AI/ML Solution Architect

Job Description

Must Have Technical/Functional Skills

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 $120,000-$180,000 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.

Qualifications: BACHELOR OF COMPUTER SCIENCE