The Sales Solutions Architect is a quota-influencing,customer-facing, techno-functional role responsible for developing a deepunderstanding of customer context and challenges, designing AI-driven agenticworkflows, and supporting the sales cycle with compelling solution narratives,demos, and value-engineering activities.

You will partner closely with Business Development Managers toqualify opportunities, design workflow solutions, and demonstrate KAYA'scapability-led impact — translating ambiguous business problems into clear,demonstrable, AI-powered outcomes.

This role is critical to driving deal velocity, solution quality,and customer confidence in KAYA's platform, and offers a front-row seat to howleading enterprises are operationalizing agentic AI.

This section describes the profile, not just therequirements. We are as focused on who this person is and how they operate aswe are on what they have done.

CustomerDiscovery & Workflow Analysis

•         Lead deep-dive discoverysessions to understand business processes, systems landscapes, and operationalpain points.
•         Analyse current-state workflowsacross the in-focus business area(s), including data flows, handoffs, decisionpoints, and exception paths.
•         Translate customer challengesinto agentic workflow opportunities aligned with customer KPIs and measurablebusiness outcomes.

Solution Architecture

•         Design future-state agenticworkflow solutions, including AI-driven tasks, agent orchestrations,integrations, and human-in-the-loop checkpoints.
•         Create workflow maps, solutionarchitecture diagrams, data-flow diagrams, and demo flows tailored to eachcustomer's environment.
•         Partner with Product andEngineering on technical feasibility, integration design, and delivery-effortestimation.
•         Assess and recommendappropriate AI/LLM models, agent frameworks, and orchestration patterns foreach use case, balancing performance, cost, latency, and governancerequirements.

Pre-Sales Partnership

•         Work directly with BusinessDevelopment Managers throughout the sales process, from qualification throughclose.
•         Build tailored demos,interactive prototypes, and proofs of concept that bring agentic workflows tolife for prospective customers.
•         Articulate ROI, cost savings,cycle-time reductions, and broader value realization through structuredvalue-engineering frameworks and business cases.
•         Support RFPs/RFIs, security andcompliance reviews, technical evaluations, and competitive positioning.

Customer Engagement & Thought Leadership

•         Lead workshops, whiteboardsessions, and executive briefings that build conviction in agentic AI as astrategic capability.
•         Serve as a credible, trustedadvisor on applied AI, agentic workflows, responsible AI practices, andenterprise AI governance.
•         Educate customers on scalingagentic solutions across their enterprise, from first use case to platform-wideadoption.
•         Represent KAYA at industryevents, webinars, and customer roundtables as a subject-matter expert.

Enablement & Collaboration

•         Document standard workflows,reference architectures, and reusable assets (demo scripts, solution templates,ROI models).
•         Provide structured feedback toProduct on market requirements, competitive gaps, and emerging customer needs.
•         Enable smooth and successfulplatform deployment through meaningful expectation management and contextualknowledge transfer to Forward-Facing Developers.
•         Engage with designated GTMand/or Delivery Partners to enable pursuits and platform deployment.
•         Support onboarding and trainingof new GTM team members on KAYA's platform, positioning, and discoverymethodology.

Responsibilities

•         Deliver high-quality solutiondesigns that help convert pipeline into closed-won deals, while enabling sharpqualification and disqualification.
•         Accelerate sales cycles throughstrong architecture, discovery, and demo execution.
•         Maintain excellence in solutiondocumentation, knowledge management, and asset reusability across the team.
•         Support scalable deliverymodels for a growing customer base, in partnership with Delivery and Productteams.
•         Contribute to overall pipelinehealth and revenue targets through measurable influence on deal velocity andwin rates.

Requirements

•       5–10+ years of enterprise pre-salesexperience in the UK and/or EMEA, with a consistenttrack record of new-logo acquisition in complex, multi-stakeholder deals.
•       Experience solutioning enterprisetechnology platforms — AI/ML, data, automation,workflow, or enterprise SaaS — into large organizations.
•       Industry familiarity in atleast one of: Financial Services / BFS, Insurance,Healthcare and Life Sciences, Automotive, Energy & Utilities, Telecoms, orMedia.
•       Comfort selling platformsand capabilities, not just products — able toexplain agentic AI concepts including autonomous workflows, human-in-the-looporchestration, and governed execution in a way that resonates with bothtechnical and business buyers.
•       Strong discovery andqualification discipline — MEDDICC or MEDDPICCmethodology preferred.
•       Authorized to work in the UK without sponsorship.

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