Director, AI Platform Engineering

About the Role

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

• Platform Strategy & Architecture: 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)
• Team Leadership: 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
• Delivery & Operations: 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
• Technical Decision Making: 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

Pay

New York: The expected base salary for the position is between 200000 USD to 230000 USD. California: The expected base salary for the position is between 200000 USD to 230000 USD. Other States expected base salary for the position is between 200000 USD to 230000 USD. Massachusetts: The expected base salary for the position is between 200000 USD to 230000 USD. In addition, employees in this role may be eligible for consideration on an annual basis for a discretionary bonus and/or equity awards, such as restricted stock units or stock options, based upon individual and business performance at the company's discretion.