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
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