Director, AI Platform Engineering

SS&C is a leading financial services and healthcare technology company headquartered in Windsor, Connecticut, with 27,000+ employees across 35 countries. Our solutions serve 20,000 financial services and healthcare organizations globally, from large enterprises to small and mid-market firms.

About the role

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. As Director of AI Platform Engineering, you will 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 enabling the organization to build, deploy, and operate AI agent workflows at scale across investment management, data analytics, and operational domains.

Responsibilities

• 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.
• Foster a culture of technical excellence, ownership, continuous learning, prototyping, and delivery.
• Drive 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.

Requirements

• 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 of 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.

Benefits

• Hybrid work model and business casual dress code.
• 401k matching program and professional development reimbursement.
• Flexible personal/vacation time off, sick leave, and paid holidays.
• Medical, dental, vision, employee assistance program, and parental leave.
• Discounts on fitness clubs, travel, and more.
• Hands-on, team-customized training, including SS&C University.

Pay

Actual base salary will vary based on relevant skills, prior experience, education, demonstrated performance, and geographic location.

• New York: $200,000 – $230,000 USD
• California: $200,000 – $230,000 USD
• Massachusetts: $200,000 – $230,000 USD
• Other States: $200,000 – $230,000 USD

Employees in this role may also be eligible for an annual discretionary bonus and/or equity awards, such as restricted stock units or stock options, based on individual and business performance.

Schedule

Hybrid