reusable AI components, frameworks, and development standards.

What you bring

• 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.

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.

Benefits

• Competitive compensation
• 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

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