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- Tasks: Shape the future of AI by designing innovative solutions for top clients across Europe.
- Company: Join Infosys, a global leader in digital services and consulting.
- Benefits: Enjoy competitive pay, bonuses, and a culture that values your ideas.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Experience in AI architecture and strong collaboration skills required.
- Other info: Dynamic work environment with endless learning and growth opportunities.
The predicted salary is between 72000 - 108000 £ per year.
Senior Technical Architect | AI Evangelist | London, UK
Join to apply for the Senior Technical Architect | AI Evangelist | London, UK role at Infosys
Infosys invites applications for the Senior Technical Architect | AI Evangelist position in London, UK. This role is a Senior Technology Architect within the Topaz Unit, focusing on shaping Gen AI/Agentic AI ecosystems for esteemed clientele in Europe.
Job Description
Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.
At Infosys, we assure that your career will never stand still, we will inspire you to build what’s next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.
Your Role
In the role of a Senior Technology Architect within Topaz Unit, you will be one of the chief architects shaping the Gen AI/Agentic AI ecosystems for our esteemed clientele in Europe (including UK). You will play a vital role in researching AI trends, designing and defining AI models and frameworks, carving out solutions specific to client needs and driving efficiencies and business benefits. In the process, you will also be collaborating and working closely with business, product and engineering teams, across geographies. You will also guide the teams technically. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Skills
- Experience of architecting and solutioning in Gen AI, Agentic AI, classic ML and automation space
- Experience and good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability
- Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS etc.).
- Experience in architecting and scaling GenAI chatbots
- Experience in Agentic AI solutions. Good knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI) and orchestration tooling (MCP Servers) in at least 1 Hyperscaler
- Design AI interventions (GenAI, Agentic AI, ML) for application support, monitoring, and business ops.
- Good understanding of Responsible AI principles
- Ability to design enterprise level AI/Gen AI platform/solutions with client’s existing enterprise stack. Conversant with end-to-end Generative and Agentic AI solutions for enterprise use cases. Design familiarity with multi-agent systems capable of reasoning, planning, and executing tasks autonomously.
- Evaluate and select appropriate models, frameworks, and orchestration tools.
- Ability to transform business problems into analytical solutions, fostering cross functional collaboration between various stakeholders like business, data science and engineering and building integrated solutions
- Strong articulation, stakeholder management and consulting skills
- Experience working on client proposals – RFI/RFP/Orals stages
- Experience in solution presentations to client stakeholders; conduct demos and workshops.
- Experience leading team of AI/ software engineers
- Experience driving productivity and cost optimisations
- Skills: Python with AI/ML frameworks (PyTorch, TensorFlow). Prompt Engineering, Langchain, Langsmith/ Langfuse, Gen AI / Agentic AI, Cloud platforms (Azure AI Foundry, AWS Sagemaker/Bedrock, GCP Vertex AI), MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).
Preferred Skills
- Delivered AI projects within Agile frameworks
- Experience on Model Feedback Analysis, topic modelling, sentiment analysis
- Knowledge of AgentOps and OpenTelemetry
- Understanding of Network Security Concepts, Network Telemetry and Analytics
- Understanding of Cloud computing and Virtualization
- Exposure to APM/Observability tools (Dynatrace, AppDynamics, Datadog, Splunk etc)
- Exposure to onshore-offshore model working with professionals spread across the globe
- Participation in AI events, workshops and summits
Personal Qualities
- High analytical skills
- A high degree of initiative, flexibility and adaptability
- High customer orientation
- Good team engaging skills
- Quality awareness
- Good verbal and written communication skills
- Transparency and Integrity
- Taking accountability
About Topaz CoE
Topaz Centre of Excellence is the Central AI and automation evangelisation unit at Infosys. Our vision is to enable Infosys towards delivering exponential value to customers through AI driven differentiation across all horizontal and vertical services, leveraging our internal as well as our partner capabilities. We enable Infosys towards an AI First Organization and to establish Infosys as a Market Leader in AI and Gen AI space. We help clients define roadmaps and realize productivity gains and business benefits through Automation, AI and Gen AI. Our AI‑first set of services, solutions and platforms using generative AI technologies help amplify the potential of humans, enterprises and communities to create value from unprecedented innovations, pervasive efficiencies and connected ecosystems. We bring the advantage of 12,000+ AI assets, 150+ pre‑trained AI models, 10+ AI platforms steered by AI‑first specialists and data strategists, and a ‘responsible by design’ approach that is uncompromising on ethics, trust, privacy, security and regulatory compliance.
About Infosys
Infosys is a global leader in next‑generation digital services and consulting. We enable clients in over 50 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through the many next of their digital journey. We do it by enabling the enterprise with an AI‑powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always‑on learning agenda drives their continuous improvement through building and transferring digital skills, expertise and ideas from our innovation ecosystem.
Visit https://www.infosys.com to see how Infosys can help your enterprise navigate your next.
All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Engineering and Information Technology
Industries
IT Services and IT Consulting
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Senior Technical Architect| AI Evangelist| London, UK employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Technical Architect| AI Evangelist| London, UK
✨Tip Number 1
Network like a pro! Attend AI and tech meetups, webinars, or conferences in London. It's a great way to meet industry folks and get your name out there. Plus, you never know who might be looking for someone with your skills!
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your projects in Gen AI and Agentic AI. Share it on LinkedIn or your personal website. This not only highlights your skills but also gives potential employers a taste of what you can do.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by doing mock sessions with friends or mentors. Focus on articulating your experience with AI frameworks and solutions clearly. The more comfortable you are, the better you'll perform when it counts.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. So, go ahead and take that step!
We think you need these skills to ace Senior Technical Architect| AI Evangelist| London, UK
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with Gen AI and Agentic AI. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills: Since this is a Senior Technical Architect position, it’s crucial to emphasise your expertise in AI/ML frameworks and cloud platforms. Include specific examples of your work with tools like Python, TensorFlow, or Azure to really stand out.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your achievements and experiences, as we appreciate transparency and clarity in communication.
Apply Through Our Website: We encourage you to submit your application through our website for the best chance of being noticed. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at Infosys
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI, Agentic AI, and the latest trends in AI/ML. Be ready to discuss specific frameworks and tools like OpenAI, Hugging Face, and MLOps pipelines. Showing that you're up-to-date will impress the interviewers!
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've transformed complex business problems into analytical solutions. Think about times when you collaborated with cross-functional teams and how you drove efficiencies. Real-life examples will help demonstrate your capabilities.
✨Communicate Clearly
Strong verbal and written communication skills are key for this role. Practice articulating your thoughts clearly and concisely, especially when discussing technical concepts. You might even want to do a mock presentation to get comfortable with explaining your ideas.
✨Be Ready for Team Dynamics
Since teamwork is crucial, be prepared to discuss your experience leading teams and engaging with stakeholders. Highlight your ability to foster collaboration and how you’ve navigated challenges in team settings. This will show that you can thrive in their learning culture.
