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Salary
≈ $100k – $176k per year (Estimated)
Location
In office (London)
Seniority
Architect · 5+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Oct 3, 2026.

Overview
Company
Impact
Profile match
Kaya is the Enterprise AI Execution Platform for business-critical processes — operational advantage through governed AI execution.

The Sales Solutions Architect is a quota-influencing,

customer-facing, techno-functional role responsible for developing a deep

understanding of customer context and challenges, designing AI-driven agentic

workflows, and supporting the sales cycle with compelling solution narratives,

demos, and value-engineering activities.

You will partner closely with Business Development Managers to

qualify opportunities, design workflow solutions, and demonstrate KAYA's

capability-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 how

leading enterprises are operationalizing agentic AI.

This section describes the profile, not just the

requirements. We are as focused on who this person is and how they operate as

we are on what they have done.

Customer Discovery & Workflow Analysis

  • Lead deep-dive discovery

sessions to understand business processes, systems landscapes, and operational

pain points.

  • Analyse current-state workflows

across the in-focus business area(s), including data flows, handoffs, decision

points, and exception paths.

  • Translate customer challenges

into agentic workflow opportunities aligned with customer KPIs and measurable

business outcomes.

Solution Architecture

  • Design future-state agentic

workflow solutions, including AI-driven tasks, agent orchestrations,

integrations, and human-in-the-loop checkpoints.

  • Create workflow maps, solution

architecture diagrams, data-flow diagrams, and demo flows tailored to each

customer's environment.

  • Partner with Product and

Engineering on technical feasibility, integration design, and delivery-effort

estimation.

  • Assess and recommend

appropriate AI/LLM models, agent frameworks, and orchestration patterns for

each use case, balancing performance, cost, latency, and governance

requirements.

Pre-Sales Partnership

  • Work directly with Business

Development Managers throughout the sales process, from qualification through

close.

  • Build tailored demos,

interactive prototypes, and proofs of concept that bring agentic workflows to

life for prospective customers.

  • Articulate ROI, cost savings,

cycle-time reductions, and broader value realization through structured

value-engineering frameworks and business cases.

  • Support RFPs/RFIs, security and

compliance reviews, technical evaluations, and competitive positioning.

Customer Engagement & Thought Leadership

  • Lead workshops, whiteboard

sessions, and executive briefings that build conviction in agentic AI as a

strategic capability.

  • Serve as a credible, trusted

advisor on applied AI, agentic workflows, responsible AI practices, and

enterprise AI governance.

  • Educate customers on scaling

agentic solutions across their enterprise, from first use case to platform-wide

adoption.

  • Represent KAYA at industry

events, 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 to

Product on market requirements, competitive gaps, and emerging customer needs.

  • Enable smooth and successful

platform deployment through meaningful expectation management and contextual

knowledge transfer to Forward-Facing Developers.

  • Engage with designated GTM

and/or Delivery Partners to enable pursuits and platform deployment.

  • Support onboarding and training

of new GTM team members on KAYA's platform, positioning, and discovery

methodology.

Responsibilities

  • Deliver high-quality solution

designs that help convert pipeline into closed-won deals, while enabling sharp

qualification and disqualification.

  • Accelerate sales cycles through

strong architecture, discovery, and demo execution.

  • Maintain excellence in solution

documentation, knowledge management, and asset reusability across the team.

  • Support scalable delivery

models for a growing customer base, in partnership with Delivery and Product

teams.

  • Contribute to overall pipeline

health and revenue targets through measurable influence on deal velocity and

win rates.

Requirements

  • 5-10+ years of enterprise pre-sales

experience in the UK and/or EMEA, with a consistent

track record of new-logo acquisition in complex, multi-stakeholder deals.

  • Experience solutioning enterprise

technology platforms - AI/ML, data, automation,

workflow, or enterprise SaaS - into large organizations.

  • Industry familiarity in at

least one of: Financial Services / BFS, Insurance,

Healthcare and Life Sciences, Automotive, Energy & Utilities, Telecoms, or

Media.

  • Comfort selling platforms

and capabilities, not just products - able to

explain agentic AI concepts including autonomous workflows, human-in-the-loop

orchestration, and governed execution in a way that resonates with both

technical and business buyers.

  • Strong discovery and

qualification discipline - MEDDICC or MEDDPICC

methodology preferred.

  • Authorized to work in the UK without sponsorship.
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