Lead – AI Solutions
Flatworld Solutions
Pay not stated in the posting
Found 5 days ago · Confirmed live 20 hours ago
Skills this job asks for
- Backlog Management
- Business Process Automation
- Prototyping
- Wireframes
- AI & ML
- AI/ML Product Management
- Business Requirements Document
- Cross-Selling
- Pricing Modeling
- Scrum
- Sprint Planning
- UiPath
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At a glance
- Type
- Not stated
- Level
- Lead
- Experience
- 12-15 years
- Work model
- Not stated
- Schedule
- Not stated
- Education
- Bachelor's degree
- Benefits
- Not stated
Description
About Flatworld Solutions Flatworld Solutions is a leading IT and business services company delivering end-to-end technology solutionsacross software development, data management, AI/ML, and digital transformation. Our AI Solutioning team is theengine behind intelligent products and platform-driven engagements — translating enterprise challenges intoscalable, AI-powered outcomes for clients worldwide.
Role SummaryWe are looking for a Lead – AI Solutions to own the end-to-end AI solution lifecycle: from early-stage enterprisediscovery 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 theintersection of AI product thinking, client consulting, and delivery orchestration.
The ideal candidate has built or managed AI/ML platforms (conversational AI, NLP, analytics), run enterprisediscovery with large clients, and translated ambiguous requirements into shipped product capability — notbespoke services. You are a 0-to-1 thinker who can also operate at scale.
Key ResponsibilitiesA. Enterprise Discovery & AI Solution Design• Lead discovery workshops with enterprise clients to understand business processes, pain points, andautomation opportunities across diverse industry verticals.• Design AI solution architectures mapping client needs to platform capabilities — conversational AI, NLPpipelines, analytics dashboards, process automation, and intelligent workflows.• Create As-Is / To-Be process maps, solution blueprints, and conceptual prototypes that articulate the AIvalue 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 sequencereleases aligned with client outcomes and internal platform capabilities.• Translate enterprise requirements into productized features rather than one-off customizations; buildreusable, 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 deliveryenvironments.C. Client Delivery & Cross-Functional Orchestration• Act as the primary solution owner across the engagement lifecycle — ensuring continuity from pre-salesthrough 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 steeringcommittee presentations.• Drive productization of repeating client patterns into reusable platform modules, reducing delivery effortfor 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-informedsolution proposals.E. AI Practice Building & Thought Leadership• Contribute to building Flatworld’s reusable AI solution accelerators, reference architectures, and proposaltemplates.• Mentor junior business analysts and solution consultants on discovery techniques, documentationstandards, and client communication.• Stay current with AI/ML trends (LLMs, Generative AI, Agentic AI, RAG architectures) and evaluateapplicability to client engagements.• Represent the AI Solutioning team in pre-sales pursuits, RFP responses, and industry events.
RequirementsRequired 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 fromambiguous briefs, and translate them into structured solution designs.• Hands-on experience with solution documentation — BRD, FRD, SOW, wireframes, and architecturespecifications.• Deep understanding of AI/ML concepts: NLP, knowledge graphs, intent models, sentiment analytics, andprocess automation pipelines.• Experience converting enterprise requirements into productized capabilities (not just bespoke projectdelivery).• 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 relatedfield.• 12 – 15 years of progressive experience spanning product management, AI/ML solutioning, and enterprisedelivery.• Prior experience at an AI product company, analytics firm, or IT services organization with an AI practice isstrongly preferred.• Certifications in AI/ML, Product Management (e.g., AIPMM, Pragmatic Institute), or Agile (CSM, SAFe) area 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.
BenefitsWhat 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.
About Flatworld Solutions
Flatworld Solutions