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 early stage ideation through to validated solution designs. This is a hands on, high impact role suited for a technical expert who thrives in ambiguous, fast moving sales cycles. Key Responsibilities 1. Discovery, Ideation & Art of the Possible Drive early stage discovery sessions with clients and account teams. Identify pain points, value levers, and high impact AI opportunities. Build "North Star" 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 end to end 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 level of effort estimates. 3. Proposal Development & Client Engagement Create compelling, client ready content: SoWs, proposals, architecture decks, value frameworks, and demo storylines. Lead technical walkthroughs, deep dives, and competitive differentiation discussions. Refine solution narratives based on client feedback and market conditions. 4. Pursuit Orchestration & Cross Functional 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 high value AI use cases. Deal level 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 cross functional 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.) Hyperscale's, LLM providers, and ISVs for co sell and co build motions Experience Required 5+ years

in AI/ML engineering, solution architecture, pre sales, or technical consulting. Strong expertise in

GenAI, LLMs, agent architectures, ML engineering, and enterprise integration patterns . Experience leading ideation workshops and art of the possible sessions for technical and business stakeholders. Proven track record shaping AI deals, producing SoWs/proposals, and designing POCs or MVPs. Hands on experience building prototypes during sales cycles. Strong collaboration, stakeholder management, and communication skills. Key Competencies Ideation & Conceptual Design

- ability to stretch client thinking and identify value creation. Solutioning Excellence

- architecting scalable, feasible, high value AI solutions. AI/ML Technical Depth

- understanding of LLMs, data pipelines, MLOps, and agent based patterns. Commercial Acumen

- ability to assess tradeoffs, pricing, scoping, and ROI. Cross Functional Leadership

- leading multi team pursuits and integrating complex inputs. Client Storytelling

- simplifying technical complexity for business and technical audiences. Risk & Governance Rigor

- strong discipline in documenting assumptions and mitigating risks. Why This Role Matters As an AI Senior Sales Engineer, you directly influence the success of multi million dollar AI opportunities. You are the technical architect, the solution narrator, and the strategic advisor who turns possibilities into actionable, high impact solutions that help clients scale AI responsibly and effectively. This is a high visibility role with the opportunity to shape some of the most important AI deals in the Americas region.