Platform Engineering Manager Jobs in Marblehead, MA

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.

Job Description

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:

• 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 01 platform through growth stages

Thank you for your interest in SS&C! If applicable, to further explore this opportunity, please apply directly with us through our Careers page on our corporate website: www.ssctech.com/careers.

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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.

Applications will be accepted on an ongoing basis until the position is filled.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.