Director, AI Platform Engineering
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Role details
Tech stack
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Job description
- 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
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 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), * 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 01 platform through growth stages
Benefits & conditions
parental leave, paid time off, paid holidays, sick time, 401(k), * 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!
About the company
SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 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., 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., Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. SS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity.
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