AI Customer Engineer

Cognizant•Teaneck, NJ

10h

About The Position

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.

Requirements

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.

Responsibilities

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.
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.
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.
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.