Director, AI Platform Engineering

Job Summary

SS&C Advent is 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.

About the Role

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.

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)
• Team Leadership
• Build, lead, and mentor a team of 8-15 platform engineers (backend, infrastructure, AI/ML)
• 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
• 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)

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

Benefits

The expected base salary for the position is between $200,000 to $230,000 USD, depending on location. Employees in this role may be eligible for consideration on an annual basis for a discretionary bonus and/or equity awards, such as restricted stock units or stock options, based upon individual and business performance at the company’s discretion.