AI Architect

Overview Understanding LLMs, NLP, deep learning frameworks, cloud platforms (AWS, Azure), MLOps, Python, and data engineering. Experience with generative AI frameworks (such as LangGraph, Langchain or similar). Prototyping new techniques and exploring novel applications (e.g., intelligent agents, automation). Technical document writing. Translating complex business problems into feasible AI solutions. Worked on AgenticAI and built several AI agents. Aligning AI initiatives with business goals, identifying value opportunities, and creating roadmaps. Architecting end-to-end AI/GenAI solutions, including data pipelines, model integration, cloud infrastructure (Azure, AWS), and API design. Selecting models, optimizing performance, overseeing training, and ensuring reliability, fairness, and scalability. Guiding development, setting up CI/CD pipelines, managing infrastructure, and integrating with existing systems. Implementing security, compliance, monitoring, and ethical AI practices (Responsible AI). Write reusable, testable, and efficient code with Python, R frameworks. Job Description Must Have Technical/Functional Skills Understanding LLMs, NLP, deep learning frameworks, cloud platforms (AWS, Azure), MLOps, Python, and data engineering. Experience with generative AI frameworks (such as LangGraph, Langchain or similar) Prototyping new techniques and exploring novel applications (e.g., intelligent agents, automation). Technical document writing Translating complex business problems into feasible AI solutions. Python API development (production-ready) Worked on AgenticAI and built several AI agents. Agile teamwork and communication Roles & Responsibilities Aligning AI initiatives with business goals, identifying value opportunities, and creating roadmaps Architecting end-to-end AI/GenAI solutions, including data pipelines, model integration, cloud infrastructure (Azure, AWS), and API design. Selecting models, optimizing performance, overseeing training, and ensuring reliability, fairness, and scalability. Guiding development, setting up CI/CD pipelines, managing infrastructure, and integrating with existing systems. Implementing security, compliance, monitoring, and ethical AI practices (Responsible AI). Write reusable, testable, and efficient code with Python, R frameworks Salary & Benefits Salary Range: $120,000 - $140,000 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 & 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 #J-18808-Ljbffr Tata Consultancy Services