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.
- Valuable 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

📌 AI Practice Manager (Uttar Pradesh)
🏢 GSPANN
📍 Uttar Pradesh