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For Companies At a Glance
- Tasks: Lead the design and implementation of cutting-edge AI solutions for top clients across Europe.
- Company: Join Infosys, a dynamic tech company fostering innovation and collaboration.
- Benefits: Competitive salary with bonuses, plus opportunities for professional growth and development.
- Why this job: Shape the future of AI while working in a supportive and diverse environment.
- Qualifications: Experience in AI architecture, strong analytical skills, and team leadership.
- Other info: Be part of a learning culture that values creativity and teamwork.
The predicted salary is between 72000 - 108000 £ per year.
Job Description
Role – AI Evangelist (Senior Technology Architect)
Technology – AI/ ML/Gen AI, Data Science, Poly Cloud – Azure, AWS, GCP
Location – London, UK
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.
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
Besides the professional qualifications, we respect and place equal importance to the candidate’s personality which facilitates success in customer environments. Few traits we look for are:
- 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
Manager of Artificial Intelligence employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager of Artificial Intelligence
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI space. Attend meetups, webinars, or industry events. You never know who might be looking for someone just like you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Gen AI and Agentic AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it relates to the role of Senior Technology Architect. Tailor your message to highlight your expertise in AI trends and solutions.
✨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!
We think you need these skills to ace Manager of Artificial Intelligence
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the role of Manager of Artificial Intelligence. Highlight your experience with Gen AI, Agentic AI, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention your experience with AI frameworks, MLOps tools, and any cloud platforms you've worked with. We love seeing candidates who can demonstrate their hands-on experience in the field.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that highlights your key achievements and skills without unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Infosys
✨Know Your AI Stuff
Make sure you brush up on the latest trends in Gen AI and Agentic AI. Be ready to discuss specific frameworks and tools like LangGraph or OpenAI, and how you've used them in past projects. This shows you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've transformed complex business problems into analytical solutions. Think about specific scenarios where your input made a significant impact, especially in cross-functional teams. This will highlight your ability to collaborate and innovate.
✨Communicate Clearly
Practice articulating your thoughts clearly and concisely. You might be asked to present solutions or conduct demos, so being able to explain technical concepts in simple terms is crucial. Remember, it's not just about what you know, but how you convey it!
✨Be Ready for Team Dynamics
Since teamwork is key in this role, think about your experiences leading teams or working collaboratively. Be prepared to discuss how you engage with team members and manage stakeholder relationships. This will show that you value collaboration and can drive productivity.
