Job Title: Gen AI Architect / AI Architect

Experience: 8–10 Years

Location: McLean, VA- 100% ONSITE- ONLY LOCAL CANDIDATES REQUESTED WHO ARE READY FOR F2F INTERVIEW.

Employment Type: [Contract]

Role Overview

We are seeking an experienced Gen AI Architect to define and lead the enterprise-wide AI strategy. The ideal candidate will design scalable AI solutions, establish governance standards, and drive adoption of cutting-edge AI/GenAI technologies including large language models (LLMs), vector databases, and cloud-based AI platforms.

Key Responsibilities

• Define and design end-to-end AI architecture aligned with business and technology strategy
• Create the vision and roadmap for AI/GenAI initiatives across the enterprise
• Lead solution design for Generative AI use cases, including LLM-based applications
• Establish AI standards, governance, frameworks, and best practices
• Architect and implement solutions using:
• Large Language Models (LLMs)
• Prompt engineering frameworks
• Vector databases (e.g., Pinecone, FAISS, Weaviate)
• RAG (Retrieval Augmented Generation) architectures
• Design and oversee cloud-based AI deployments (Azure, AWS, GCP)
• Drive Responsible AI practices, including fairness, explainability, privacy, and risk mitigation
• Collaborate with cross-functional teams (engineering, data science, product, business stakeholders)
• Evaluate and onboard AI tools, platforms, and emerging technologies

Required Skills & Expertise

• Strong experience in AI/ML Architecture and Gen AI solutions
• Deep expertise in:
• Large Language Models (OpenAI, Azure OpenAI, Hugging Face, etc.)
• GenAI frameworks (LangChain, LlamaIndex, etc.)
• Hands-on experience with vector databases and semantic search
• Strong knowledge of cloud platforms (Azure preferred, AWS/GCP also acceptable)
• Experience in API design, microservices architecture, and scalable systems
• Understanding of MLOps / LLMOps practices
• Experience implementing Responsible AI principles