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Simpson Thacher & Bartlett LLP

Senior AI Engineer

Simpson Thacher & Bartlett LLP

. Design, develop, and deploy enterprise Generative AI solutions using commercial and open-source foundation models .

Posted 9/28/2026full-timeNew York City • New York • United StatesSenior💰 $175,000 - $200,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying Generative AI solutions, with a strong focus on Python programming, AI architecture, and integration with enterprise systems. Proven ability to collaborate with stakeholders to deliver impactful AI applications while ensuring compliance with security and governance standards.

Highest-signal resume keywords
Generative AI Solution DevelopmentPython ProgrammingAI Agent FrameworksAI Security and GovernanceCloud Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Generative AIAI Application ArchitecturePrompt EngineeringData Privacy PracticesCustom AI Tool DevelopmentIntegration with APIsData Workflow OptimizationDocument Retrieval TechniquesMCP Server ManagementAI-Powered Automation
Soft Skills
Analytical AbilitiesProblem-SolvingCommunication Skills
Tools & Technologies
Azure AI FoundryAzure OpenAI ServiceClaude CodeAnthropic APIsAgentic Development Frameworks
Industry Keywords
Enterprise AI SolutionsAI AgentsMulti-Agent SystemsRetrieval-Augmented GenerationCloud-Native Services

Tech Stack

Tools & technologies
AzureCloudPython

About the role

Key responsibilities & impact
  • 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/unstructured data sources
  • Design and develop custom AI tools, hooks, skills, and integrations to extend agent capabilities and improve business outcomes
  • Build and maintain MCP servers and related 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
  • Develop best practices for data engineering processes, 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
  • Partner with business stakeholders, software engineers, architects, and data teams to translate AI opportunities into production-ready solutions

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience in lieu of formal education
  • 5–8 years of experience in software engineering, cloud engineering, or AI engineering
  • 2+ years of experience 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 both technical and non-technical stakeholders
  • Legal IT experience is a plus but not required
  • Experience with Claude Code, Anthropic APIs, MCP servers, and agentic development frameworks preferred
  • Experience with Azure AI Foundry, Azure OpenAI Service, Azure AI Search, and related Azure AI services preferred
  • Must not require employer sponsorship for a work visa