Lead – AI Solutions

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.
• 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.
• Collaborative culture with access to engineering, data science, and design talent.
• Competitive compensation, learning budgets, and fast-track leadership pathways.