Director, AI Platform Engineering at SS&C Technologies | Boston, MA, US | Rezi

Director, AI Platform Engineering at SS&C Technologies

Director, AI Platform Engineering

SS&C Technologies · Boston, MA, US

3 weeks ago

Director, AI Platform Engineering

SS&C Technologies · Boston, MA, US

24 days ago
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About the Role

SS&C is seeking a Director of AI Platform Engineering to lead the design, development, and scaling of their 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. The Director will lead a team of platform engineers, architect critical infrastructure, and drive the strategy for multi-agent orchestration, LLM integration, observability, and developer experience.

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
  • 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

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 0→1 platform through growth stages

Skills

  • AI Platform Engineering
  • Multi-agent orchestration
  • LLM integration
  • Observability
  • Developer experience
  • LangGraph
  • MCP protocol
  • AG-UI protocol
  • LLM APIs
  • Prompt engineering
  • Distributed systems
  • Microservices
  • Event-driven architecture
  • Kubernetes
  • Docker
  • Terraform
  • Python
  • FastAPI
  • Async patterns
  • Real-time streaming protocols
  • SSE
  • WebSocket
  • Data mesh
  • GraphQL
  • dbt
  • Data catalogs
  • Module Federation
  • Micro-frontend architectures

Location

  • San Francisco, CA
  • Boston, MA
  • Waltham, MA
  • NY, NY

Work Type

  • Hybrid

Experience Level

  • Director
  • 10+ years in software engineering
  • 5+ years in engineering leadership and management roles

Salary/Compensations

  • New York: 200000 USD to 230000 USD
  • California: 200000 USD to 230000 USD
  • Other States: 200000 USD to 230000 USD
  • Massachusetts: 200000 USD to 230000 USD

Benefits

  • 401k Matching Program
  • Professional Development Reimbursement
  • Flexible Personal/Vacation Time Off
  • Sick Leave
  • Paid Holidays
  • Medical
  • Dental
  • Vision
  • Employee Assistance Program
  • Parental Leave
  • Discounts on fitness clubs, travel and more
  • Discretionary bonus
  • Equity awards (restricted stock units or stock options)

About the Company

  • SS&C is a leading financial services and healthcare technology company headquartered in Windsor, Connecticut, with 27,000+ employees in 35 countries.
  • SS&C Advent's financial solutions are going Agentic! 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.

Equal Opportunity

  • 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.