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-forpurpose 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.
- Robust 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.
- Collaborative 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