Desired Competencies (Technical/Behavioral Competency)

Must-Have**

- Proven experience driving AI strategy and implementation across multiple functions
- Ability to engage CXO/VP-level stakeholders and influence decision-making
- Strong program management skills to oversee AI roadmap, execution, governance
- Understanding of ethical AI, regulatory compliance, data privacy norm
- Ability to translate business challenges into AI-driven solutions
- Robust communication, consulting, and change management capability
- Knowledge of Generative AI, LLMs, and transformer architectures.

Good-to-Have

- Experience in setting up AI Centers of Excellence (CoE)
- Certifications in AI/ML, cloud, or enterprise architecture
- Exposure to automation, AIOps, MLOps frameworks

Responsibility of / Expectations from the Role

- Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
- Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
- Optimizing existing generative AI models for improved performance,



scalability, and efficiency.
- Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
- Contributing to the establishment of best practices and standards for generative AI development within the organization.
- Providing technical mentorship and guidance to junior team members.
- Define and lead the enterprise AI strategy aligned to business transformation goal
- Partner with business, technology, and functional teams to identify, assess, and prioritize AI opportunities
- Drive the execution of AI initiatives, ensuring scalable and secure architectures
- Establish AI governance frameworks, operating models, and best practices
- Guide teams on AI solution design, model adoption, risk evaluation, and change management
- Track business value realization and continuously refine the AI roadmap
- Oversee vendor/partner evaluations and technology stack decisions
- Evangelize AI adoption through workshops, training, and solution demonstrations

📌 AI Architect (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad