AI/ML Ops Architect

TCS offers a comprehensive benefits package and a competitive salary range.

Technical Skills

• Programming Languages: Python, Java
• Agentic AI: Google ADK, A2A, LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen, Open AI Agentic SDK
• Tool Integration: Gemini Tools, Custom MCP tools
• Machine Learning Frameworks: TensorFlow, PyTorch, AutoML
• Generative AI: Hands-on experience with generative AI models, RAG (Retrieval-Augmented Generation) architecture, and Natural Language Processing (NLP)
• Cloud Platforms: Google Cloud Platform (GCP), Vertex AI, Kubeflow
• Data Engineering: Proficiency in data preprocessing and feature engineering
• Version Control: Experience with GitHub
• Data Science Practices: Skills in building models, testing/validation, and deployment
• Databases: DB2, Oracle, BigQuery, BigData, Cassandra, PostgreSQL
• Collaboration: Experience working in an Agile framework
• RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search
• Good to Have: Knowledge in GPU programming, GPU profiling, GPU optimizations, and TensorRT

Functional Skills

• Experience working with customers in the Retail Domain
• Knowledge in Retail Pricing functionalities is a plus

Responsibilities

• Meet with IT and Business teams to understand the requirements and opportunities
• Architect systems for AI/ML, agent-based AI workflows
• Lead the design and development of AI/ML, ML Ops, and Agentic AI solutions
• Develop and optimize ML models, pipelines, and orchestration logic
• Deploy AI/ML Models, LLM-based pipelines, agent orchestration, and vector-based memory systems
• Work closely with data scientists, ML engineers, DevOps, and software engineers to ensure seamless integration and deployment of solutions
• Drive technical strategy, tooling, and infrastructure decisions
• Provide management with timely communication on status and utilize appropriate tools and/or develop custom solutions as required to meet objectives
• Identify areas for process improvement
• Maintain appropriate communication within the team and across various teams (i.e., internal and external)

Benefits

• 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

Pay

$130,000 - $150,000 a year