AI Architect

Strong communication skills to simplify complex AI concepts. Shape and evolve the company’s AI strategy in alignment with business priorities. Define vision, principles, and success metrics for AI adoption. Act as an internal advocate and thought leader for responsible AI innovation. Partner with departmental AI Champions to identify and prioritize high-value use case Familiarity with responsible AI and ethical principles Deep knowledge of AI/ML tools (e.g., Vertex AI, SageMaker). AI Agentic experience, Google cloud, Python and SQL,Extensive experience building, deploying, and maintaining high-availability AI solutions in a large-scale production environment. Expertise in cloud (AWS, GCP) and Data lake Design and develop AI architectures that meet business requirements and enhance operational efficiency. Implement machine learning models using frameworks such as TensorFlow, Spark, and R. Collaborate with data engineers to build ETL processes and ensure seamless data integration for model training. Conduct data mining and analytics to extract meaningful insights from complex datasets. Deploy models into production environments while ensuring scalability and performance. Stay updated with the latest advancements in AI, machine learning, and related technologies. Mentor junior team members on best practices in AI development and deployment. Assess AI use cases for feasibility, impact, and risks. Review and advise on AI/ML solution architecture, scalability, data quality, and security. Identify and mitigate risks (privacy, bias, compliance) Job Description Strong communication skills to simplify complex AI concepts. Shape and evolve the company’s AI strategy in alignment with business priorities. Define vision, principles, and success metrics for AI adoption. Act as an internal advocate and thought leader for responsible AI innovation. Partner with departmental AI Champions to identify and prioritize high-value use case Familiarity with responsible AI and ethical principles Deep knowledge of AI/ML tools (e.g., Vertex AI, SageMaker). AI Agentic experience, Google cloud, Python and SQL,Extensive experience building, deploying, and maintaining high-availability AI solutions in a large-scale production environment. Expertise in cloud (AWS, GCP) and Data lake Must Have Technical/Functional Skills Strong communication skills to simplify complex AI concepts. Shape and evolve the company’s AI strategy in alignment with business priorities. Define vision, principles, and success metrics for AI adoption. Act as an internal advocate and thought leader for responsible AI innovation. Partner with departmental AI Champions to identify and prioritize high-value use case Familiarity with responsible AI and ethical principles Deep knowledge of AI/ML tools (e.g., Vertex AI, SageMaker). AI Agentic experience, Google cloud, Python and SQL,Extensive experience building, deploying, and maintaining high-availability AI solutions in a large-scale production environment. Expertise in cloud (AWS, GCP) and Data lake Roles & Responsibilities Design and develop AI architectures that meet business requirements and enhance operational efficiency. Implement machine learning models using frameworks such as TensorFlow, Spark, and R. Collaborate with data engineers to build ETL processes and ensure seamless data integration for model training. Conduct data mining and analytics to extract meaningful insights from complex datasets. Deploy models into production environments while ensuring scalability and performance. Stay updated with the latest advancements in AI, machine learning, and related technologies. Mentor junior team members on best practices in AI development and deployment. Assess AI use cases for feasibility, impact, and risks. Review and advise on AI/ML solution architecture, scalability, data quality, and security. Identify and mitigate risks (privacy, bias, compliance) Salary Range-$100,000-$140,000 a 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.a Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #J-18808-Ljbffr Tata Consultancy Services