{"id":2044233,"url":"https://alion.io/job/ssc-technologies-senior-ai-platform-engineer","title":"Senior AI Platform Engineer","company":{"id":6013,"name":"SS&C Technologies","domain":"ssctech.com","url":"https://alion.io/company/ssctech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":7,"ghost_share":0,"stale_share":0,"repost_share":0.286,"time_to_fill_p50_days":16,"computed_at":"2026-10-09T06:01:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"Docker","optional":false},{"name":"DSPy","optional":false},{"name":"GraphQL","optional":false},{"name":"gRPC","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Spark","optional":false},{"name":"StarRocks","optional":false},{"name":"Trino","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Hugging Face","optional":true},{"name":"Milvus","optional":true},{"name":"MLFlow","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"pgvector","optional":true},{"name":"Pinecone","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prometheus","optional":true},{"name":"RAG","optional":true},{"name":"Vespa","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-10-07T19:02:15Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-09T21:06:06Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 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.\nJob Description\nSenior AI Platform Engineer\nLocations: San Francisco, CA / Jacksonville, FL / Boston, MA / New York, NY (Hybrid)\nGet To Know Us:\nSS&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.\nWe 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.\nWe 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.\nWhy You Will Love It Here! \nFlexibility: Hybrid Work Model & a Business Casual Dress Code, including jeans\n Your Future: 401 (k) Matching Program, Professional Development Reimbursement\nWork/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays\nYour Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave\nWide Ranging Perspectives: Committed to Celebrating the Variety of Backgrounds, Talents, and Experiences of Our Employees\nTraining: Hands-On, Team-Customized, including SS&C University\nExtra Perks: Discounts on fitness clubs, travel, and more!\nWhat You Will Get to Do\nDesign and build a scalable Agentic AI framework on top of our data platform.\nImplement MCP- and A2A-based architectures for agent collaboration and orchestration.\nIntegrate AI services with data pipelines (Airflow, Spark, Trino, StarRocks, DBT).\nBuild APIs, SDKs, and tooling to enable other teams to use the framework.\nWork with platform and application teams to ensure secure, reliable, and multi-tenant deployment of AI agents.\nEvaluate new agentic AI, LLM, and orchestration technologies and recommend adoption.\nMentor other engineers and contribute to AI engineering best practices.\nWhat You Will Bring\nCore Skills (Must-Have)\nComputer Science/Engineer related Bachelor’s degree\nStrong programming skills in Python with 5+ years of experience\nProven experience with data engineering or distributed systems (Spark, Hive, Trino, StarRocks, DBT, Airflow, Kubernetes).\nDeep understanding of LLM-based systems and agent frameworks (LangChain, LlamaIndex, DSPy, OpenAI MCP, A2A).\nHands-on experience with API design & integration (REST, GraphQL, gRPC).\nKnowledge of cloud infrastructure & container orchestration (Kubernetes, Docker).\nStrong understanding of IAM, security, and multi-tenancy in enterprise systems.\nTrack record of building production-grade AI/data platforms.\nDesired Skills (Nice-to-Have)\nExperience in Information Security.\nExperience with vector databases (pgvector, Pinecone, Weaviate, Milvus, Vespa).\nFamiliarity with event-driven architectures (Kafka, Pulsar).\nUnderstanding of retrieval-augmented generation (RAG) patterns.\nBackground in authorization/identity systems (ReBAC, RBAC, Zanzibar-style).\nFamiliarity with observability (OpenTelemetry, DataHub, MLflow, Prometheus).\nExperience in enterprise AI governance (audit, lineage, compliance).\nContributions to open-source AI frameworks (LangChain, OpenAI MCP, Hugging Face, etc.).\nThank 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.\nUnless 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.\nSS&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.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.Applications will be accepted on an ongoing basis until the position is filled.\nSS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, 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