The Role
Leads enterprise AI solutioning from discovery and architecture through product roadmapping, delivery, client enablement, and knowledge transfer. Owns reusable AI platform capabilities, translates ambiguous requirements into scalable productized solutions, leads cross-functional squads, manages executive client communications, supports presales and commercial activities, and mentors solution consultants. Evaluates LLM, generative AI, agentic AI, RAG, NLP, analytics, and automation opportunities while developing solution accelerators and reference architectures.
Summary Generated by Built In
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
• 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
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.
Skills Required
- Proven experience managing or owning an AI/ML product or platform involving conversational AI, NLP, analytics, or intelligent automation
- Enterprise discovery and consulting experience, including leading workshops and translating ambiguous requirements into structured solution designs
- Hands-on experience creating BRDs, FRDs, SOWs, wireframes, and architecture specifications
- Deep understanding of AI/ML concepts, including NLP, knowledge graphs, intent models, sentiment analytics, and process automation pipelines
- Experience converting enterprise requirements into productized, reusable capabilities rather than bespoke project deliverables
- Experience leading cross-functional squads of 10 or more across engineering, data, design, and operations
- Proficiency with roadmapping and prioritization frameworks
- Experience with Agile delivery using Scrum or Kanban
- Excellent client-facing communication and presentation skills for C-suite and technical audiences
- Commercial awareness covering pricing models, effort estimation, unit economics, and SOW negotiation
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field
- 12 to 15 years of progressive experience in 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
- AI/ML, Product Management, or Agile certifications such as AIPMM, Pragmatic Institute, CSM, or SAFe
- Hands-on familiarity with LLM-based solutions, generative AI platforms, or agentic AI frameworks
- Experience building analytics dashboards and enterprise data visualization layers
- Process automation experience with KAPOW, Kofax, UiPath, or Automation Anywhere
- Startup or founding experience demonstrating 0-to-1 platform building
- Exposure to phygital, content-tech, or media-tech product domains
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The Company
What We Do
Flatworld Solutions is a global IT, business consulting, and outsourcing firm founded in 2004. As a diversified BPO and technology services provider, it supports over 18,000 clients across 100 countries. The company leverages automation and Generative AI to help enterprises streamline operations, enhance efficiency, and achieve transformative growth through a wide range of professional services and IT solutions.
