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SS&C Technologies

Senior AI Platform Engineer

SS&C Technologies, San Francisco, California, United States, 94199

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Overview

As a leading financial services and healthcare technology company based on revenue, SS&C Advent is headquartered in Windsor, Connecticut, and has 27,000 employees in 35 countries. Some 20,000 financial services and healthcare organizations rely on SS&C for expertise, scale, and technology. Role

Senior AI Platform Engineer Location: San Francisco, CA – Hybrid Get To Know the Team

SS&C Advent’s financial solutions are going

Agentic ! We are growing the team to enable digital transformation, with best-of-breed products spanning the investment firm’s front-to-back office and our cloud-native Genesis Platform used by clients globally. 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 integrates with our big data infrastructure and enables scalable, intelligent, and autonomous data-driven systems. 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.). How to Apply

Thank you for your interest in SS&C! To further explore this opportunity, please apply through our careers page on the corporate website at https://www.ssctech.com/careers/join-ssc Privacy notice for job applicants: https://www.ssctech.com/hubfs/website/pdf/Privacy-Notice-for-CA-Job-Applicants.pdf Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, SS&C will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. SS&C offers excellent benefits including health, dental, 401k plan, tuition and professional development reimbursement plan. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws. Salary is determined by various factors including, but not limited to, relevant work experience, job related knowledge, skills, abilities, business needs, and geographic regions. California: Salary range for the position: 150,000 USD to 170,000 USD.

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