Director, AI Platform Engineering

SS&C•San Francisco, CA

9h•Hybrid

About The Position

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.

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)

Nice To Haves

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

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