Get AI-powered advice on this job and more exclusive features.
Overview
Role involves designing and operationalizing GenAI capabilities, including LLMs and RAG, with emphasis on guardrails, observability, and scalable AI solution architecture.
Responsibilities
- Implement Guardrails and observability across RAG and LLM applications
- Setup GenAI Ops workflows to continuously monitor inference latency, throughput, quality and safety metrics
- Define, track, and analyze RAG guardrail metrics using LLMs as Judges and SMLs (e.g., attribution, grounding, prompt injection, tone, PII leakage)
- Implement annotation, structured feedback loops, fine-tuning, and alignment methods to calibrate judge models
- Use LangChain to orchestrate guardrail checks, manage prompt versioning and integrate judge model scoring workflows
- Work with OpenShift to deploy, scale and monitor containerized GenAI services
- Build observability dashboards and alerts (Grafana or equivalent) for AI reliability
- Contribute to emerging evaluation and guardrails as autonomous AI workflows expand
Qualifications
- Bachelor’s or Master’s degree in Data Science, Computer Science, MIS, related field, or equivalent experience
- 10+ years of experience designing and developing AI solution architecture to scale
- Proven hands-on experience in GenAI Ops – operationalizing LLM and RAG applications in production
- Strong hands-on experience with the LangChain framework
- Experience specifically with the OpenAI API, chat completions, embeddings, etc.
- Solid awareness of TensorRT and VLLM implementation
- Strong proficiency in Python and data science libraries (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow)
- Proven experience applying guardrails and observability to LLM or RAG-powered applications
- Experience with LLMs as Judges and SMLs for evaluation (attribution, adherence, bias, PII, etc.)
- Hands-on experience with OpenShift (or Kubernetes) for containerized AI workloads
- Experience measuring and optimizing inference latency
Salary
100,000-125,000 per annum
Benefits
TCS Employee Benefits Summary includes: Discretionary Annual Incentive; Comprehensive Medical Coverage (Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans); Family Support (Maternal & Parental Leaves); Insurance Options (Auto & Home Insurance, Identity Theft Protection); Convenience & Professional Growth (Commuter Benefits & Certification & Training Reimbursement); Time Off (Vacation, Time Off, Sick Leave & Holidays); Legal & Financial Assistance (Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing).
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Engineering and Information Technology
Industries
- IT Services and IT Consulting
Charlotte, NC
#J-18808-Ljbffr