Platform engineer • oakland ca
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The average salary range is between $ 120,000 and $ 179,000 year , with the average salary hovering around $ 136,000 year .
The average salary range is between $ 112,845 and $ 185,188 year , with the average salary hovering around $ 139,741 year .
Senior AI Platform Engineer
Locations: San Francisco, CA / Jacksonville, FL / Boston, MA / New York, NY (Hybrid)
Get To Know Us:
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.).
