Job Description

Director, AI Platform Engineering

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

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.

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 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.

SS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity.

Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location.

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.

In addition, 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 companys discretion.

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