Advent Software, Inc. · San Francisco, CA

Director, AI Platform Engineering at Advent Software, Inc. — San Francisco, CA

Full-timeSan Francisco, CAPosted 2026-08-05Apply on Workday
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Full job description

Job Description

Director, AI Platform Engineering

Locations: San Francisco, CA / Boston, MA / Waltham, MA / NY, NY | Hybrid

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:

## Platform Strategy & Architecture

  • 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

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 0→1 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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New York: The expected base salary for the position is between 200000 USD to 230000 USD. California: The expected base salary for the position is between 200000 USD to 230000 USD. Other States expected base salary for the position is between 200000 USD to 230000 USD. Massachusetts: The expected base salary for the position is between 200000 USD to 230000 USD.

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