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For Companies At a Glance
- 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, flexible work options, and continuous learning opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact in a dynamic environment.
- Qualifications: Experience in AI architecture and strong collaboration skills are essential.
- Other info: Join a diverse team that values creativity and offers excellent career growth.
The predicted salary is between 72000 - 108000 £ per year.
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
- 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
- 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
- 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,+ AI assets, + 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.
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.
Senior Technical Architect| AI Evangelist| London, UK employer: ITL UK
Contact Detail:
ITL UK 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! Get out there and connect with people in the industry. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to Gen AI and Agentic AI. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to the role. Think about how your experience aligns with the job description and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our amazing team at Infosys.
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 for the Senior Technical Architect role. Highlight your experience with Gen AI and Agentic AI, and show us how your skills align with what we're looking for.
Showcase Your Projects: Include specific examples of projects you've worked on that relate to AI solutions. We want to see how you've tackled challenges and delivered results, especially in areas like MLOps and AI observability.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at ITL UK
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI and Agentic AI frameworks. Be ready to discuss specific projects you've worked on, especially those involving prompt engineering and MLOps. This will show that you’re not just familiar with the concepts but have practical experience too.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your ability to engage with stakeholders and how you’ve transformed business problems into analytical solutions through teamwork.
✨Prepare for Technical Questions
Expect some deep technical questions related to AI models, frameworks, and orchestration tools. Brush up on your Python skills and be ready to discuss your experience with AI/ML frameworks like PyTorch and TensorFlow. Practising coding challenges can also help you feel more confident.
✨Demonstrate Your Passion for AI
Let your enthusiasm for AI shine through during the interview. Talk about any AI events or workshops you've attended and how they’ve influenced your work. This shows that you’re not just looking for a job, but are genuinely invested in the field and eager to contribute to the company’s vision.
