AI Solutions Architect

Rowden; West of England; Hybrid; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Flexible, hybrid-working model

Disability Confident Committed

Job summary

Rowden in Bristol, UK is seeking an AI Solutions Architect to join our growing AI capability. You will move beyond pure implementation to design AI pipelines, engage in customer-facing work, and shape end-to-end solutions with mentorship from senior architects.

You’ll help shape problem statements, design AI workflows, and support bids while maturing ownership over time in a flexible, hybrid environment that supports national security context.

Qualifications

• Hands-on experience as an AI or ML engineer with model training and deployment.
• Knowledge of agentic AI/LLM patterns, ML model serving, monitoring or data pipeline design.
• Ability to think beyond implementation and consider the wider system architecture.
• Strong written and verbal communication; able to explain concepts clearly.

Responsibilities

• Support design of end-to-end AI pipelines (data ingestion to deployment) under senior guidance.
• Assist in designing agentic AI systems, including tool orchestration and memory management.
• Integrate AI/ML solutions with existing platforms and applications.
• Develop expertise in the MLOps lifecycle (retraining cadences, versioning, drift detection, rollback).
• Contribute to technical proposals, diagrams, and solution docs for bids and pre-sales.
• Research tooling, platform and hosting options; communicate trade-offs for architectural decisions.
• Identify technical risks (data quality, drift, integration failure, AI safety).
• Collaborate with ML engineers, data engineers and SMEs to align constraints with designs.
• Understand scope, cost, planning and assurance across the programme lifecycle.
• Gradually own discrete solution components as experience grows.

Skills

Hands-on AI/ML engineer experience

Agentic AI & LLM patterns

Data pipeline design

MLOps practices

System-level architecture thinking

Clear written and verbal communication

Eligibility for SC clearance

Tools

MLOps tooling

Job description

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 as an AI or ML engineer. You have built, trained, and deployed models and understand what makes AI systems work in practice.
• Working knowledge of at least one of: agentic AI and LLM application patterns, ML model serving and monitoring, data pipeline design, or MLOps practices.
• Ability to think beyond implementation. You can ask “why are we building this?” and “how does this fit into the wider system?” as well as “how do we build it?”.
• Clear written and verbal communication. You can explain technical concepts to people who aren’t deeply in the weeds.
• Curiosity and a willingness to develop in areas outside your current specialism.
• Awareness of AI security and safety principles (e.g. secure data handling, access control, model risk), and a willingness to build this further given Rowden’s defence and national security context.
• Eligibility for SC clearance.

Desirable (not essential)

• Exposure to data platform patterns such as medallion or lakehouse architectures.
• Hands-on experience with MLOps tooling or model-serving infrastructure used to operationalise and scale ML systems.
• Any experience contributing to technical documentation, proposals, or solution designs, even informally.
• Familiarity with edge deployment constraints or resource-limited inference environments.
• Experience in secure, regulated, or government-adjacent environments.

About you

• You are technically grounded but starting to think beyond the code. You want to understand the full shape of a solution, not just your part of it.
• You communicate clearly and are comfortable articulating ideas to people at different levels.
• You are curious and self-directed. You don’t wait to be told what to learn next.
• You are humble about what you don’t know, and you actively seek to close those gaps.
• You want a role where you are developed, not just deployed.
• You are ready to engage with customers and stakeholders, even if that’s new territory, and you see it as an opportunity.

Working at Rowden

We are committed to building a flexible, inclusive, and enabling company. Our aim is to create a diverse team of talented people with unique skills, experience, and backgrounds.

We also recognise the importance of flexible working and support this wherever we can. We typically operate a flexible, hybrid-working model, with an average 3 days in the office each week (dependent on the role). We welcome the opportunity to discuss flexibility, part‑time working requirements and/or workplace adjustments with all our applicants.

Rowden is a Disability Confident Committed company, and we actively encourage people with disabilities and health conditions to apply for our roles.