At a Glance
- Tasks: Lead the design of AI-driven software and transform enterprise processes across various industries.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with significant impact on cutting-edge projects and career advancement.
- Why this job: Be a key player in shaping the future of AI technology and digital transformation.
- Qualifications: Expertise in Generative AI, strong communication skills, and a collaborative mindset required.
The predicted salary is between 80000 - 100000 £ per year.
- AI Systems Technology Architect | London
- Job Title: AI Systems Technology Architect Work Location: London, UK Duration: Permanent
Role Summary
The Technology Architect – AI Systems will lead the design and adoption of AI-driven software engineering and agentic architectures to accelerate enterprise SDLC and enable next-generation digital transformation across multiple domains like Manufacturing, Retail, Finance, etc.
This role combines deep expertise in Generative AI, AI-assisted development, and multi-agent orchestration with strong architecture leadership.
The ideal candidate combines strong technical depth with product mindset, collaboration, and leadership.
The candidate should have technical consulting capabilities, Solutioning acumen, Domain knowledge on any of the industries where GEN AI is applied.
Candidate should be able to conduct value stream workshops in discovering the AI implementation scope and able to create architecture and detailed solutions.
Candidate should have excellent communication skills.
- Key Accountabilities
- Generative AI Leadership: Define enterprise-scale Generative AI strategy.
- AI-Driven SDLC Transformation: Architect AI-assisted development ecosystems using Git Hub Copilot, Amazon Q, Google Duet, Cursor, Devin; improve productivity, quality, and cost.
- Architecture & Platform Engineering: Define end-to-end Gen AI architectures across Azure, AWS, GCP, and build reusable assets.
- Design, develop, and deploy Physical AI solutions that enable autonomous interaction between AI models and physical systems such as robots, industrial equipment, drones, autonomous vehicles, or Io T-enabled devices.
- Build and optimize AI-driven perception, reasoning, planning, and control systems using computer vision, sensor fusion, reinforcement learning, digital twins, and real-time decision-making frameworks.
- Collaborate with robotics, engineering, and operations teams to integrate Generative AI, Agentic AI, and Physical AI capabilities for autonomous task execution, adaptive workflows, and human-machine collaboration.
- Stakeholder Advisory: Act as trusted advisor, support RFPs, proposals, and executive decision-making.
- Governance & Compliance: Establish AI governance frameworks and ensure regulatory compliance.
- Core Expertise
- Generative AI: Prompt Engineering, RAG, LLM APIs (Open AI, Azure Open AI, Gemini)
- AI Dev Tools: Git Hub Copilot, Amazon Q, Google Duet, Cursor, Devin
- Cloud: Azure, AWS, GCP; Microservices; Dev Ops
- Programming: Python, Java Script/Type Script
- Experience in enterprise-scale AI transformation programs
- Soft Skills
- Strong analytical, problem-solving, and communication abilities.
- Collaborative mindset with ability to work across product, engineering, and data teams.
- Thought leadership in driving AI adoption, innovation, and best practices.
- Experience supporting AI Co E initiatives and customer engagements
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