AI Customer Engineer

AI - Artificial Intelligence Customer Engineer Location: US Function: AI Sales Engineering / AI Business & Design About the Role We are looking for a highly skilled and consultative AI Senior Customer Engineer to help clients understand, shape, and activate the potential of AI in their business. This role partners closely with sales, industry specialists, engineering, and clients to turn priority AI use cases into MVPs, POCs, and commercially strong solutions that accelerate deal conversion. You will sit at the intersection of AI technology, solution architecture, and business value , guiding clients from earlyu2011stage ideation through to validated solution designs. This is a handsu2011on, highu2011impact role suited for a technical expert who thrives in ambiguous, fastu2011moving sales cycles. Key Responsibilities 1. Discovery, Ideation & Artu2011ofu2011theu2011Possible + Drive earlyu2011stage discovery sessions with clients and account teams. + Identify pain points, value levers, and highu2011impact AI opportunities. + Build u201cNorth Staru201d AI scenarios that illustrate meaningful business transformation. + Translate vague or complex client questions into clear solution hypotheses and initial architectural logic. 2. Solution Shaping & Architecture + Define endu2011tou2011end AI solution architectures, including LLM components, data/ML layers, integrations, and partner technologies. + Create multiple solution pathways (good/better/best) with documented trade-offs. + Conduct feasibility assessments, risk evaluations, and levelu2011ofu2011effort estimates. 3. Proposal Development & Client Engagement + Create compelling, clientu2011ready content: SoWs, proposals, architecture decks, value frameworks, and demo storylines. + Lead technical walkthroughs, deepu2011dives, and competitive differentiation discussions. + Refine solution narratives based on client feedback and market conditions. 4. Pursuit Orchestration & Crossu2011Functional Collaboration + Lead pursuit pods across Sales, Industry SMEs, AI Engineering, and Ecosystem Partners. + Integrate hyperscale and partner inputs into solution design and positioning. + Ensure solution readiness for delivery, including governance, risk alignment, and assumption tracking. + Oversee seamless transition from sales to delivery, ensuring continuity and clarity. Decision Rights & Influence Owns + Architecture design for highu2011value AI use cases. + Dealu2011level solution shaping, feasibility, risk assessment, and documentation. + Technical validation for proposals and Statements of Work. Influences + Deal strategy, competitive positioning, and proposal direction. + Prioritization of engineering and partner support during pursuits. + Partner selection and delivery model decisions. Key Performance Indicators + Contribution to deal conversion and solution progression. + Quality and competitiveness of solution designs. + Accuracy of estimation, risk identification, and technical validation. + Effectiveness of crossu2011functional orchestration and client engagement. Stakeholders You Will Work With Internal Stakeholders + AI Sales Specialists + Industry/Domain Specialists + AI Engineers & Data Architects + AI Business & Design + Delivery & Engagement Teams + Business Offerings & Pricing Teams + Ecosystem & Alliance Teams External Stakeholders + Client CIO, CTO, CDO, and Architecture teams + Client Business Leaders (CX, Finance, Operations, Digital, etc.) + Hyperscaleu2019s, LLM providers, and ISVs for cou2011sell and cou2011build motions Experience Required + 5+ years in AI/ML engineering, solution architecture, preu2011sales, or technical consulting. + Strong expertise in GenAI, LLMs, agent architectures, ML engineering, and enterprise integration patterns . + Experience leading ideation workshops and artu2011ofu2011theu2011possible sessions for technical and business stakeholders. + Proven track record shaping AI deals, producing SoWs/proposals, and designing POCs or MVPs. + Handsu2011on experience building prototypes during sales cycles. + Strong collaboration, stakeholder management, and communication skills. Key Competencies + Ideation & Conceptual Design u2014 ability to stretch client thinking and identify value creation. + Solutioning Excellence u2014 architecting scalable, feasible, highu2011value AI solutions. + AI/ML Technical Depth u2014 understanding of LLMs, data pipelines, MLOps, and agentu2011based patterns. + Commercial Acumen u2014 ability to assess tradeoffs, pricing, scoping, and ROI. + Crossu2011Functional Leadership u2014 leading multiu2011team pursuits and integrating complex inputs. + Client Storytelling u2014 simplifying technical complexity for business and technical audiences. + Risk & Governance Rigor u2014 strong discipline in documenting assumptions and mitigating risks. Why This Role Matters As an AI Senior Sales Engineer, you directly influence the success of multiu2011millionu2011dollar AI opportunities. You are the technical architect, the solution narrator, and the strategic advisor who turns possibilities into actionable, highu2011impact solutions that help clients scale AI responsibly and effectively. This is a highu2011visibility role with the opportunity to shape some of the most important AI deals in the Americas region.Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Created: 2026-02-26