Senior AI Engineer

Simpson Thacher & Bartlett; New York (NY); On-site; USD 175,000 - 200,000; Full time

Job summary

Simpson Thacher & Bartlett LLP is seeking a Senior AI Engineer to design, build, and operate enterprise-scale Generative AI solutions for the Infrastructure Automation & Orchestration team. You will work at the intersection of LLM-based application engineering and secure integration with enterprise systems in a hybrid New York, NY setting.

The role emphasizes RAG, agentic workflows, MCP frameworks, and secure cloud-native deployments, with a base salary range of $175,000 to $200,000 per

Qualifications

• 5–8 years in software or AI engineering.
• 2+ years deploying Generative AI in enterprise environments.
• Strong Python and modern software development practices.

Responsibilities

• 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 data sources.
• Create custom AI tools, hooks, skills, and integrations to extend agent capabilities.

Skills

Strong Python

AI engineering

Enterprise AI

Analytical thinking

Communication skills

Education

Bachelor’s degree

Tools

Claude Code

Anthropic APIs

MCP servers

Azure AI Foundry

Azure OpenAI Service

Azure AI Search

Vector databases

Semantic search

Document retrieval

Job description

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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