Lead Generative AI Engineer

Lead Generative AI Engineer

Category:
Software Development/ Engineering

Main location:
United States, Virginia, Reston

Position : J

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.

• 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.

• 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.

• 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.

A reasonable estimate of the current range for this role in the U.S. is $80,600.00 – $.

• 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

Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.

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