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Fractal

Growth Leader, AI Engineering, Strategic Accounts

Fractal

. Own the AI Engineering growth agenda, qualified pipeline, bookings, revenue, and profitable expansion across assigned strategic accounts .

Posted 10/21/2026full-timeUnited StatesSenior💰 $220,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI Engineering, cloud-native architecture, and enterprise transformation, with a strong focus on building trusted relationships with senior technology leaders and delivering complex, multi-million-dollar transformation programs. Proven ability to connect technical solutions to business outcomes and lead multidisciplinary teams effectively.

Highest-signal resume keywords
AI EngineeringCloud-Native ArchitectureEnterprise TransformationExecutive CommunicationCommercial Acumen

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data PlatformsMLOps/LLMOpsDevSecOpsMicroservicesAI GovernanceModel EngineeringLegacy TransformationIntegration APIsValue EngineeringProposal Development
Soft Skills
FacilitationStorytellingNegotiationInfluenceCoaching
Tools & Technologies
Cloud PlatformsAI PlatformsData LakesObservability ToolsTransformation Frameworks
Industry Keywords
CPGRetailData-Intensive EnterprisesDigital EngineeringTechnology Consulting

Tech Stack

Tools & technologies
CloudMicroservices

About the role

Key responsibilities & impact
  • Own the AI Engineering growth agenda, qualified pipeline, bookings, revenue, and profitable expansion across assigned strategic accounts
  • Develop trusted-advisor relationships with CIOs, CTOs, CDOs, business presidents, and senior technology leaders
  • Create executive-level points of view on AI-led transformation and enterprise modernization
  • Map account priorities, stakeholders, budgets, decision processes, and competitive positions into account and pursuit plans
  • Lead executive briefings, innovation sessions, modernization assessments, and co-creation workshops
  • Identify and shape initiatives across cloud modernization, AI/ML engineering, GenAI, agentic AI, application engineering, intelligent operations, and enterprise automation
  • Translate technology estates and business ambitions into multi-year roadmaps, value cases, target architectures, investment cases, and governance models
  • Advise on responsible AI, security, privacy, model risk, data governance, interoperability, and operating-model implications
  • Bring Fractal capabilities, platforms, accelerators, and industry solutions into coherent transformation propositions
  • Lead complex pursuits through qualification, proposal, solution architecture, value engineering, commercials, negotiations, and executive closure
  • Build business cases with metrics, benefits, investments, risks, dependencies, and paths from proof of value to production scale
  • Orchestrate consulting, AI, data, cloud, product, design, and engineering teams
  • Stay engaged through mobilization and critical delivery milestones
  • Turn successful pilots into reusable platforms and multi-business, multi-region programs
  • Build joint propositions and go-to-market motions with hyperscalers, data and AI platforms, and strategic technology partners
  • Create reusable modernization plays, reference architectures, narratives, blueprints, estimation models, and pursuit assets
  • Share market signals and client needs to shape AI Engineering offerings, investments, alliances, and talent priorities
  • Coach account, solution, and engineering leaders

Requirements

What you’ll need
  • 15+ years of experience in technology consulting, digital engineering, data and AI services, or enterprise transformation
  • Significant responsibility for growth in large strategic accounts
  • Demonstrated record of originating, shaping, and winning complex, multi-million-dollar or multi-year transformation programs with enterprise clients
  • Established credibility with CIOs, CTOs, CDOs, and senior business leaders
  • Strong understanding of cloud-native architecture, data platforms and Lakehouse patterns, APIs and integration, microservices, DevSecOps, platform engineering, MLOps/LLMOps, observability, and legacy transformation
  • Working depth in applied AI, GenAI, agentic systems, RAG, model and data engineering, AI governance, and secure, reliable production deployment
  • Ability to connect technical architecture and engineering choices to business outcomes, operating-model change, adoption, and quantified value cases
  • Strong commercial acumen across opportunity qualification, deal strategy, pricing, contracting, negotiation, risk management, and portfolio economics
  • Experience leading multidisciplinary, geographically distributed teams through influence in a matrixed organization
  • Excellent executive communication, facilitation, storytelling, and written proposal skills
  • Industry experience in CPG, Retail, or another data-intensive enterprise sector is preferred
  • Willingness to travel to client locations as required
  • Bachelor’s degree in engineering, Computer Science, Business, or a related field

Benefits

Comp & perks
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Disability plans
  • Benefits eligibility on the first day of employment
  • 401(k) Plan after 30 days of employment
  • 11 paid holidays
  • 12 weeks of Parental Leave
  • “Free time” PTO policy allowing flexibility for sick time or vacation