AI Solution Architect

• Role: AI Solution Architect • Location: Remote • Job Type: Full-Time • Payout: Competitive, based on experience Role Overview: We are hiring for one of our clients, seeking an AI Engagement Lead / Solution Architect to drive a generative AI engagement end-to-end for a Fortune 500 financial-services client. The role requires owning solution design, key technical decisions, and client relationship from proof-of-concept through full-scale implementation. Key Responsibilities: • Act as the single point of accountability for both architecture and delivery, leading a team of specialists including AI/ML engineers and integration engineers. • Own the solution design, set guardrails, and govern delivery to ensure a governed release aligned with client priorities. • Make and defend key design decisions, ensuring alignment with modern generative AI agentic frameworks and integration patterns. • Partner with the client’s architects, business analysts, and valuation subject-matter experts to align technical solutions with business outcomes. • Lead end-to-end program execution, ensuring seamless integration and automation across enterprise systems. Required Skills & Qualifications: • 10+ years of professional experience, with 4+ years driving machine learning or AI projects and solution design. • Accountable ownership of solution architecture, including setting target architecture and defending design decisions. • Deep understanding of modern generative AI agentic designs and frameworks such as LangChain or LangGraph. • Experience with AI integration patterns, including Model Context Protocol (MCP)-style architectures. • Proficiency in cloud platforms including Azure, Google Cloud Platform, or AWS. • Strong collaboration skills to align technical solutions with business stakeholders and SMEs. • Experience delivering enterprise-scale AI solutions in financial-services or regulated environments. • Ability to lead cross-functional teams and manage client relationships at executive levels. More About the Opportunity: This role offers a unique opportunity to contribute to the deployment of mission-critical AI systems for a leading financial-services organization. You will shape the technical vision and execution for a high-impact generative AI initiative. Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now! Show more Show less

10+ years of professional experience, with 4+ years driving machine learning or AI projects and solution design. Accountable ownership of solution architecture, including setting target architecture and defending design decisions. Deep understanding of modern generative AI agentic designs and frameworks such as LangChain or LangGraph. Experience with AI integration patterns, including Model Context Protocol (MCP)-style architectures. Proficiency in cloud platforms including Azure, Google Cloud Platform, or AWS. Strong collaboration skills to align technical solutions with business stakeholders and SMEs. Experience delivering enterprise-scale AI solutions in financial-services or regulated environments. Ability to lead cross-functional teams and manage client relationships at executive levels.

Act as the single point of accountability for both architecture and delivery, leading a team of specialists including AI/ML engineers and integration engineers. Own the solution design, set guardrails, and govern delivery to ensure a governed release aligned with client priorities. Make and defend key design decisions, ensuring alignment with modern generative AI agentic frameworks and integration patterns. Partner with the client’s architects, business analysts, and valuation subject-matter experts to align technical solutions with business outcomes. Lead end-to-end program execution, ensuring seamless integration and automation across enterprise systems.