AI Lead

Wipro•Syracuse, NY

About The Position

Wipro is hiring an AI Lead to develop minimum viable products and comprehensive AI solutions that address client needs and create business value. The role includes leading AI product and solution development, evaluating use cases, setting product strategy, designing and implementing AI models and frameworks, and incorporating required security features. The position also works with client and business stakeholders to shape product design, gather requirements and feedback, respond to RFPs, and demonstrate solutions. The job posting also describes an AI Engineer role based in Waltham, Massachusetts, focused on building and improving enterprise AI capabilities, including agent workflows, retrieval-augmented generation (RAG), and API integrations. The engineer collaborates with business stakeholders and engineering teams to deliver reliable, secure, production-ready enterprise AI services and applications. The work includes end-to-end feature delivery, data integration, production deployment, secure enterprise integrations, technical documentation, and communicating architecture and trade-offs to nontechnical stakeholders. The role includes team leadership responsibilities such as forecasting talent needs, hiring, onboarding and training, developing team capabilities, managing attrition, conducting performance reviews, and leading employee engagement initiatives. Success is measured by technical delivery and adoption of new technologies, IP and MVP creation, client-centric delivery, and team capability building. The posting states a required experience range of 5–8 years and an expected compensation range of $60,000 to $135,000. Wipro's standard benefits are offered, including medical and dental benefit options, disability insurance, paid time off inclusive of sick leave, and other paid and unpaid leave options.

Requirements

5–8 years of experience.
Experience with agentic AI.
Python and asynchronous API development.
Experience with LangChain, LangGraph, or LangSmith agent orchestration.
Azure OpenAI, Azure AI Search, RAG, and embeddings.
Ability to build secure enterprise integrations, including Microsoft Graph integrations.
Demonstrated experience delivering production AI or LLM applications, particularly agentic workflows and RAG systems.
Ability to contribute to end-to-end feature delivery in a cross-functional team, including data integration and production deployment.
Experience with secure, permission-aware enterprise integrations.
Experience using Git and CI/CD practices.
Ability to produce clear technical documentation and handovers and explain architecture and trade-offs to nontechnical stakeholders.
Ability to collaborate with business stakeholders and engineering teams.
Ability to lead teams, manage performance, and support talent development.

Nice To Haves

Frontend experience with Next.js, React, and TypeScript.
Experience with Cosmos DB or MongoDB and Redis.
Microsoft Azure experience.
Energy or utilities experience.

Responsibilities

Manage AI product and solution development using appropriate AI techniques.
Lead development and implementation of custom AI solutions using modern AI technologies.
Review use cases and assess whether products can be developed to add business value.
Create product development strategy and integrate solutions with larger interfaces.
Create AI models and frameworks and implement them to address business problems.
Design user interfaces and AI models based on business problems.
Analyze technology environments and client requirements to define AI product solutions and architecture.
Implement security features required by products.
Review use cases and identify relevant current AI technologies for product development.
Identify problem areas, perform root-cause analysis, and provide solutions.
Track industry and application trends and relate them to current and future AI needs.
Create and delegate work plans to the programming team.
Share knowledge and best practices with the Holmes advisory board.
Develop and maintain relationships with strategic clients and decision-makers.
Consult with clients on product design and gather product-development requirements and insights.
Coordinate with vertical delivery and business teams and prepare or correct responses to RFPs and client requirements.
Assist with product demonstrations and collect client feedback.
Design presentations for seminars, meetings, and enclaves focused on products.
Build and improve enterprise AI capabilities, including agent workflows, RAG, and API integrations.
Collaborate with business stakeholders and engineering teams to deliver reliable, secure, production-ready AI solutions.
Contribute to end-to-end feature delivery, including data integration and production deployment.
Build secure, permission-aware enterprise integrations.
Produce technical documentation and handovers, and explain architecture and trade-offs to nontechnical stakeholders.
Forecast current and future team talent requirements and hire suitable resources.
Ensure team onboarding and training, build internal talent, and support career progression.
Manage team attrition and drive diversity in leadership positions.
Set team goals, conduct timely performance reviews, and provide constructive feedback to direct reports.
Ensure the Performance Nxt process is followed for the team.
Lead engagement initiatives, track team satisfaction, and identify ways to improve engagement.