Senior AI Engineer

Simpson Thacher & Bartlett is seeking a Senior AI Engineer to design, build, and operationalize enterprise-scale Generative AI solutions for the Infrastructure Automation & Orchestration team. This role sits at the intersection of LLM-based application engineering and secure integration with enterprise systems, with work spanning RAG, agentic workflows, and Model Context Protocol (MCP) frameworks.

Based in New York, NY with a hybrid work arrangement, you will help deliver AI-powered capabilities that automate complex business processes. The estimated base salary range is $175,000 to $200,000 per year. This position is exempt (not overtime pay eligible), and Simpson Thacher & Bartlett will not sponsor applicants for work visas for this role.

What you’ll do

• Design, develop, and deploy enterprise Generative AI solutions using both commercial and open-source foundation models.
• Build and maintain AI agents, agent orchestration frameworks, and multi-agent systems to automate complex business processes.
• Develop Retrieval-Augmented Generation (RAG) architectures using enterprise knowledge repositories and structured and unstructured data sources.
• Create custom AI tools, hooks, skills, and integrations to extend agent capabilities and improve business outcomes.
• Build and maintain MCP (Model Context Protocol) servers and related infrastructure to integrate AI systems securely with enterprise applications and services.
• Develop AI-powered applications using Python, APIs, and cloud-native services.
• Monitor, optimize, and scale data workflows to improve performance and cost-efficiency.
• Develop best practices for data engineering, including documentation and governance.
• Partner with infrastructure and security teams to implement scalable, secure, and compliant AI solutions.
• Collaborate with stakeholders to identify, prioritize, and deliver high-impact AI use cases.
• Provide technical guidance on AI architecture, implementation patterns, and emerging industry capabilities.

What we’re looking for

• 5–8 years of experience in software engineering, cloud engineering, or AI engineering.
• 2+ years designing and deploying Generative AI or LLM-based solutions in enterprise environments.
• Strong Python skills and experience with modern software development practices.
• Experience building AI agents and AI-powered automation solutions.
• Experience developing custom AI tools, skills, functions, and integrations.
• Experience integrating AI solutions with enterprise APIs, databases, and SaaS platforms.
• Strong understanding of prompt engineering, context management, model evaluation, and AI application architecture.
• Knowledge of vector databases, semantic search, and document retrieval techniques.
• Strong understanding of AI security, governance, and data privacy practices.
• Exceptional analytical, troubleshooting, and problem-solving abilities.
• Excellent communication skills and experience working with both technical and non-technical stakeholders.

Education

Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.

Tools and technologies you may work with

• Python; LLMs
• Retrieval-Augmented Generation (RAG); vector databases; semantic search; document retrieval techniques
• Model Context Protocol (MCP); MCP servers
• Claude Code; Anthropic APIs
• Agentic development frameworks
• Azure AI Foundry; Azure OpenAI Service; Azure AI Search
• Cloud-native services; APIs; enterprise APIs; databases; SaaS platforms

Preferred experience

• Experience with Claude Code, Anthropic APIs, MCP servers, and agentic development frameworks.
• Experience with Azure AI Foundry, Azure OpenAI Service, Azure AI Search, and related Azure AI services.

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