Amdaris

AI Solutions Architect

Amdaris Bristol, England, United Kingdom

Software Development · 501-1,000 employees

9 h ago
software-architect Senior (5-10 yrs) Full-time United Kingdom
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About the role

Design and lead end-to-end AI-enabled solution architectures while acting as a trusted technical advisor to clients. Manage the full lifecycle of AI and software solutions from discovery and feasibility assessment through to delivery and deployment.

What they look for

Software architecture Cloud platforms Machine learning Generative AI API development Data engineering LLM technologies Stakeholder management Technical delivery Cloud-native solutions System integration Proof-of-concepts Requirements gathering Feasibility assessment Responsible AI Communication skills

Requirements

Requires proven experience in designing complex software and cloud-based solutions with hands-on expertise in AI, machine learning, and generative AI. Candidates must possess strong stakeholder management skills and the ability to lead client engagements from discovery to production.

Benefits

Matched pension Annual salary reviews 25 days holiday Private health insurance Eye care Electric car scheme Cycle to work scheme Enhanced parental leave 1 month work from EMEA policy Gym discounts

Full description

We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.

Role: AI Solutions Architect Location: Bristol HQ – Hybrid Model – 3 days p/w on site Salary: DOE

We are seeking an AI Solutions Architect to shape, build and deploy AI-enabled solutions directly alongside our clients. This is a hands-on, client-facing role that combines strategic architecture, software engineering and AI delivery expertise.

Working across both pre-sales and implementation, you will assess opportunities, design scalable architectures, build working solutions and lead the first delivery increments. You will act as a trusted technical advisor to clients, ensuring solutions are commercially viable, technically robust and capable of delivering measurable business outcomes.

Key Responsibilities

  • Design and lead end-to-end solution architectures that align with business requirements and enterprise standards.
  • Take technical ownership of AI and software solutions through design, build, integration, testing and deployment.
  • Build APIs, integrations, data pipelines and cloud-native solutions that enable scalable AI applications.
  • Evaluate, implement and optimise ML and LLM technologies, balancing performance, cost and risk.
  • Lead client discovery, requirements gathering and feasibility assessments to identify high-value AI opportunities. Act as a trusted technical advisor, guiding clients on architecture decisions and responsible AI adoption.
  • Own the technical elements of bids, proposals and proof-of-concepts, ensuring solutions are deliverable and commercially viable.
  • Collaborate closely with client stakeholders to translate business challenges into working solutions.
  • Stay at the forefront of emerging AI technologies and apply relevant innovations to client engagements

Skills & Experience

Essential

  • Proven experience designing and delivering complex software and cloud-based solutions.
  • Strong hands-on software engineering and integration experience.
  • Experience delivering AI, machine learning or generative AI solutions in production environments.
  • Strong understanding of system architecture, APIs, data engineering and cloud platforms.
  • Demonstrated ability to evaluate and implement ML/LLM technologies against business requirements.
  • Experience leading client engagements from discovery through to delivery.
  • Excellent stakeholder management and communication skills, with the ability to influence both technical and non-technical audiences.
  • Ability to operate autonomously and take ownership of technical delivery under broad direction.

Desirable

  • Previous experience as a Forward-Deployed Engineer, Solutions Engineer, Technical Delivery Lead or similar customer-facing role.
  • Experience building AI applications using modern LLM, agentic AI and retrieval-augmented generation (RAG) frameworks.
  • Bachelor's degree or equivalent commercial experience.
  • Cloud platform certifications (Azure, AWS or Google Cloud).
  • Architecture certifications such as TOGAF or equivalent.
  • Experience working in consulting, professional services or technology delivery environments.

Benefits

  • 6% Matched pension
  • Annual salary reviews
  • 25 days holiday + bank holidays + 5 day buy/sell/carry over scheme
  • Private Health Insurance through Vitality
  • Eye care
  • Electric car and cycle to work schemes
  • Enhanced parental leave
  • 1 month work from EMEA policy
  • Clear growth and progression plans
  • High street brand & gym discounts

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