Director, AI Platform Engineering
hace 17 horas
New York
Locations: San Francisco, CA / Boston, MA / Waltham, MA / NY, NY | Hybrid SS&C Advent's financial solutions are going Agentic! And we're growing the team to get us there. Our best-of-breed products that span the investment firm's front-to-back office will be part of the journey to digital transformation, which started with our cloud-native, award-winning Genesis Platform used by clients around the globe. We are building a next-generation Agentic AI Framework that integrates Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, Machine Learning, and advanced orchestration on top of our enterprise big data platform. We are seeking a Director of AI Platform Engineering to lead the design, development, and scaling of our enterprise AI agent platform. This role owns the technical vision and execution for a production-grade, multi-tenant platform that enables the organization to build, deploy, and operate AI agent workflows at scale across investment management, data analytics, and operational domains. You will lead a team of platform engineers, architect critical infrastructure, and drive the strategy for multi-agent orchestration, LLM integration, observability, and developer experience. Why You Will Love It Here! • Flexibility: Hybrid Work Model and Business Casual Dress Code, including jeans, • Your Future: 401k Matching Program, Professional Development Reimbursement, • Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays, • Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave, • Wide Ranging Perspectives: Committed to Celebrating the Variety of Backgrounds, Talents and Experiences of Our Employees, • Training: Hands-On, Team-Customized, including SS&C University, • Extra Perks: Discounts on fitness clubs, travel and more! What You Will Get To Do: • Define and execute the technical roadmap for the AI agent platform (multi-agent orchestration, LLM routing, tool integration, observability), • Architect for enterprise-grade multi-tenancy, security, and scalability, • Drive platform standardization across agent frameworks (LangGraph, MCP protocol, AG-UI protocol), • Evaluate and integrate emerging AI technologies (new LLM providers, inference optimization, agentic frameworks), • Build, lead, and mentor a team of 8-15 platform engineers (backend, infrastructure, AI/ML), • Establish engineering best practices: code review, testing, CI/CD, documentation, • Create a culture of technical excellence, ownership, continuous learning, prototyping and delivering, • Foster cross-functional collaboration with product, data science, and business stakeholders, • Own platform reliability, availability, and performance SLAs, • Drive production readiness: observability, alerting, incident response, capacity planning, • Deliver iterative platform capabilities through discovery-driven development processes, • Manage dependencies across multiple consuming teams and agent developers, • Lead architectural decisions using structured frameworks (DACI, ADR etc), • Evaluate build vs. buy vs. integrate trade-offs for platform components, • Champion developer experience: APIs, SDKs, documentation, self-service tooling, • Ensure AI agent platform security, compliance, and audit requirements What You Will Bring: • 10+ years in software engineering, with 5+ years in engineering leadership and management roles (managing managers or large teams), • Deep experience building and operating production platforms (API platforms, data platforms, or ML platforms), • Experience with multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen), • Strong knowledge with Model Context Protocol (MCP) or similar tool-integration standards, • Hands-on expertise with modern AI/ML ecosystem: LLM APIs (OpenAI, Anthropic, AWS Bedrock), agent frameworks, prompt engineering, • Strong systems design: distributed systems, microservices, event-driven architecture, • Production cloud native infrastructure at scale (Kubernetes, Docker, Terraform), • Python as primary backend language (FastAPI, async patterns), • Proven track record of shipping platform products used by multiple internal or external teams, • Experience leading technical strategy at the organizational level (not just team-level) Nice-to-Have Qualifications: • Background in financial services or regulated industries (compliance, audit trails, data governance), • Experience with real-time streaming protocols (SSE, WebSocket, AG-UI), • Knowledge of data mesh / data platform architectures (GraphQL, dbt, data catalogs), • Exposure to Module Federation / micro-frontend architectures, • Open source contributions or community leadership in AI/ML space, • Experience scaling from 0?1 platform through growth stages