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SS&C Technologies

Director, AI Platform Engineering

SS&C Technologies

Director leading SS&C’s enterprise AI agent platform for financial services and healthcare technology. Owning multi-agent orchestration, cloud infrastructure, reliability, and engineering strategy.

Posted 8/5/2026full-timeSan Francisco • California, Massachusetts, New York • 🇺🇸 United StatesLead💰 $200,000 - $230,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and executing AI agent platforms with a focus on multi-agent orchestration, security, and scalability. Proven ability to lead engineering teams, establish best practices, and drive platform reliability and performance.

Highest-signal resume keywords
10+ Years In Software Engineering5+ Years In Engineering LeadershipExperience With Multi-Agent Orchestration FrameworksHands-On Expertise With LLM APIsProduction Cloud-Native Infrastructure Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonFastAPIKubernetesDockerTerraformMulti-Agent OrchestrationSystems DesignDistributed SystemsMicroservicesEvent-Driven Architecture
Soft Skills
Team LeadershipMentoringCollaborationContinuous LearningTechnical Excellence
Tools & Technologies
LangGraphCrewAIOpenAIAnthropicAWS BedrockSSEWebSocketAG-UIGraphQLDbt
Industry Keywords
Financial ServicesRegulated IndustryPlatform ReliabilityComplianceAudit Requirements

Tech Stack

Tools & technologies
AWSCloudDistributed SystemsDockerGraphQLKubernetesMicroservicesPythonTerraform

About the role

Key responsibilities & impact
  • Define and execute the technical roadmap for the AI agent platform, including multi-agent orchestration, LLM routing, tool integration, and observability
  • Architect enterprise-grade multi-tenancy, security, and scalability
  • Drive platform standardization across LangGraph, MCP, and AG-UI protocols
  • Evaluate and integrate emerging AI technologies, LLM providers, inference optimizations, and agentic frameworks
  • Build, lead, and mentor a team of 8–15 platform engineers
  • Establish engineering best practices including code review, testing, CI/CD, and documentation
  • Foster technical excellence, ownership, continuous learning, prototyping, and delivery
  • Collaborate with product, data science, and business stakeholders
  • Own platform reliability, availability, performance SLAs, observability, alerting, incident response, and capacity planning
  • Deliver iterative platform capabilities through discovery-driven development
  • Manage dependencies across consuming teams and agent developers
  • Lead architectural decisions using structured frameworks such as DACI and ADR
  • Evaluate build-versus-buy-versus-integrate trade-offs
  • Champion developer experience through APIs, SDKs, documentation, and self-service tooling
  • Ensure AI agent platform security, compliance, and audit requirements

Requirements

What you’ll need
  • 10+ years in software engineering
  • 5+ years in engineering leadership and management roles, managing managers or large teams
  • Deep experience building and operating production platforms, such as API, data, or ML platforms
  • Experience with multi-agent orchestration frameworks including LangGraph, CrewAI, and AutoGen
  • Strong knowledge of Model Context Protocol (MCP) or similar tool-integration standards
  • Hands-on expertise with LLM APIs including OpenAI, Anthropic, and AWS Bedrock
  • Experience with agent frameworks and prompt engineering
  • Strong systems design knowledge, including distributed systems, microservices, and event-driven architecture
  • Production cloud-native infrastructure experience at scale with Kubernetes, Docker, and Terraform
  • Python as primary backend language, including FastAPI and asynchronous patterns
  • Proven track record shipping platform products used by multiple internal or external teams
  • Experience leading technical strategy at the organizational level
  • Financial services or regulated-industry background preferred
  • Experience with SSE, WebSocket, or AG-UI preferred
  • Knowledge of data mesh/data platform architectures, GraphQL, dbt, or data catalogs preferred
  • Exposure to Module Federation or micro-frontend architectures preferred
  • Open-source contributions or AI/ML community leadership preferred
  • Experience scaling a platform from 0 to 1 through growth stages preferred

Benefits

Comp & perks
  • Hybrid Work Model
  • Business casual dress code, including jeans
  • 401k Matching Program
  • Professional Development Reimbursement
  • Flexible Personal/Vacation Time Off
  • Sick Leave
  • Paid Holidays
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Employee Assistance Program
  • Parental Leave
  • Celebrating the variety of backgrounds, talents and experiences of employees
  • Hands-on, team-customized training, including SS&C University
  • Discounts on fitness clubs, travel and more
  • Eligibility for an annual discretionary bonus
  • Eligibility for equity awards, such as restricted stock units or stock options