AI Lead
Job Description
Role Purpose
The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed client s expectations and add value to business.
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Do
- Manage the product/ solution development using the desired AI techniques
- Lead development and implementation of custom solutions through thoughtful use of modern AI technology
- Review and evaluate the use cases and decide whether a product can be developed to add business value
- Create the overall product development strategy and integrating with the larger interfaces
- Create AI models and framework and implement them to cater to a business problem
- Draft the desired user Interface and create AI models as per business problem
- Analyze technology environment and client requirements to define product solutions using AI framework/ architecture
- Implement the necessary security features as per product s requirements
- Review the used case and see the latest AI that can be used in product s development
- Identify problem areas and perform root cause analysis and provide relevant solutions to the problem
- Tracks industry and application trends and relates these to planning current and future AI needs
- Create and delegate work plans to the programming team for product development
- Interact with Holmes advisory board for knowledge sharing and best practices
- Responsible for developing and maintaining client relationships with the key strategic partners and decision makers
- Drive discussions and provide consultation around product design as per customer needs
- Participate in client interactions and gather insights regarding product development
- Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements
- Assist in product s demonstration and receive feedback from the client
- Design presentations for seminars, meetings and enclave primarily focused over product
- Team Management
- Resourcing
- Forecast talent requirements as per the current and future business needs
- Hire adequate and right resources for the team
- Talent Management
- Ensure adequate onboarding and training for the team members to enhance capability & effectiveness
- Build an internal talent pool and ensure their career progression within the organization
- Manage team attrition
- Drive diversity in leadership positions
- Performance Management
- Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports
- Ensure that the Performance Nxt is followed for the entire team
- Employee Satisfaction and Engagement
- Lead and drive engagement initiatives for the team
- Track team satisfaction scores and identify initiatives to build engagement within the team
- Resourcing
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Deliver
No. Performance Parameter Measure 1. Continuous technical project management & delivery Adoption of new technologies, IP creation, MVP creation, Number of patents filed, Research papers created 2. Client Centricity No. of automation done, On-Time Delivery, cost of delivery, optimal resource allocation 3. Capability Building & Team Management % trained on new age skills, Team attrition %, Number of webinars conducted (internal/external)͏
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Job Summary: AI Engineer
Location- Waltham, MA
Key Responsibilities: Build and improve enterprise AI capabilities, including agent workflows, retrieval-augmented generation (RAG), and API integrations. Collaborate with business stakeholders and engineering to deliver reliable, secure, production-ready solutions across enterprise AI services and applications.
Required Skills: Core skills include Python and asynchronous API development, LangChain/LangGraph/LangSmith agent orchestration, Azure OpenAI, Azure AI Search, RAG, embeddings, and secure enterprise integrations such as the Microsoft Graph. Frontend experience with Next.js, React, and TypeScript is a nice to have, as are Cosmos DB/MongoDB and Redis
Preferred Qualifications: Desired background
Demonstrated experience delivering production AI/LLM applications, particularly agentic workflows and RAG systems. Microsoft Azure experience is preferred; energy or utilities experience is a plus. Able to contribute to end-to-end feature delivery as part of a cross-functional team, including data integration and production deployment. Experienced in building secure, permission-aware enterprise integrations and using Git and CI/CD practices. Produces clear technical documentation and handovers, and can explain architecture and trade-offs to nontechnical stakeholders.
Source: the employer's careers page. Last checked 2026-11-05. Posted 2026-11-05.
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