Hybrid Staff AI Platform Engineer

at SS&C Technologies

• Job title: Staff AI Platform Engineer
• Job type: Full Time
• Experience level: Lead
• Salary: $150,000 - $180,000 per year
• Degree requirement: No Education Requirement
• Tech skills: Airflow, Cloud, Distributed Systems, Docker, GraphQL, GRPC, Kafka, Kubernetes, Prometheus, Pulsar, Python, Spark
• Location requirements: Hybrid, United States

About the role

• Senior AI Platform Engineer designing and implementing AI infrastructures at leading financial services company. Utilizing big data platforms and mentoring engineers in AI best practices.

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 .
• 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.).

Benefits

• 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!