This role involves designing and delivering practical, secure, and scalable AI solutions using Large Language Models (LLMs), AI Agents, and Retrieval-Augmented Generation (RAG). The architect will lead AI discovery workshops, translate business requirements into production-ready architectures, and partner with stakeholders to establish AI governance and best practices. Candidates must have 5+ years in solution architecture or engineering, with 2+ years in Generative AI or AI/ML in enterprise environments.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
AI Solutions Architect
Location: Fully Remote (United States โ PST Hours Preferred)
Employment Type: 6-Month Contract (View to Extend)
Our client is seeking an experienced AI Solutions Architect to help design and deliver practical, secure, and scalable AI solutions that improve operations, productivity, and business performance.
Key Responsibilities
- Lead AI discovery workshops and identify high-value business use cases for AI adoption.
- Design secure, scalable AI solutions leveraging Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), vector databases, and automation technologies.
- Translate business requirements into production-ready AI architectures and guide implementation through deployment and adoption.
- Partner with business stakeholders and technical teams to establish AI governance, evaluation, monitoring, and responsible AI best practices.
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Requirements
- 5+ years of experience in Solution Architecture, Software Engineering, Technical Consulting, or a related field.
- 2+ years of experience designing or delivering Generative AI, AI/ML, intelligent automation, or data-driven solutions in enterprise environments.
- Strong knowledge of LLMs, Agentic AI, RAG, vector databases, AI orchestration, cloud platforms, and enterprise AI integrations.
- Excellent stakeholder management and communication skills with the ability to translate complex technical concepts into practical business solutions.
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Nice to Have
- Experience with Microsoft Copilot, Azure AI Foundry, OpenAI, Anthropic, Gemini, or similar enterprise AI platforms.
- Knowledge of LLMOps, AI evaluation, monitoring, and observability practices.
- Experience with AI governance, responsible AI, or AI risk management.
- Previous experience within professional services, advisory, accounting, tax, audit, or financial services environments.
Please apply with an up-to-date resume
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