Senior AI Architect
Landing Point Search Group
New York · Posted October 15, 2026
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How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
Location: New York NY
Type: Perm
Job #26893
Company Overview: A global private investment firm with over $120 billion in assets under management is seeking a Senior AI Architect to join their team. The role focuses on designing and delivering secure, scalable AI solutions across the firm.
Job Responsibilities:
Partner with the Lead AI Architect to develop and apply reference architectures, engineering patterns, and standards for AI workflows. Own technical design, implementation, and production operation of assigned AI products. Design and deploy Model Context Protocol (MCP) servers and tools with clear schemas and permissions. Design human-in-the-loop workflows with approval gates and auditable handoffs. Build evaluation and regression harnesses for quality and safety checks. Implement security and governance controls in partnership with Cybersecurity. Partner with Data and Platform Engineering for deployment and operations support. Evaluate models, platforms, vendors, and emerging capabilities. Develop critical components, review code, and troubleshoot technical issues. Document solution designs and operational handoffs. Mentor AI engineers and provide technical guidance.
Qualifications:
Bachelor’s or advanced degree in computer science, engineering, machine learning, or related field. 6–10+ years of experience in software, data, ML, or AI engineering. Strong experience with LLM APIs, RAG, embeddings, vector search, and AI application security. Experience with agentic systems using SDKs like Claude Code, OpenAI Agents SDK, or LangChain. Experience designing MCP servers and human-in-the-loop workflows. Strong Python and software-engineering skills, including APIs and cloud services. Experience integrating AI with enterprise data platforms and business applications. Preferred experience with Snowflake, Azure, or AWS, and enterprise AI platforms.
Compensation: Salary: $175,000 – $200,000, Plus Bonus
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