Solutions Architect; AI

As our Solutions Architect, you are an active contributor to our product/service deliveries. Using these delivery experiences to inform direction, you will own and evolve the technical foundations that underpin product and service delivery, including engineering standards, development patterns and frameworks, CI/CD pipelines, testing harnesses, observability, and operational practices.

Your focus will be on enabling a fast-moving, AI-first delivery team to consistently deliver high-quality, scalable, and supportable solutions without needing to rebuild core foundations for every delivery cycle.

In this varied role, you will:

• actively contribute hands-on towards ongoingdeliveries
• own and versiontechnical foundations across all seven harness dimensions (security, performance, coding style, UI/UX baselines, logging and observability, testing) so that every deliverable inherits secure, observable and tested defaults
• build and maintain the shared CI/CD pipelines and release governance so that standards are enforced automatically, and DORA metrics are produced from the pipeline itself
• own the light-touch technical governance model - automated gates over committee review
• ensure observability is instrumented from the first commit through to live running so that everything the team ships can be operated and handed over to a receiving product team
• own the design and hands-on running of the delivery stack end to end - application architecture, containerisation, virtualisation, networking and deployment topology - so that what the team builds can be stood up, scaled and supported in the Azure estate without external dependency
• shape deliveries as one of three leads, testing technical feasibility and setting the no-gos, so that committed work stays inside its appetite
• represent the team's technical position in assurance, security and enterprise architecture conversations
• proactively track industry trends, emerging tools and agentic engineering practice, and self-initiate the learning needed to apply them - trialling promising techniques and approaches in cooldown and sharing what works back into the harness, rules files and skills library.

We are looking for:

• deep, current full stack engineering capability with hands-on delivery in a CI/CD ecosystem using infrastructure as code approaches
• practical coding experience in Python and JavaScript/Type Script, with enough fluency to work across back-end services, front-end interfaces and automation scripting
• sound stack design judgement, with working knowledge of containerisation, virtualisation and networking sufficient to design, deploy and troubleshoot applications across Azure environments
• proven ownership of CI/CD pipelines, infrastructure-as-code, release governance and DORA-based delivery measurement
• strong grounding in security (secret management, dependency and static analysis scanning, least-privilege IAM), observability (structured logging, tracing and metrics) and test and evaluation automation
• practical experience of AI-first, agentic software delivery - rules files, known-good templates, curated skills libraries and evaluation harnesses for AI-generated output
• ability to codify standards as machine-readable scaffolding rather than documentation, and to balance light-touch governance against delivery speed
• credibility to represent the team's technical position with enterprise architecture, security and assurance functions
• expertise in designing and/or implementing generative AI systems, including agentic systems, RAG pipelines, tool-use patterns, and modeladaptation strategies
• breadth of knowledge across modern AI technologies, including generative models, deep learning, and predictive ML.

• A combined pension…