Infosys

AI Agent Engineer – Consultant / Senior Consultant

Infosys

full-time

Posted on:

Origin:  • 🇬🇧 United Kingdom

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonServiceNow

About the role

  • Infosys Consulting is at the forefront of applied AI innovation, delivering real-world business value through AI agents, machine learning, and modern enterprise architecture.
  • Design and implement AI agents using LangChain, CrewAI, or AutoGen for enterprise-grade use cases.
  • Develop modular code for task decomposition, memory handling, and tool integration with APIs.
  • Collaborate with AI strategists and architects on project design and MVP delivery.
  • Conduct testing and fine-tuning of agent behavior using LLM APIs and embeddings.
  • Participate in internal code reviews, documentation, and reusable framework building.
  • Support pre-sales demos and client innovation sessions with hands-on prototypes.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, AI, or related field (PhD preferred for architect-level roles).
  • 4+ years in AI/ML, with recent experience in agentic systems and hands-on development of LLM-based applications.
  • Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar.
  • Deep knowledge of LLMs (GPT, Claude, LLaMA, Mistral, etc.), prompt engineering, agent memory, tool calling, and autonomous task execution.
  • Experience with RFP/RFI support, and proposal creation in a consulting or enterprise services environment.
  • Understanding of enterprise solutioning with cloud platforms (AWS, Azure, GCP), API integration, and data security best practices.
  • Exceptional communication and consulting skills, with the ability to present solutions to both technical and non-technical stakeholders.
  • Preferred: Hands-on exposure to cognitive architectures, planning-based agents, or reinforcement learning in real-world deployments.
  • Preferred: Experience integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs.
  • Preferred: Understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems.