Must Have Technical/Functional Skill
Python (PyTorch/TensorFlow), SQL, API design; familiarity with LangChain/LlamaIndex, Azure/AWS AI,
GitHub, Docker, Kubernetes
Roles & Responsibilities
• Define end-to-end AI/ML and GenAI architectures (data ingestion feature store model training inference monitoring).
• Design LLM-based solutions: RAG pipelines, prompt orchestration, guardrails, policy enforcement, and human-in-the-loop workflows.
• Select appropriate models (open source vs. hosted foundation models), vector databases, embedding strategies, and retrieval frameworks.
• Author architecture artifacts: context diagrams, sequence diagrams, deployment topology, decision records, security controls, and data lineage.
• Lead data architecture for AI workload data quality, labeling, metadata, PII handling, and de-identification.
• Establish MLOps: CI/CD for models, feature store, model registry, automated evaluation, canary rollout, A/B testing, drift monitoring.
• Optimize cost and performance for training/inference (GPU/TPU selection, quantization, distillation, batching).
• Ensure data privacy, consent, and secure access (role-based control, encryption, KMS, secret management).
Salary Range $150,000-$180,000Per year
TCS Employee Benefits Summary:
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 & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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