Director, AI Platform Engineering

• Define and execute the technical roadmap for the AI agent platform, including multi-agent orchestration, LLM routing, tool integration, and observability
• Architect enterprise-grade multi-tenancy, security, and scalability
• Drive platform standardization across LangGraph, MCP, and AG-UI protocols
• Evaluate and integrate emerging AI technologies, LLM providers, inference optimizations, and agentic frameworks
• Build, lead, and mentor a team of 8–15 platform engineers
• Establish engineering best practices including code review, testing, CI/CD, and documentation
• Foster technical excellence, ownership, continuous learning, prototyping, and delivery
• Collaborate with product, data science, and business stakeholders
• Own platform reliability, availability, performance SLAs, observability, alerting, incident response, and capacity planning
• Deliver iterative platform capabilities through discovery-driven development
• Manage dependencies across consuming teams and agent developers
• Lead architectural decisions using structured frameworks such as DACI and ADR
• Evaluate build-versus-buy-versus-integrate trade-offs
• Champion developer experience through APIs, SDKs, documentation, and self-service tooling
• Ensure AI agent platform security, compliance, and audit requirements

Requirements

• 10+ years in software engineering
• 5+ years in engineering leadership and management roles, managing managers or large teams
• Deep experience building and operating production platforms, such as API, data, or ML platforms
• Experience with multi-agent orchestration frameworks including LangGraph, CrewAI, and AutoGen
• Strong knowledge of Model Context Protocol (MCP) or similar tool-integration standards
• Hands-on expertise with LLM APIs including OpenAI, Anthropic, and AWS Bedrock
• Experience with agent frameworks and prompt engineering
• Strong systems design knowledge, including distributed systems, microservices, and event-driven architecture
• Production cloud-native infrastructure experience at scale with Kubernetes, Docker, and Terraform
• Python as primary backend language, including FastAPI and asynchronous patterns
• Proven track record shipping platform products used by multiple internal or external teams
• Experience leading technical strategy at the organizational level
• Financial services or regulated-industry background preferred
• Experience with SSE, WebSocket, or AG-UI preferred
• Knowledge of data mesh/data platform architectures, GraphQL, dbt, or data catalogs preferred
• Exposure to Module Federation or micro-frontend architectures preferred
• Open-source contributions or AI/ML community leadership preferred
• Experience scaling a platform from 0 to 1 through growth stages preferred

Core Competencies

Demonstrates expertise in architecting and executing AI agent platforms with a focus on multi-agent orchestration, security, and scalability. Proven ability to lead engineering teams, establish best practices, and drive platform reliability and performance.

Highest-signal resume keywords

• 10+ Years In Software Engineering
• 5+ Years In Engineering Leadership
• Experience With Multi-Agent Orchestration Frameworks
• Hands-On Expertise With LLM APIs
• Production Cloud-Native Infrastructure Experience

ATS Optimization Keywords

Hard Skills

• Python
• FastAPI
• Kubernetes
• Docker
• Terraform
• Multi-Agent Orchestration
• Systems Design
• Distributed Systems
• Microservices
• Event-Driven Architecture

Soft Skills

• Team Leadership
• Mentoring
• Collaboration
• Continuous Learning
• Technical Excellence

Industry Keywords

• Financial Services
• Regulated Industry
• Platform Reliability
• Compliance
• Audit Requirements

Tools & Technologies

• LangGraph
• CrewAI
• OpenAI
• Anthropic
• AWS Bedrock
• SSE
• WebSocket
• AG-UI
• GraphQL
• Dbt