At a Glance
- Tasks: Lead AI-driven software design and transform enterprise SDLC across various industries.
- Company: Join Infosys, a global leader in digital services and consulting.
- Benefits: Enjoy competitive salary, remote work options, and continuous learning opportunities.
- Other info: Be part of an inclusive workplace that values diverse talent and innovation.
- Why this job: Shape the future of AI technology and make a real impact on digital transformation.
- Qualifications: Experience in AI systems, strong communication skills, and a collaborative mindset.
The predicted salary is between 80000 - 100000 £ per year.
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, and domain knowledge on any of the industries where GEN AI is applied. The candidate should be able to conduct value stream workshops in discovering the AI implementation scope and create architecture and detailed solutions. Excellent communication skills are essential.
Key Accountabilities
- Generative AI Leadership: Define enterprise-scale Generative AI strategy.
- AI-Driven SDLC Transformation: Architect AI-assisted development ecosystems using GitHub Copilot, Amazon Q, Google Duet, Cursor, Devin; improve productivity, quality, and cost.
- Architecture & Platform Engineering: Define end-to-end GenAI 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 IoT-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 (OpenAI, Azure OpenAI, Gemini)
- AI Dev Tools: GitHub Copilot, Amazon Q, Google Duet, Cursor, Devin
- Cloud: Azure, AWS, GCP; Microservices; DevOps
- Programming: Python, JavaScript/TypeScript
- 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 CoE initiatives and customer engagements.
About Infosys
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 59 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale, and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.
STA | AI Systems Technology Architect | London employer: Infosys
At Infosys, we pride ourselves on being an exceptional employer, particularly for the role of AI Systems Technology Architect in London. Our vibrant work culture fosters innovation and collaboration, providing employees with ample opportunities for professional growth and development in cutting-edge technologies like Generative AI. With a commitment to diversity and sustainability, we create an inclusive environment where every team member can thrive while contributing to transformative projects across various industries.
StudySmarter Expert Advice🤫
We think this is how you could land STA | AI Systems Technology Architect | London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Infosys or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Infosys.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Infosys.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Infosys that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace STA | AI Systems Technology Architect | London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Infosys.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Infosys and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Infosys
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Infosys uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
