Senior AI Developer

Kilpatrick Townsend & Stockton LLP is a premier Am Law 100 multinational law firm with 22 offices worldwide, known for its intellectual property, corporate litigation, and technology practices. The firm's AI Innovation team builds and ships production AI systems that serve hundreds of users across the firm and is expanding to a client-facing portal. We work with the latest platforms from Anthropic and Microsoft, run agentic workflows in production, and maintain a growing network of Model Context Protocol (MCP) integrations that connect AI agents to enterprise systems. This is a small team with startup‑like autonomy inside a global enterprise. At Kilpatrick we are one team where each person plays an integral role in serving the needs of our clients. The firm has a strong dedication to its employees, values, and commitment to the community. We are looking for a Senior AI Developer, fully remote, to help shape the future of AI at the firm. This is an individual contributor role with significant technical ownership. You will design and deploy agentic AI systems, scale our internal platforms, extend our MCP infrastructure, and help define the technical roadmap for AI adoption. Our AI systems are in production today, serving the firm at scale. We are looking for someone who is ready to contribute immediately to an active, fast-moving development environment. Your First 6 To 12 Months Will Focus On Scaling document intelligence and RAG pipelines to handle millions of enterprise documents with high retrieval accuracy. Expanding agentic workflows and AI skills that automate complex, multi-step legal and operational tasks. Strengthening the MCP integration layer with new tool connections, improved security, and increased reliability. What You Will Do Help define the technical roadmap for AI adoption, contributing to build‑vs‑buy decisions, vendor evaluations, and architectural direction. Architect multi‑agent systems and agentic workflows using tool use, function calling, planner‑executor pipelines, agent swarms, and autonomous task decomposition. Build and maintain AI skills: self‑contained automation workflows that run in their own execution context with quality assurance verification. Design context management strategies including RAG, semantic search, vector embedding pipelines, conversation compaction, long‑term memory management, and grounding. Extend our MCP server network with new tool integrations, dynamic server discovery, gateway architectures, OAuth 2.1 authentication flows, audit logging, and sandboxed execution. Build real‑time streaming interfaces that surface AI‑generated insights, citations, and structured outputs. Engineer solutions for large‑scale data challenges across millions of documents, patent databases, and enterprise systems. Implement guardrails, evaluation pipelines, and data governance standards appropriate for a regulated legal environment. Evaluate and integrate new models, APIs, and capabilities as they ship from Anthropic, Microsoft, and other providers. Act as an internal AI consultant: gather requirements from attorneys and legal staff, translate business needs into technical solutions, and deliver AI‑powered workflow systems that streamline legal and operational processes. Our Stack Anthropic (Claude, Agent SDK, MCP) | Azure OpenAI | Azure AI Foundry | Semantic Kernel | Azure AI Search | Azure Document Intelligence | C# / .NET | React / TypeScript | Node.js | SQL Server | SignalR | SSE Streaming Required Qualifications Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field preferred. Proven experience in AI architecture, agent‑based systems, or intelligent automation, with a minimum of 5 years in a similar role. Demonstrated experience building agentic AI systems with tool use, function calling, and multi‑step workflow execution in production. Strong working knowledge of the Anthropic platform (Claude models, Messages API, streaming, extended thinking, Claude Agent SDK). Experience with Microsoft AI services (Azure OpenAI, Azure AI Foundry, Semantic Kernel, or related offerings). Experience with MCP or similar AI‑to‑tool integration frameworks (LangChain, LlamaIndex, CrewAI, custom pipelines, or equivalent). Experience building RAG pipelines, semantic search, and document intelligence workflows at scale. Proficiency with real‑time streaming architectures (SSE, WebSockets, Streamable and enterprise auth (OAuth 2.0/2.1, Azure AD/Entra ID). Ability to work across the stack: backend APIs, streaming infrastructure, frontend interfaces. Proficiency with AI‑native development platforms (Claude Code, GitHub Copilot, Cursor, or similar) over expertise in any single language. Track record of independently solving complex, ambiguous problems and shipping working solutions. Experience with the professional services industry is a plus. Preferred Qualifications Understanding of ML fundamentals: fine‑tuning (LoRA, QLoRA, PEFT), evaluation metrics, NLP tasks, and MLOps/LLMOps practices. Familiarity with ML frameworks (PyTorch, Hugging Face Transformers, scikit‑learn). Experience with large‑scale data processing: millions of documents, vector embedding pipelines, enterprise databases. Knowledge of large law firm operations, IP workflows, or enterprise document management systems (iManage, NetDocuments). What Success Looks Like In your first year, you will have: Expanded the reach of our AI platforms across users, use cases, and connected enterprise systems. Shipped production agentic workflows that complete complex tasks with minimal human intervention. Improved retrieval accuracy and reduced hallucination rates in RAG pipelines over large document corpora. Built new MCP integrations that connect AI agents to previously inaccessible enterprise data. Contributed evaluation pipelines, monitoring, and guardrails that increase confidence in shipping faster. Why KT Production AI at scale. Our AI platforms are in daily use across the firm, with a clear roadmap for continued expansion. Modern technology stack. Work with the latest platforms from Anthropic and Microsoft, including production MCP integrations and agentic workflows. Autonomy and ownership. Significant influence over technical decisions, architecture, and the direction of AI at the firm. Global reach. Serve attorneys and professionals across 22 offices worldwide and a client‑facing AI portal. Competitive compensation and comprehensive benefits commensurate with the market for senior AI talent. This is a full‑time, regular position with a multi‑faceted health benefit package including medical, dental, and vision. The firm also offers life insurance, short‑term disability plans, and retirement plans in addition to holidays and paid time off. The firm offers hybrid work schedules combining in‑office work days as well as remote work days. The pay range for this position in California only is $180,000 to $250,000 annually. Selected applicants will be contacted. Kilpatrick is an Equal Opportunity Employer. Kilpatrick Townsend & Stockton LLP is committed to equal employment opportunity for all persons, regardless of race, color, religion, sex or gender, national origin, age, veteran status, disability, sexual orientation, gender identity, or any other basis prohibited by applicable law. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities #J-18808-Ljbffr