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Senior AI Platform Engineer Job Opening In San Francisco – Now Hiring SS&C Technologies Holdings


Job description

Job Description

Senior AI Platform Engineer

Location: San Francisco, CA - Hybrid

Get To Know the Team

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 looking for Senior AI Platform Engineers to join our R&D team.

These engineers will design and implement the core AI framework, ensuring it seamlessly integrates with our big data infrastructure, and enabling scalable, intelligent, and autonomous data-driven systems.

Why You Will Love It Here!

  • Flexibility: Hybrid Work Model & a Business Casual Dress Code, including jeans
  • Your Future: 401 (k) 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

  • Design and build a scalable Agentic AI framework on top of our data platform.
  • Implement MCP- and A2A-based architectures for agent collaboration and orchestration.
  • Integrate AI services with data pipelines (Airflow, Spark, Trino, StarRocks, DBT).
  • Build APIs, SDKs, and tooling to enable other teams to use the framework.
  • Work with platform and application teams to ensure secure, reliable, and multi-tenant deployment of AI agents.
  • Evaluate new agentic AI, LLM, and orchestration technologies and recommend adoption.
  • Mentor other engineers and contribute to AI engineering best practices.

What You Will Bring

Core Skills (Must-Have)

  • Strong programming skills in Python with 5+ years of experience
  • Proven experience with data engineering or distributed systems (Spark, Hive, Trino, StarRocks, DBT, Airflow, Kubernetes).
  • Deep understanding of LLM-based systems and agent frameworks (LangChain, LlamaIndex, DSPy, OpenAI MCP, A2A).
  • Hands-on experience with API design & integration (REST, GraphQL, gRPC).
  • Knowledge of cloud infrastructure & container orchestration (Kubernetes, Docker).
  • Strong understanding of IAM, security, and multi-tenancy in enterprise systems.
  • Track record of building production-grade AI/data platforms.

Desired Skills (Nice-to-Have)

  • Experience in Information Security.
  • Experience with vector databases (pgvector, Pinecone, Weaviate, Milvus, Vespa).
  • Familiarity with event-driven architectures (Kafka, Pulsar).
  • Understanding of retrieval-augmented generation (RAG) patterns.
  • Background in authorization/identity systems (ReBAC, RBAC, Zanzibar-style).
  • Familiarity with observability (OpenTelemetry, DataHub, MLflow, Prometheus).
  • Experience in enterprise AI governance (audit, lineage, compliance).
  • Contributions to open-source AI frameworks (LangChain, OpenAI MCP, Hugging Face, etc.).

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Senior AI Potential: Insight & Career Growth Guide


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