Lead Engineer-AI Product / Solution Consultant (Business AI Bridge)

: AI Product / Solution Consultant (Business–AI Bridge)

Role Overview

We are seeking a self-driven AI Product / Solution Consultant to play a key role as a bridge between business stakeholders and AI engineering teams, driving AI use cases from evaluation through execution with strong alignment to business value and governance.

Key Responsibilities

• Evaluate and qualify AI use cases based on feasibility, value, and data readiness
• Engage with business stakeholders to define and structure problem statements
• Play a key role as the interface between business and AI engineering teams
• Translate business needs into AI solution approaches
• Drive end-to-end use case shaping from discovery to POC readiness
• Define solution approach including data, architecture, and AI capabilities
• Develop and validate business cases including ROI and value realization
• Track and ensure realization of expected business benefits
• Ensure alignment with AI governance, data privacy, and compliance requirements
• Design use cases suitable for governance submission and approvals
• Collaborate with engineering teams on solution design and execution
• Drive pilot / POC execution ensuring measurable outcomes
• Support and contribute to enterprise AI adoption initiatives
• Stay aligned with emerging AI trends, Copilot ecosystem, and LLM advancements
• Operate effectively within large, global matrix organizations
• Drive discussions, decisions, and execution independently

• Bachelors or Masters degree in Engineering, Technology, Business, or related field
• 3–6 years of experience in consulting, product, or solution roles
• Strong consulting and problem-solving capability
• Experience working across end-to-end product / solution lifecycle
• Strong communication and stakeholder management skills
• Ability to independently drive discussions and outcomes
• Solid understanding of AI fundamentals (LLMs, automation, data-driven solutions)
• Working knowledge of AI governance principles (Responsible AI, data privacy, risk awareness)
• Experience capturing requirements and planning work using JIRA (or similar tools)

• Experience with enterprise AI tools (e.g., Copilot, RAG-based solutions)
• Exposure to enterprise data environments
• Experience in business case modeling and ROI estimation
• Familiarity with JIRA, Confluence, TFS, or similar tools
• Experience working in large global / matrix organizations

• Self-driven with strong ownership mindset
• Business–technology translation capability
• Structured thinking and analytical ability
• Effective stakeholder communication and collaboration