Lead AI Engineering Architect

Saxon Global • Boston, MA

5d

About The Position

Looking for an AI Engineering leader with extensive experience delivering AI solutions into the enterprise. This role involves standing up foundational agentic capabilities that will be leveraged across the organization. It's a great opportunity for someone who wants to lead the building of core AI capabilities in a greenfield environment. Proven track record of partnering with top asset managers is preferred, but strategic AI delivery experience is critical. The opportunity is to design and implement scalable AI solutions that enhance investment decision-making, operational efficiency, risk management, and client experience.

Requirements

• Agentic AI solution architecture experience – need genuine experience building and deploying agents in the enterprise.
• Solution-oriented mindset – this is not a heads down engineering role. The ability to design and present on the solution architecture is required.
• Client-oriented thinking – Need to have a genuine interest in partnering with the client to deliver on their goals and objectives.
• Hands-on experience with modern AI development lifecycle tools, agentic frameworks, and enterprise AI platforms, with the ability to take solutions from concept through production deployment.
• Experience with Microsoft Fabric and in building and deploying AI agents on Azure AI Foundry.
• Strong hands-on experience with at least one AI-assisted development platform: Claude Code, GitHub Copilot, Cursor, Windsurf, Slingshot.
• Experience building, testing, and deploying agentic AI solutions in enterprise environments.
• Solid understanding of Large Language Models (LLMs), prompt engineering, AI workflow orchestration, tool calling, memory management, and agent architectures.
• Strong software engineering fundamentals with experience in API integration, system design, and application development.

Nice To Haves

• Proven track record of partnering with top asset managers is preferred.
• Proven experience designing and implementing AI agents using modern Generative AI frameworks such as: LangGraph, LangChain, LangSmith.
• Familiarity with cloud-native AI architectures and MLOps best practices.
• Experience integrating AI solutions with enterprise data platforms and business applications.
• Combines deep Generative AI expertise with strong software engineering skills and a passion for building intelligent, production-grade AI solutions.
• Stays current with the rapidly evolving AI ecosystem and has practical experience turning AI concepts into measurable business outcomes.

Responsibilities

• Design, develop, and deploy AI agents and agentic workflows using modern Generative AI frameworks
• Build scalable solutions leveraging Large Language Models (LLMs), retrieval-augmented generation (RAG), orchestration frameworks, and autonomous agents.
• Develop and optimize multi-step AI workflows that integrate with enterprise systems, APIs, and business processes.
• Collaborate with product, engineering, and business stakeholders to identify AI use cases and deliver production-ready solutions.
• Evaluate emerging AI technologies, frameworks, and tools to improve development efficiency and solution effectiveness.
• Ensure AI solutions meet enterprise standards for scalability, security, performance, and maintainability.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed