AI - Practice Manager

Role & 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.

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

Preferred candidate profile

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