Jobs · Engineering · Massachusetts

Senior AI Platform Engineer

SS&C Technologies · Boston, MA · 3 wk ago
EngineeringFull-time

About the role

SS&C Advent is a leading financial services and healthcare technology company headquartered in Windsor, Connecticut, with 27,000+ employees worldwide. The company provides expertise, scale, and technology to over 20,000 financial services and healthcare organizations globally.

Responsibilities

  • 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.

Requirements

  • 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.

Qualifications

  • Core Skills (Must-Have)
  • Desired Skills (Nice-to-Have)

Skills

  • Experience in Information Security.
  • Familiarity 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.).

Benefits

  • Medical, Dental, Vision coverage.
  • 401(k) plan with company match.
  • Paid time off, holidays, and parental leave.
  • Professional development reimbursement opportunity.

Pay

The expected base salary for the position is between $140,000 to $180,000 USD.

Schedule

Hybrid work model and business casual dress code.

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