Job Description :

Role : AI Practice Manager

Responsibilities :

- Be the primary spokesperson for the solutions/applications being developed and liaison with the customer, providing capability demonstration.

- Define and drive AI practice strategy including offerings, GTM approach, and capability roadmap.

- Establish AI Center of Excellence (CoE) and governance frameworks.

- Lead AI adoption initiatives across the organization by staying current with industry trends and enabling teams through webinars, trainings, and thought leadership content.

- Provide guidance in domain aspects to the team.

- Develop reusable AI accelerators, frameworks, and best practices.

- Monitor industry trends and align practice with emerging AI technologies.

- Ensure governance, quality, and delivery excellence across AI projects.

- Work with SMEs (Architects, Development leads) to define best practices and benchmarks.

- Drive pre-sales, solutioning, and client engagements.

- Lead the proposals of assigned clients - presentations, scoping, estimating efforts etc.

- Create SOWs with milestone plans, key deliverables, assumptions, commercials and dependencies etc and other such contractual artefacts.

- Manage change request and scope creep.

- Monitor project baseline to ensure activities progressing as planned.

- Manage P&L for projects ensuring margins and client SLAs are consistently met.

- Create and implement strategy to mitigate shortfalls in timeline and budget.

- Ensure that team maintains high level of competence and operational excellence.

- Publish status reports with metrics to internal and external stakeholders.

- Proactively identify risks and issues on programs/projects and develop mitigation plans.

- Account mining - Identify new service opportunities with clients and support sales team to close the deals effectively.

- Thought leadership - identify business problems and come up with ideas to build solutions & frameworks to offer to various clients and monetize.

- Generate and execute onboarding, trainings, KT and skill building plans.

- Build and scale AI competencies across teams through hiring, training, and certifications.

- Contribute to Initiatives like writing whitepapers, blogs, Point of Views.

- Motivate and mentor team members.

- Employee engagement - handle appraisals & retention.

Required Skills :

- 20+ years of experience with 8+ years in leadership roles.

- Strong experience in AI/GenAI solutioning and enterprise architecture.

- Experience in understanding AI related use cases and developing as reusable product, accelerator.

- Experience in programming language like Java, Spring Boot, Python etc.

- Experience in any Cloud Platforms like, AWS, Azure, GCP.

- Experience with Azure OpenAI, AWS Bedrock, GCP Vertex AI.

- Experience designing and developing AI Agents and Agentic Workflows.

- Experience in LangChain, Semantic Kernel, or similar frameworks.

- Good experience in leverage AI Assistants like Claude, Copilot, Cursor.

- Proven track record of managing large scale multisite, multi brand, multi country eCommerce implementations.

- Experience in B2B and B2C implementations is required.

- Experience in eCommerce tools like SFCC (Demandware), Hybris, Magento etc.

- Good knowledge/experience in PIM, DAM, CMS, Loyalty, OMS and other systems linked eCommerce.

- Deep understanding of eCommerce flows, integrations with various internal and third-party systems.

- Proven ability to enhance business ROI by leveraging AI-driven solutions.

- Proven experience in delivering end-to-end solutions by effectively leveraging AI capabilities.

- Experience in managing around 100 resources in a single account or multiple accounts.

- Excellent understanding of industry proven design patterns and a problem solver.

- Experience in Pre-Sales - defining end to end solution architecture covering technical, deployment architectures and non-functional & performance aspects.

- Experience in building practices and managing large teams.

- Strong knowledge of AI platforms and enterprise ecosystems.

- Excellent leadership, communication, and stakeholder management skills.

- Strong understanding of KPIs that measure and demonstrate productivity improvements.

- Experience in using estimation techniques like (Usecase, FP, Story points).

- Experience in making presentations, demos to customers and internal management team.

- Experience in pre-sales working on RFP / RFI and drive proposals.

- Should have experience in driving org initiatives like creating case studies, writing white papers, blogs.