Senior AI Platform Engineer
SS&C•San Francisco, CA
•Hybrid
About The Position
SS&C Advent is building a next-generation Agentic AI Framework on its enterprise big data platform, integrating Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, machine learning, and advanced orchestration. Senior AI Platform Engineers will join the R&D team to design and implement the core AI framework, integrate it with big data infrastructure, and enable scalable, intelligent, and autonomous data-driven systems. The position is hybrid and is available in San Francisco, California; Jacksonville, Florida; Boston, Massachusetts; or New York, New York.
Requirements
- Bachelor’s degree in a computer science- or engineering-related field.
- Strong Python programming skills and at least 5 years of experience.
- Proven experience with data engineering or distributed systems, such as Spark, Hive, Trino, StarRocks, DBT, Airflow, or Kubernetes.
- Deep understanding of LLM-based systems and agent frameworks, such as LangChain, LlamaIndex, DSPy, OpenAI MCP, or A2A.
- Hands-on experience with API design and integration, including REST, GraphQL, or gRPC.
- Knowledge of cloud infrastructure and container orchestration, including Kubernetes and Docker.
- Strong understanding of IAM, security, and multi-tenancy in enterprise systems.
- Track record of building production-grade AI or data platforms.
Nice To Haves
- Experience in information security.
- Experience with vector databases, such as pgvector, Pinecone, Weaviate, Milvus, or Vespa.
- Familiarity with event-driven architectures, such as Kafka or Pulsar.
- Understanding of retrieval-augmented generation (RAG) patterns.
- Background in authorization or identity systems, including ReBAC, RBAC, or Zanzibar-style systems.
- Familiarity with observability tools, including OpenTelemetry, DataHub, MLflow, or Prometheus.
- Experience in enterprise AI governance, including audit, lineage, or compliance.
- Contributions to open-source AI frameworks, such as LangChain, OpenAI MCP, or Hugging Face.
Responsibilities
- Design and build a scalable Agentic AI framework on top of the data platform.
- Implement MCP- and A2A-based architectures for agent collaboration and orchestration.
- Integrate AI services with data pipelines, including Airflow, Spark, Trino, StarRocks, and DBT.
- Build APIs, SDKs, and tooling that 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.
Benefits
- 401(k) 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
- Hands-on, team-customized training, including SS&C University
- Discounts on fitness clubs and travel
- May be eligible for discretionary annual bonus and/or equity awards, such as restricted stock units or stock options, based on individual and business performance at the company’s discretion
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What This Job Offers
Job Type
Full-time
Career Level
Senior
