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For Companies At a Glance
- Tasks: Lead AI projects, design innovative solutions, and collaborate with diverse teams.
- Company: Join Infosys, a dynamic tech company fostering creativity and growth.
- Benefits: Competitive salary, bonuses, and opportunities for professional development.
- Why this job: Shape the future of AI while making a real impact in a collaborative environment.
- Qualifications: Experience in AI architecture, strong analytical skills, and team leadership.
- Other info: Embrace a culture of learning and diversity with excellent career growth potential.
The predicted salary is between 43200 - 72000 £ per year.
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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
- Quality awareness
- Good verbal and written communication skills
- Transparency and Integrity
- Taking accountability
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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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
✨Network Like a Pro
Get out there and connect with people in the AI field! Attend meetups, webinars, or industry events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, experiences, and how you've tackled challenges in AI. This is your moment to shine and show them what you can bring to the table.
✨Tailor Your Approach
Every company is different, so make sure you tailor your conversations to fit their culture and needs. Research Infosys and think about how your skills align with their goals in AI. This will help you stand out as a candidate who truly gets it.
✨Apply Through Our Website
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 the team at Infosys.
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 Manager of Artificial Intelligence role. 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 Python, AI/ML frameworks, 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 necessary to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
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. Plus, it shows us you’re serious about joining our team at StudySmarter!
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 LangGraph or OpenAI models, as well as your experience with RAG pipelines and MLOps. This will show that you're not just familiar with the concepts but can also apply them.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've transformed complex business problems into analytical solutions. Think of examples where you collaborated with cross-functional teams to deliver integrated solutions. This will highlight your ability to work with various stakeholders and demonstrate your consulting skills.
✨Be Ready for Technical Questions
Expect technical questions that dive deep into your experience with AI architectures and model tuning. Practice explaining your thought process when designing AI interventions or scaling chatbots. Clear articulation of your technical expertise will impress the interviewers.
✨Demonstrate Your Leadership Qualities
Since this role involves leading a team, be prepared to share your experiences in guiding AI/software engineers. Discuss how you've driven productivity and cost optimisations in past projects. This will showcase your leadership style and ability to manage teams effectively.
