Lead Generative AI Engineer

Category: Software Development/ Engineering

Main location: United States, Virginia, Reston

Position ID:J0726-1335

Employment Type: Full Time

Position Description:

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.
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 that balance accuracy, performance, latency, and cost.
her Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $80,600.00 $267,800.00.

CGI anticipates accepting applications for this position through Aug 31, 2026.
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CGI's benefits are offered to eligible professionals on their first day of employment to include:
. 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

Skills:

• Agentic AI
• Amazon CloudFront
• Artificial Intelligence
• Generative AI
• Google Cloud Platform
• Retrieval-Augmented Gen.(RAG)
• LangGraph