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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, 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/ML, strong problem-solving skills, and team leadership.
- Other info: Dynamic work environment with endless learning and growth opportunities.
The predicted salary is between 72000 - 108000 £ per year.
Role – AI Evangelist (Senior Technology Architect)
Technology: AI/ML/Gen AI, Data Science, Poly Cloud – Azure, AWS, GCP
Location: London – UK
Business Unit: TOPAZDLVRY
Compensation: Competitive (including bonus)
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.
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.
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.
Senior Technical Architect| AI Evangelist| London, UK employer: Infosys Limited
Contact Detail:
Infosys Limited 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 folks in the AI and tech scene. Attend meetups, webinars, or even local events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Gen AI and ML. This is your chance to demonstrate what you can do beyond just a CV. Share it on platforms like GitHub or your personal website.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI architecture. Think about how you’d tackle real-world problems and be ready to discuss your thought process. We want to see your problem-solving skills in action!
✨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, we love seeing candidates who are proactive about their job search.
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 AI/ML and any relevant projects you've worked on that align with our needs at StudySmarter.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your expertise in Gen AI, Agentic AI, and cloud platforms. We love seeing how you’ve applied your knowledge in real-world scenarios.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining the StudySmarter team!
How to prepare for a job interview at Infosys Limited
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Gen AI, Agentic AI, and the latest trends in AI/ML. Be ready to discuss specific projects you've worked on, especially those involving prompt engineering and model tuning. 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 with business, product, and engineering teams in the past. Highlight your stakeholder management skills and how you’ve driven cross-functional projects to success.
✨Prepare for Technical Questions
Expect technical questions related to AI frameworks, orchestration tools, and cloud platforms like Azure and AWS. Brush up on your knowledge of MLOps/LLMOps tools and be ready to explain how you've used them in real-world scenarios. This will demonstrate your technical prowess and problem-solving abilities.
✨Practice Your Presentation Skills
As you'll likely need to present solutions to clients, practice explaining complex AI concepts in a clear and engaging way. Prepare a mini-presentation or demo that showcases your ability to communicate effectively, as this is crucial for the role. Remember, clarity can set you apart from other candidates!
