Ss&c Technologies · San Francisco, CAPrepare for this interview
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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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