Job Description Must Have Technical/Functional Skills • 8+ years of experience in Data Science, Machine Learning, and AI solution delivery. • Strong hands-on experience designing and deploying Generative AI, Agentic AI, and traditional ML solutions. • Deep expertise in LLMs, RAG architectures, prompt engineering, and retrieval systems. • Experience building multi-agent AI solutions using frameworks such as LangGraph, Google ADK, AutoGen, CrewAI, or similar. • Strong programming skills in Python with experience developing production-grade AI applications. • Working knowledge of SQL, JavaScript/TypeScript, and React for full-stack AI solution development. • Experience developing and deploying REST APIs, AI services, and intelligent applications. • Hands-on experience with GCP Vertex AI, plus familiarity with AWS (Bedrock, SageMaker) and Databricks. • Experience with Docker, Kubernetes, CI/CD, and cloud-based solution deployment. • Strong understanding of AI evaluation, observability, hallucination detection, red-teaming, safety testing, and responsible AI practices. • Experience integrating AI solutions with enterprise data platforms, APIs, tools, and business workflows. • Proven ability to lead end-to-end AI solution delivery, from ideation and architecture through deployment and production monitoring. • Strong stakeholder management, solution design, and technical leadership skills. • Experience mentoring engineers and driving technical standards, best practices, and AI adoption across teams. Roles & Responsibilities • Lead the design, development, and deployment of AI/ML, Generative AI, and Agentic AI solutions from concept through production. • Architect and implement LLM-based applications, RAG frameworks, multi-agent systems, and intelligent automation solutions. • Develop scalable AI services, APIs, and full-stack applications using Python, React, and modern cloud technologies. • Build and optimize retrieval systems, knowledge graphs, prompt frameworks, and enterprise AI workflows. • Partner with business stakeholders to identify opportunities, define solution roadmaps, and deliver measurable business outcomes. • Drive technical decisions related to AI architecture, model selection, orchestration frameworks, cloud services, and data platform integrations. • Develop rapid prototypes and proof-of-concepts to validate AI use cases and accelerate adoption. • Establish and enforce best practices for AI engineering, model evaluation, testing, observability, security, and Responsible AI. • Deploy, monitor, and optimize production AI solutions using cloud-native and DevOps practices. • Collaborate with Data Scientists, Engineers, Product Managers, and Technology teams to deliver enterprise-scale AI capabilities. • Mentor and guide AI Engineers and Data Scientists, fostering technical excellence and innovation. • Evaluate emerging AI technologies, frameworks, and tools, and recommend their adoption where appropriate. • Communicate solution architecture, implementation approaches, and business value to senior leadership and executive stakeholders. • Drive continuous improvement of AI delivery standards, reusable frameworks, and enterprise AI capabilities. TCS Employee Benefits Summary Discret ionary 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. Salary Range: $120,000 – 130,000 a year Qualifications: BACHELOR OF COMPUTER SCIENCE