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.

Job Description

Job Title: LLMOps Engineer
Locations: Hyderabad, India | Hybrid
Get To Know Us:
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 midmarket firms, rely on SS&C for expertise, scale, and technology.
Why You Will Love It Here!
• Flexibility: Hybrid Work Model and Business Casual Dress Code, including jeans
• Your Future: Provident Fund
• Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays
• Your Wellbeing: Mediclaim, Term Life Insurance, Accidental Coverage, Employee Assistance Program, Parental Leave
• Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity
• Training: Hands-On, Team-Customized, including SS&C University
• Extra Perks: Diwali voucher, Monthly remunerated RnR program
What You Will Get To Do:
• Maintain automated CI/CD pipelines dedicated to model prompt deployments, vector index updates,
and agent graph configurations.
• Monitor live production model endpoints for latency spikes, token utilization, response drift, and output accuracy degradation.
• Administer, re-index, and optimize vector databases (Milvus, Qdrant, Pinecone) to maintain peak search precision over time.
• Build observability dashboards to track API token costs, rate limits, and model utilization across internal business groups.
• Configure tracing platforms (LangSmith, Phoenix, Arize) to capture step-by-step agent decisions and tool execution history.
• Support regular regression test suites prior to updating underlying foundation models or system configurations.
What You Will Bring:
• 4 - 7 years in software engineering, DevOps, or ML platform maintenance, with 2+ years dedicated to LLM deployment operations.
• Hands-on experience with LLM observability, tracing, and evaluation tools (LangSmith, LangFuse, Arize, TruLens).
• Working knowledge of vector database management, indexing parameters (HNSW, IVFFlat), and payload filtering optimization.
• Strong Python programming skills, with direct experience handling REST APIs, FastAPI, and containerized deployments.

• Clear understanding of version control strategies for prompt engineering and vector database
migrations.
We encourage applications from people of all backgrounds to enable us to bring diverse perspectives to
our thinking and conversation. It is important to us that we strive to have a workforce that is diverse in the
widest sense.
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.

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.

Applications will be accepted on an ongoing basis until the position is filled.

SS&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, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.