Job Information

- Date Opened 10/05/2026
- Job Type Full time
- Industry Technology
- City Bangalore North
- State/Province Karnataka
- Country India
- Zip/Postal Code 560077

Job Description

About Flatworld Solutions

Flatworld Solutions is a leading IT and business services company delivering end-to-end technology solutions

across software development, data management, AI/ML, and digital transformation. Our AI Solutioning team is the

engine behind intelligent products and platform-driven engagements — translating enterprise challenges into

scalable, AI-powered outcomes for clients worldwide.

Role Summary

We are looking for a Lead – AI Solutions to own the end-to-end AI solution lifecycle: from early-stage enterprise

discovery and opportunity shaping, through solution architecture and product roadmapping, to client delivery,

enablement, and post-engagement knowledge transfer. This is a cross-functional leadership role that sits at the

intersection of AI product thinking, client consulting, and delivery orchestration.

The ideal candidate has built or managed AI/ML platforms (conversational AI, NLP, analytics), run enterprise

discovery with large clients, and translated ambiguous requirements into shipped product capability — not

bespoke services. You are a 0-to-1 thinker who can also operate at scale.

Key Responsibilities

A. Enterprise Discovery & AI Solution Design

- Lead discovery workshops with enterprise clients to understand business processes, pain points, and

automation opportunities across diverse industry verticals.

- Design AI solution architectures mapping client needs to platform capabilities — conversational AI, NLP

pipelines, analytics dashboards, process automation, and intelligent workflows.

- Create As-Is / To-Be process maps, solution blueprints, and conceptual prototypes that articulate the AI

value proposition clearly to both technical and business stakeholders.

- Evaluate client technology landscapes (tools, data maturity, integration points) and recommend fit-for purpose AI approaches.

B. Product Roadmapping & Requirements Engineering

- Own the AI solution roadmap for assigned engagements — define scope, prioritize features, and sequence

releases aligned with client outcomes and internal platform capabilities.

- Translate enterprise requirements into productized features rather than one-off customizations; build

reusable, scalable solution components.

- Author and maintain solution documentation:
- Solution Design Documents (SDD)



and Technical Architecture Specifications
- Business Requirements Documents (BRD) and Functional Requirements Documents (FRD)
- Scope documents, effort estimations, and Statements of Work (SOW)
- Wireframes, UI/UX flows, and interactive prototypes
- Facilitate sprint planning, backlog prioritization, and acceptance criteria definition in Agile delivery

environments.

C. Client Delivery & Cross-Functional Orchestration

- Act as the primary solution owner across the engagement lifecycle — ensuring continuity from pre-sales

through delivery to handover.

- Lead cross-functional squads (data engineering, ML, design, QA) to ship AI solutions on time and at quality.
- Manage client communication cadence: status updates, risk escalations, demo reviews, and steering

committee presentations.

- Drive productization of repeating client patterns into reusable platform modules, reducing delivery effort

for subsequent engagements.

D. Client Enablement & Knowledge Transfer

- Conduct solution demonstrations, UAT walkthroughs, and executive showcases to client stakeholders.
- Design and deliver client training programmes: user guides, walkthrough videos, and FAQ documentation.
- Prepare comprehensive handover packages:
- System architecture and integration documentation
- Operational runbooks and support transition guides
- Closure reports, lessons learned, and recommendations for Phase 2 / expansion opportunities
- Identify upsell and cross-sell opportunities during engagements; support pre-sales with client-informed

solution proposals.

E. AI Practice Building & Thought Leadership

- Contribute to building Flatworld’s reusable AI solution accelerators, reference architectures, and proposal

templates.

- Mentor junior business analysts and solution consultants on discovery techniques, documentation

standards, and client communication.

- Stay current with AI/ML trends (LLMs, Generative AI, Agentic AI, RAG architectures) and evaluate

applicability to client engagements.

- Represent the AI Solutioning team in pre-sales pursuits, RFP responses, and industry events.

Requirements

Required Skills & Competencies





- Proven experience managing or owning an AI/ML product or platform — conversational AI, NLP, analytics,

or intelligent automation.

- Strong enterprise discovery and consulting skills: ability to run workshops, extract requirements from

ambiguous briefs, and translate them into structured solution designs.

- Hands-on experience with solution documentation — BRD, FRD, SOW, wireframes, and architecture

specifications.

- Deep understanding of AI/ML concepts: NLP, knowledge graphs, intent models, sentiment analytics, and

process automation pipelines.

- Experience converting enterprise requirements into productized capabilities (not just bespoke project

delivery).

- Cross-functional team leadership: track record of leading squads of 10+ across engineering, data, design,

and operations.

- Proficiency in roadmapping and prioritization frameworks; experience with Agile (Scrum/Kanban) delivery.
- Excellent client-facing communication — comfortable presenting to C-suite and technical audiences alike.
- Strong commercial awareness: pricing models, effort estimation, unit economics, and SOW negotiation.

Qualifications

- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related

field.

- 12 – 15 years of progressive experience spanning product management, AI/ML solutioning, and enterprise

delivery.

- Prior experience at an AI product company, analytics firm, or IT services organization with an AI practice is

strongly preferred.

- Certifications in AI/ML, Product Management (e.g., AIPMM, Pragmatic Institute), or Agile (CSM, SAFe) are

a plus.

Nice to Have

- Hands-on familiarity with LLM-based solutions, Generative AI platforms, or Agentic AI frameworks.
- Experience building analytics dashboards and data visualization layers for enterprise clients.
- Background in process automation (RPA tools like KAPOW/Kofax, UiPath, or Automation Anywhere).
- Startup or founding experience demonstrating 0-to-1 platform building capability.
- Exposure to phygital, content-tech, or media-tech product domains.

Benefits

What We Offer

- Leadership role in a growing AI Solutioning practice with direct client and platform ownership.
- Opportunity to shape Flatworld’s AI product and solution strategy from the ground up.
- Work with enterprise clients across diverse verticals — no two engagements are the same.
- Team-oriented culture with access to engineering, data science, and design talent.
- Competitive compensation, learning budgets, and fast-track leadership pathways.

📌 Lead – AI Solutions (Bengaluru)
🏢 Flatworld Solutions
📍 Bengaluru