Senior Solutions Architect (Data & AI)

About This Opportunity

We are representing a confidential enterprise data and AI platform organization in their search for a Senior Solutions Architect to serve their UKI Enterprise Retail and CPG accounts. This is a remote contract position based in the Leeds/Manchester area.

Our client is seeking an expert-level technical leader who can drive complex customer engagements, own executive relationships, and serve as a definitive technical authority. You'll operate at the intersection of deep technical expertise, strategic account planning, and executive influence.

Responsibilities

• Drive technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth
• Own senior-level technical relationships, serving as a trusted advisor on enterprise data and AI strategy
• Lead complex architecture engagements including multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale
• Develop and execute competitive strategies, positioning solutions against incumbent and emerging platforms
• Orchestrate cross-functional teams to deliver enterprise-grade solutions
• Coach and develop junior solutions architects on technical depth, customer engagement, and use case prioritization
• Contribute to thought leadership through customer-facing content, workshops, and community engagement

What We're Looking For

Required Qualifications:

• 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or senior customer-facing technical role
• Expert-level coding proficiency in Python, SQL, and ideally Spark/PySpark (live coding assessment required during interview process)
• Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms
• Expert-level knowledge of modern data and AI platforms with demonstrated ability to learn rapidly
• Declared technical specialization with recognized depth (e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions)
• Proven track record of driving consumption growth and platform adoption in large accounts
• Executive presence with ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy
• Experience leading competitive displacements and complex enterprise evaluations
• Strong strategic thinking connecting technical architecture decisions to business outcomes and revenue impact
• Bachelor's or Master's degree in Computer Science, Engineering, or quantitative discipline (or equivalent experience)

Nice to Have:

• Relevant platform certifications
• Prior experience at top-tier data/AI companies
• Published thought leadership (blogs, conference talks, open source contributions)
• Industry experience in Retail or Consumer Packaged Goods with executive-level domain credibility

How We Work With You

As your recruiting partner, Get A Job.ai will guide you through the entire process:

• Apply through the Get A Job.ai platform with your updated CV and relevant portfolio materials
• Our talent team will conduct an initial screening to understand your background and fit
• We'll prepare and submit your profile to our client for consideration
• If selected, you'll participate in the client's interview process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch Presentation → Reference Check
• Please do not contact the client directly; all communication should go through Get A Job.ai to ensure the best outcome for your candidacy

Pay

Compensation details will be discussed during the screening process and are competitive for senior-level solutions architecture roles in the UK market.

Equal Employment Opportunity: Get A Job.ai is committed to fostering diversity and inclusion. We consider all qualified applicants without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.