AI Customer Engineer - Ridgefield Park - Cognizant

    Cognizant
    Cognizant Ridgefield Park

    18 hours ago

    Description
    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 consultativeAI Senior Customer Engineerto 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 intoMVPs, POCs, and commercially strong solutionsthat accelerate deal conversion.

    You will sit at the intersection ofAI 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

    • 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 clearsolution hypothesesand initial architectural logic.

    • 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.

    • 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.

    • 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 todeal conversionand 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+ yearsin AI/ML engineering, solution architecture, pre‑sales, or technical consulting.
    Strong expertise inGenAI, 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.

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