Senior AI Engineer

Simpson Thacher & Bartlett is hiring a Senior AI Engineer for the Infrastructure Automation & Orchestration team to design, build, and operationalize enterprise-scale Generative AI systems.

Responsibilities

• Design, develop, and deploy enterprise Generative AI solutions using commercial and open-source foundation models
• Build and maintain AI agents, agent orchestration frameworks, and multi-agent systems to automate complex business processes
• Develop and implement 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 Model Context Protocol (MCP) servers and supporting infrastructure to securely integrate AI systems 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
• Establish best practices for data engineering processes, documentation, and governance
• Partner with infrastructure and security teams to deliver 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

Requirements

• 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 experience with Python and modern software development practices
• Experience building AI agents/frameworks 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 technical and non-technical stakeholders

Technologies

• Python
• LLMs
• Retrieval-Augmented Generation (RAG)
• Vector databases
• Semantic search
• Document retrieval techniques
• Model Context Protocol (MCP)
• Claude Code
• Anthropic APIs
• MCP servers
• Agentic development frameworks
• Azure AI Foundry
• Azure OpenAI Service
• Azure AI Search
• Cloud-native services
• APIs
• Enterprise APIs
• Databases
• SaaS platforms

Preferred

• 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

Location

• New York, NY (hybrid)

Compensation

• USD 175,000 - 200,000 per year (estimated base salary range at time of posting)
• Exempt role (not overtime pay eligible)
• Simpson Thacher will not sponsor applicants for work visas for this position

Education

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

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