Senior Technical Architect| AI Evangelist| London, UK - Infosys Limited

Description

Senior Technical Architect | AI Evangelist | London, UK

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 DescriptionToday, 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 roleIn 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 CoETopaz 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 InfosysInfosys 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.

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