Director, AI Platform Engineering

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world’s largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Job Description

Director, AI Platform Engineering

Locations: San Francisco, CA / Boston, MA / Waltham, MA / NY, NY Hybrid

Get To Know Us:

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, microse…