Wipro AI Lead Jobs in Hyderabad | Generative AI
Role Overview
Job Overview
Wipro is hiring an AI Lead L1 in Hyderabad, Telangana for a role focused on developing practical Generative AI solutions that address client and business requirements. This is an experienced technology leadership opportunity for professionals with 5 to 8 years of experience who can combine AI expertise, solution development, product thinking, client engagement, and team management.
The role is centered on taking AI ideas from business problem identification through MVP development, solution design, implementation, and client feedback. The AI Lead will evaluate use cases, select suitable AI approaches, create models and frameworks, contribute to product architecture, and help teams turn emerging AI capabilities into useful business solutions. The position also involves working closely with strategic clients, delivery teams, business stakeholders, and technical teams.
This opportunity is particularly relevant for professionals searching for Wipro jobs, AI Lead jobs, Generative AI jobs, AI Developer jobs, Hyderabad IT Jobs, software jobs, and experienced technology leadership roles.
Key Responsibilities
- Lead the development of AI-based MVPs and comprehensive solutions aligned with client expectations and business objectives.
- Evaluate business use cases and determine whether AI can deliver measurable value through a practical product or solution.
- Define product development strategies and ensure AI solutions integrate effectively with broader application interfaces and business systems.
- Design and implement AI models and frameworks to address identified business problems.
- Contribute to user interface planning and ensure AI capabilities support the intended user experience.
- Analyze client requirements and technology environments to determine suitable AI architectures and implementation approaches.
- Incorporate appropriate security considerations into AI product and solution development.
- Research emerging AI technologies and identify opportunities to apply relevant innovations to product development.
- Investigate technical and product problems, perform root cause analysis, and recommend suitable solutions.
- Track AI industry and application trends to support current and future technology planning.
- Create work plans and delegate development responsibilities to programming team members.
- Participate in knowledge sharing and best-practice discussions through relevant internal advisory groups.
- Work with strategic clients and decision-makers to understand business needs and provide technical consultation.
- Support product design discussions and gather feedback that can improve AI solutions.
- Collaborate with business and delivery teams on client requirements, proposals, and RFP responses.
- Support product demonstrations, presentations, seminars, and client meetings.
- Forecast team capability requirements and participate in hiring and resource planning.
- Support onboarding, training, career development, performance management, and employee engagement across the team.
- Build internal AI capability by encouraging continuous learning and development of new-age technical skills.
Required Skills
Generative AI is the mandatory technical skill for this position. Candidates should have practical experience applying Generative AI to business or product development scenarios and should be comfortable evaluating AI use cases, selecting appropriate approaches, and guiding implementation.
The role also requires the ability to translate business requirements into technical AI solutions. Strong solution design, analytical thinking, problem-solving, technical project management, and product development capabilities are important. Candidates should be able to assess technology environments, identify suitable AI frameworks or architectures, and guide engineering teams toward implementation.
Because the role combines technical leadership with client engagement, applicants should also be comfortable explaining AI concepts and solution approaches to business stakeholders and decision-makers. Experience participating in demonstrations, RFP discussions, consulting conversations, or product design sessions can be valuable.
Preferred Skills
Experience across different AI techniques, frameworks, architectures, or enterprise application environments can strengthen a candidate's profile. Professionals who actively follow AI industry developments and can identify practical opportunities for new technology adoption are particularly relevant.
Experience with AI product strategy, MVP creation, automation, solution architecture, technical project delivery, or intellectual property development can also be useful. The job description specifically associates delivery performance with new technology adoption, MVP creation, automation, patents, and research contributions.
Leadership experience involving recruitment, onboarding, capability building, performance reviews, mentoring, and employee engagement is important because the position includes direct team management responsibilities.
Education
The supplied job description does not specify a mandatory educational qualification. Candidates should have relevant technical, engineering, AI, software development, or related professional expertise consistent with the 5 to 8 years of experience required for the role.
Experience
The required experience level is 5 to 8 years. Applicants should have substantial experience working with Generative AI and should be capable of leading AI solution development rather than only performing individual implementation tasks.
Experience should ideally demonstrate ownership across multiple stages of an AI initiative, such as understanding a business problem, assessing feasibility, selecting an AI approach, designing a solution, developing an MVP, coordinating engineering work, validating the outcome, and incorporating stakeholder feedback.
Required Technologies
- Generative AI
- AI models
- AI frameworks
- AI architecture
- Artificial Intelligence
- AI-based product development
- AI solution development
The supplied job description does not name specific programming languages, cloud platforms, databases, or Generative AI frameworks. Candidates should therefore avoid claiming technologies that they have not actually used.
Soft Skills
Strong client communication and stakeholder management skills are important for this role. The AI Lead will interact with strategic partners, decision-makers, business teams, delivery teams, and programming teams, so the ability to communicate clearly across technical and business audiences is essential.
Leadership, delegation, mentoring, collaboration, analytical thinking, and structured problem-solving are also important. The position requires someone who can make practical decisions about AI adoption while balancing business value, technical feasibility, team capability, and delivery requirements.
Benefits of Working in this Role
This role offers the opportunity to work on AI initiatives that are connected directly to client business problems. Professionals can gain experience across Generative AI solution development, product strategy, client consulting, technical leadership, and team management.
The position also provides exposure to emerging AI trends, MVP creation, automation initiatives, research-oriented activities, and capability building. The combination of technical delivery and leadership responsibilities can help experienced AI professionals broaden their impact beyond individual development tasks.
Work Mode
The supplied job description does not specify a remote, hybrid, or onsite work arrangement. Therefore, the work mode is recorded as onsite for this job listing based only on the available job information and should be confirmed with Wipro during the application process.
Location
The AI Lead L1 position is based in Hyderabad, Telangana, India.
Who Should Apply
This opportunity is suited to AI professionals with 5 to 8 years of experience who have hands-on Generative AI expertise and are ready to take responsibility for solution direction, client engagement, and team leadership.
It is particularly relevant for AI Leads, AI Solution Architects, Generative AI professionals, technical project leaders, senior AI engineers, and experienced software professionals who have moved into AI-focused product development and leadership roles.
Career Growth
The role can support career development toward senior AI leadership, AI architecture, enterprise AI consulting, solution strategy, product leadership, and broader engineering management positions. Its combination of technical delivery, client interaction, emerging technology evaluation, and people management can help professionals build both specialist and leadership capabilities.
Application Advice
When applying, emphasize your 5 to 8 years of relevant experience and place Generative AI experience prominently on your resume. Describe AI projects in terms of the business problem, solution approach, your technical contribution, and measurable project outcomes where those details can be shared.
Highlight experience with MVP development, AI model or framework implementation, solution architecture, client discussions, technical presentations, RFP support, automation, and team leadership. If you have managed hiring, onboarding, mentoring, performance reviews, capability development, or technical delivery, include those responsibilities clearly.
Avoid listing AI technologies or frameworks that are not supported by your actual experience. A focused application demonstrating both technical AI depth and the ability to lead teams and engage clients will be more relevant for this position.
Technical Ecosystem
Eligibility Criteria
Education
Relevant technical or engineering qualification. The job description does not specify a mandatory degree.
Experience
5 - 8 years
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