AI Solution Architect

Tenth Revolution Group

England

Hybrid

GBP 90,000 - 110,000

Full time

32 hours ago
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Benefits offered by this job

Flexible and hybrid working
AI-focused training
Career progression opportunities

Job summary

Tenth Revolution Group, in partnership with a leading technology consultancy, is seeking an AI Solution Architect to lead design and delivery of enterprise AI solutions for clients. This role blends strategic consulting, technical leadership and hands-on solution design to shape AI-enabled business capabilities.

You will design Agentic AI, Generative AI and autonomous workflows, translate complex business problems into scalable architectures, and collaborate with client teams.

Qualifications

  • Strong experience within Solution Architecture environments.
  • Recent experience focused on AI, Generative AI or Agentic AI solutions.
  • Hands-on experience with AI architectures and cloud-based AI services.

Responsibilities

  • Design and deliver enterprise-scale Agentic AI and Generative AI solutions.
  • Lead architecture and implementation of autonomous and multi-agent systems.
  • Collaborate with business and technology teams to integrate AI capabilities into enterprise applications.
  • Provide architecture guidance and technical leadership to engineering teams.
  • Demonstrate AI solutions and articulate business value to senior client stakeholders.

Skills

Solution Architecture
Generative AI
Agentic AI
RAG architecture
AI agents

Tools

AWS Bedrock
AWS Lambda
Step Functions

Job description

We are partnering with a leading technology consultancy that is at the forefront of enterprise AI innovation, helping organisations unlock value through Generative AI, Agentic AI and intelligent automation solutions.

As part of significant growth within its AI practice, the business is looking to appoint an AI Solution Architect to lead the design and delivery of cutting‑edge AI solutions for enterprise clients. This is an excellent opportunity for an experienced Architect to combine strategic consulting, technical leadership and hands‑on solution design while shaping the next generation of AI‑enabled business capabilities.

Working closely with clients, technical teams and business stakeholders, you will be responsible for architecting and delivering production‑grade Agentic AI solutions, intelligent assistants and autonomous workflows. You will play a key role in translating complex business challenges into scalable AI architectures while driving innovation and best practice across multiple engagements.

Key Responsibilities

  • Design and deliver enterprise‑scale Agentic AI and Generative AI solutions
  • Lead the architecture and implementation of autonomous and multi‑agent systems
  • Design AI‑powered assistants, intelligent workflows and RAG‑based solutions
  • Collaborate with business and technology teams to integrate AI capabilities into enterprise applications
  • Provide architecture guidance and technical leadership to engineering teams
  • Demonstrate AI solutions and articulate business value to senior client stakeholders
  • Evaluate emerging AI technologies, frameworks and industry trends

Skills & Experience

  • Strong experience within Solution Architecture environments
  • Recent experience focused on AI, Generative AI or Agentic AI solutions
  • Strong knowledge of AWS Bedrock, Lambda, Step Functions and related services
  • Experience designing AI agents, multi‑agent systems and intelligent workflow automation
  • Hands‑on experience with RAG architecture and AI‑powered assistants
  • Knowledge of LangGraph or similar agent orchestration frameworks

What's on Offer

  • Salary up to £100,000
  • Opportunity to work on large‑scale Agentic AI and Generative AI initiatives
  • Exposure to the latest AI technologies, frameworks and cloud platforms
  • Significant influence over AI strategy, architecture and solution delivery
  • Collaborative environment with strong investment in innovation and emerging technologies
  • Clear progression opportunities within a rapidly growing AI practice
  • Flexible and hybrid working arrangements
  • Ongoing professional development and AI‑focused training opportunities
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