Senior AI Platform Engineer

Requirements

• 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.).
• Thank you for your interest in SS&C! If applicable, to further explore this opportunity, please apply directly with us through our Careers page on our corporate website: www.ssctech.com/careers .
• #LI-MB3
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• Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
• Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location.
• California: The expected base salary for the position is between 140,000 USD to 180,000 USD. Other States expected base salary for the position is between 140000 USD to 180000 USD. Massachusetts: The expected base salary for the position is between 140000 USD to

Benefits

Additional Information

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. Job Description 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 .

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