AI Solution Architect (W2 Only / No C2C)
About The Position
The AI Solution Architect will guide partner-led initiatives supporting the client’s investment in a unified, Microsoft Azure-based data and AI platform. The role focuses on governance and oversight rather than direct implementation. As the internal AI subject matter expert, the architect will ensure solutions ranging from chatbots to complex agentic AI workflows are designed and built to the organization’s standards and delivered successfully. The architect will provide expert review and guidance on partner-delivered AI projects, validate proposed architectures for soundness, scalability, and strategic alignment, and represent internal requirements in project meetings with partners and stakeholders. The role also monitors the development lifecycle and quality of final AI products, including functional and non-functional requirements and the handling of structured and unstructured data. Success requires experience in large corporate environments, a process-oriented and consultative approach, and the ability to connect technical implementation with business objectives.
Requirements
- At least 8 years of overall experience, including at least 2 years of hands-on GenAI/LLM development.
- Strong experience building GenAI applications, AI agents, agentic workflows, and multi-agent solutions.
- Hands-on experience with LLMs, RAG, embeddings, vector search, prompt engineering, and tool/function calling.
- Experience with unstructured data processing, including PDF/document extraction, OCR, image processing, classification, and summarization.
- Strong Python development skills and API integration experience.
- Experience with AI frameworks such as LangChain, LangGraph, or equivalent.
- Familiarity with Databricks AI capabilities, including AI Functions, AI Search/Vector Search, Model Serving, and MLflow.
- Experience with AI evaluation frameworks, guardrails, hallucination testing, human-in-the-loop workflows, and AI observability.
- Experience with AI-assisted/spec-driven development and production deployment of enterprise AI applications.
- Demonstrated experience working in large, complex corporate environments; must be process-oriented and able to navigate a large enterprise.
- Strategic thinking and a consultative mindset, with the ability to connect technical implementation to business objectives.
Responsibilities
- Provide expert review and guidance on AI projects delivered by external partners, particularly agentic AI use cases, chatbots, and data orchestration workflows.
- Review partner-proposed designs and architectures for technical soundness, scalability, and alignment with strategic goals and internal technical principles.
- Represent the organization as its internal AI expert in project meetings and ensure requirements are understood and implemented correctly by partners.
- Monitor the development lifecycle and quality of delivered AI products to ensure functional and non-functional requirements are met, including requirements for structured and unstructured data.
- Review partner AI solution designs, agent workflows, code quality, performance, and cost optimization.
Benefits
- Medical, dental, and vision coverage, subject to eligibility.
- Critical Illness, Accident, and Hospital coverage, subject to eligibility.
- 401(k) Retirement Plan with pre-tax and Roth post-tax contributions available, subject to eligibility.
- Voluntary Life and AD&D insurance for employees and dependents, subject to eligibility.
- Short- and long-term disability coverage, subject to eligibility.
- Health Spending Account (HSA), subject to eligibility.
- Transportation benefits, subject to eligibility.
- Employee Assistance Program, subject to eligibility.
- Time off/leave, including PTO, vacation, or sick leave, subject to eligibility.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Senior
Education Level
No Education Listed
