SS&C Advent's financial solutions are going Agentic, and they are growing the team to get there. They 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 their enterprise big data platform.
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.
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.
Other
- Hybrid Work Model
- Business Casual Dress Code, including jeans
- 401 (k) Matching Program
- Professional Development Reimbursement
- Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays
