Gen AI Architect (Local to McLean, VA)

Job Title:

Gen AI Architect Location:

McLean, VA ( 100% Onsite - LOCAL

CANDIDATES ONLY

)

Interview Mode:

Face-to-Face Interview Required Duration:

12+

Months Employment Type:

Contract Experience Required:

8-10

Years Important Note:

Only local candidates who are available for in-person interviews should be submitted. Job Summary We are seeking an experienced Gen AI Architect to lead enterprise AI solution architecture initiatives, define AI transformation strategies, and establish enterprise-wide AI standards and governance frameworks. The ideal candidate will possess deep expertise in Generative AI, Large Language Models (LLMs), vector databases, cloud AI deployments, and Responsible AI practices . This role requires a strategic and hands-on AI leader capable of designing scalable AI architectures while collaborating with engineering, business, and executive stakeholders. Required Experience 8+ years of experience in: AI Architecture Enterprise Solution Architecture Machine Learning / Generative AI Cloud AI Platforms Proven experience leading enterprise AI initiatives Experience designing scalable AI/GenAI solutions in enterprise environments Must Have Technical Skills Generative

AI / LLM

Expertise Strong expertise in: Large Language Models (LLMs) Generative AI frameworks Prompt engineering concepts AI orchestration frameworks AI model lifecycle management AI solution architecture AI Architecture Experience with: Enterprise AI architecture design AI platform strategy AI governance frameworks Scalable AI deployment patterns AI integration architecture Multi-model AI ecosystems Vector Databases Hands-on experience with: Vector databases Embedding architectures Semantic search solutions Retrieval-Augmented Generation (RAG) Knowledge retrieval systems Cloud AI Deployments Strong experience with cloud platforms such as: AWS Azure Google Cloud Platform Cloud-native AI deployment architectures AI infrastructure scalability Secure AI deployments Responsible AI / Governance Strong understanding of: Responsible AI frameworks AI governance Ethical AI practices AI risk management Compliance and security considerations Explainability and bias mitigation strategies Key Responsibilities Create and define enterprise AI solution architectures Establish AI standards, frameworks, and best practices across the organization Define long-term AI strategy and transformation roadmaps Design scalable GenAI and LLM-based enterprise solutions Lead architecture decisions for vector databases and retrieval systems Drive Responsible AI implementation strategies and governance Collaborate with engineering, business, and leadership teams Support cloud deployment and scaling of AI solutions Guide AI platform modernization and integration initiatives Evaluate emerging AI technologies, frameworks, and tools Preferred Qualifications Experience implementing enterprise-scale GenAI platforms Experience with RAG architectures and AI copilots Exposure to AI Ops / MLOps frameworks Financial services or enterprise consulting experience preferred Education Master s Degree in: Computer Science Artificial Intelligence Machine Learning Related technical discipline