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AI Solutions Architect

Rowden
4 days ago
Full-time
Remote friendly (Filton, England, United Kingdom)
United Kingdom
£70,000 - £100,000 GBP yearly
Solutions Architect

AI Solutions Architect

Department: Engineering

Employment Type: Permanent - Full Time

Location: Bristol, UK

Reporting To: Alistair Rogers

Compensation: £70,000 - £100,000 / year


Description

We're building the UK's next generation engineering powerhouse, providing critical technology that strengthens national security and resilience. 

We specialise in turning advances in sensing, AI, and communications into operational capability for the edge, where connectivity may be degraded or denied. Our work focuses on accelerating the deployment of technology, improving decision-making for frontline teams, and protecting people and critical assets in demanding environments. 

Headquartered in Bristol, Rowden employs around 200 people and operates over 20,000 square feet of engineering and manufacturing facilities. We have a growing international footprint and are one of Europe's fastest-growing engineering businesses.

About the role

We are looking for an AI Solutions Architect to join our growing AI capability, designed for a capable AI or ML engineer who wants to move beyond pure implementation and start thinking at a systems and solution level.

You will work alongside senior architects on live programmes and pre-sales engagements. You will get structured exposure to the full arc of solution architecture, from shaping problem statements and designing AI pipelines through to supporting bids and engaging with customers, with direct mentorship and increasing ownership over time.

This is not a research role or a pure engineering role. It suits someone who is technically strong, curious about how AI systems fit into larger operational contexts, and ready to start thinking about how solutions are designed, communicated, and delivered, not just built.

Candidates must be eligible for SC clearance. 

More information about security clearance is available here: https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels

Key areas of responsibility

  • Support the design of end-to-end AI pipelines, from data ingestion and feature engineering through to model training, evaluation, deployment, and monitoring, contributing technical input and developing architectural judgement under senior guidance.
  • Assist in the design and documentation of agentic AI systems, including tool use, orchestration, memory/context management, and LLM integration patterns.
  • Support the integration of AI & ML solutions into wider systems, working with engineering teams to ensure AI components connect reliably with existing platforms and applications.
  • Develop in-depth knowledge of the MLOps lifecycle, including retraining cadences, model versioning, drift detection, and rollback procedures, to support robust and reliable production AI systems.
  • Contribute to technical proposals, architecture diagrams, and solution documentation for bids and pre-sales engagements, working closely with senior architects.
  • Research and assess tooling, platform, and hosting options, summarising trade-offs clearly to inform architectural decisions.
  • Support the identification of technical risks in AI solutions, including data quality issues, model drift, integration failure modes, and AI security and safety considerations.
  • Work with ML engineers, data engineers, and domain SMEs to understand specialist constraints and incorporate them into solution designs.
  • Develop your understanding of how AI solutions are scoped, costed, planned, and assured across the programme lifecycle.
  • Gradually take on more ownership of discrete solution components as confidence and experience grow.

Key skills, experience and behaviours

We are looking for someone with solid AI and ML engineering foundations who is ready to start applying that knowledge at a higher level. We value potential and appetite as much as prior experience in architecture.

Essential
  • Hands-on experience