Senior AI Platform Engineer
Role details
Job location
Tech stack
Job description
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., * 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
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.).
Benefits & conditions
SS&C Technologies, Inc. parental leave, paid time off, paid holidays, sick time, 401(k), stock options United States, Massachusetts, Boston Apr 28, 2026, * 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!, 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. SS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity. 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 150,000 USD to 180,000 USD. Other States expected base salary for the position is between 150000 USD to 175000 USD. Massachusetts: The expected base salary for the position is between 150000 USD to 180000 USD. In addition, employees in this role may be eligible for consideration on an annual basis for a discretionary bonus and/or equity awards, such as restricted stock units or stock options, based upon individual and business performance at the company's discretion.