<p>Must Have Technical/Functional Skills</p> <p>AI & Solution Architecture</p> <ul> <li>Define and own end to end AI architecture for enterprise solutions, from data ingestion to AI driven decisioning and insights. </li><li>Design AI native platforms where GenAI and ML capabilities are embedded as core services, not bolt ons. </li><li>Establish modular, reusable, and composable AI components aligned to enterprise architecture standards. </li><li>Ensure scalability, performance, reliability, and security of AI systems in production. </li></ul> <p>GenAI & Agentic AI</p> <ul> <li>Architect Generative AI solutions, including: </li></ul> <p>o Large Language Models (LLMs)</p> <p>o Retrieval Augmented Generation (RAG)</p> <p>o Multi agent and agent orchestration patterns</p> <ul> <li>Define agent workflows, memory/context handling, tool integration, and decision confidence mechanisms. </li><li>Guide responsible selection and usage of cloud based and open source LLMs. </li></ul> <p>Data, ML & MLOps</p> <ul> <li>Design AI solutions leveraging modern data platforms, feature stores, vector databases, and knowledge graphs. </li><li>Define MLOps / LLMOps pipelines for training, evaluation, deployment, monitoring, and lifecycle management. </li><li>Implement mechanisms for model versioning, drift detection, cost optimization, and continuous improvement. </li></ul> <p>Governance, Security & Responsible AI</p> <ul> <li>Ensure AI solutions adhere to enterprise security, privacy, and compliance requirements. </li><li>Embed Responsible AI principles, including explainability, auditability, bias mitigation, and human in the loop controls. </li><li>Define governance frameworks for model usage, access control, and operational oversight. </li></ul> <p>Technical Leadership & Collaboration</p> <ul> <li>Act as technical thought leader for AI initiatives across delivery teams. </li><li>Collaborate with product owners, UX designers, data engineers, cloud engineers, and DevOps teams. </li><li>Provide architecture guidance, reviews, and mentorship to senior engineers. </li><li>Communicate complex AI concepts clearly to technical and non technical stakeholders. </li></ul> <p>Required Technical Skills</p> <p>AI / GenAI</p> <ul> <li>Strong experience with Generative AI and Agentic AI architectures </li><li>Hands on knowledge of LLMs, embeddings, RAG pipelines, prompt engineering, and agent frameworks </li><li>Proficiency in Python for AI/ML development </li></ul> <p>ML & Data Engineering</p> <ul> <li>Experience with ML/DL frameworks such as TensorFlow, PyTorch, scikit learn </li><li>Knowledge of data engineering, feature engineering, an d analytics pipelines </li><li>Familiarity with vector databases, graph databases, and search engines </li></ul> <p>Cloud & Platform</p> <ul> <li>Experience designing AI solutions on cloud platforms (AWS, Azure, or GCP) </li><li>Strong understanding of cloud native, microservices, and API driven architectures </li><li>Exposure to observability, monitoring, and logging for AI systems </li></ul> <p>Security & Compliance</p> <ul> <li>Knowledge of data privacy, security best practices, and enterprise compliance standards </li><li>Experience designing secure and governed AI solutions </li></ul> <p>Experience & Qualifications</p> <ul> <li>12-16 years of overall IT experience </li><li>8+ years of experience in AI/ML solution or enterprise architecture </li><li>Proven experience delivering production grade AI platforms at scale </li><li>Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field </li></ul> <p>Behavioral & Professional Skills</p> <ul> <li>Strong analytical and problem solving skills </li><li>Excellent communication and stakeholder management abilities </li><li>Ability to balance strategic vision with hands on architectural depth </li><li>Experience working in agile and fast paced delivery environments </li><li>Mentoring mindset with the ability to uplift technical teams </li></ul> <p>Salary Range $120 000-$150,000 year</p> <p>TCS Employee Benefits Summary:</p> <p>Discretionary Annual Incentive.</p> <p>Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.</p> <p>Family Support: Maternal & Parental Leaves.</p> <p>Insurance Options: Auto & Home Insurance, Identity Theft Protection.</p> <p>Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.</p> <p>Time Off: Vacation, Time Off, Sick Leave & Holidays.</p> <p>Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</p> <p>#LI-SP1</p>