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About the role
- Design, develop, and deploy autonomous AI agent ecosystems using frameworks such as LangChain, AutoGen, CrewAI, and Semantic Kernel.
- Architect LLM-powered workflows involving multi-agent collaboration, decision logic, memory management, and external tool integration.
- Collaborate with consulting teams to align AI agent solutions with business goals and industry use cases across sectors (FSI, Retail, Manufacturing, etc.).
- Participate in RFI/RFP responses, creating high-impact solution overviews, architectural diagrams, and effort/cost estimations.
- Work closely with AI Strategists, Engagement Managers, and Domain SMEs to define solution blueprints, MVP scopes, and transformation roadmaps.
- Engage in client workshops, demos, and innovation showcases to articulate the potential of Agentic AI and its enterprise applications.
- Contribute to the development of reusable agent templates, accelerators, and reference architectures within Infosys’ AI frameworks.
- Stay current with GenAI advancements, toolchains, and research (LLMs, embeddings, vector DBs, agent planning/reasoning).
- Provide technical mentorship and hands-on support to junior consultants, helping shape internal capability development.
- Collaborate with cross-functional teams on AI governance, responsible AI practices, and integration into enterprise environments.
Requirements
- Bachelor’s or Master’s degree in Computer Science, AI, or related field. PhD preferred for architect-level roles.
- 8+ years of experience in AI/ML, including 5+ years as a Solution Architect and 4+ years of hands-on development with LLMs and autonomous AI agents.
- 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 pre-sales, 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.
- Hands-on exposure to cognitive architectures, planning-based agents, or reinforcement learning in real-world deployments.
- Experience integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs.
- Understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems.
Benefits
- Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology.
- Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths.
- Infosys is on the Germany’s top employers list for 2023.
- Management Consulting Magazine named us on their list of Best Firms to Work for.
- Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.
- We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonLangChainAutoGenCrewAISemantic KernelLLMsprompt engineeringagent memorytool callingautonomous task execution
Soft Skills
communicationconsultingcollaborationmentorshippresentation skillsclient engagementsolution alignmentinnovation showcasetechnical supportcross-functional teamwork
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in AIPhD in related field