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Agentic AI Architect

2 months ago
Poland
Full-time
Lead
AI Engineer
Software Development
AWS Azure GCP GPT LLM Machine Learning Python Reinforcement Learning Salesforce SAP
Apply Now
Infosys

Infosys

Infosys specializes in providing comprehensive consulting and IT services that facilitate digital transformation for clients across various industries, leveraging advanced technologies and innovative solutions to enhance business processes and drive me...

Internet Software & Services
100K+
Founded 1981
View All Jobs 17

Description

  • Design, develop, and deploy autonomous AI agent ecosystems using frameworks such as LangChain, AutoGen, CrewAI, and Semantic Kernel.
  • Architect LLM-powered workflows with multi-agent collaboration, decision logic, memory management, and external tool integration.
  • Collaborate with consulting teams to align AI solutions with business goals and sector-specific use cases.
  • Participate in RFI/RFP responses by creating solution overviews, architectural diagrams, and effort/cost estimates.
  • Work with AI Strategists, Engagement Managers, and Domain SMEs to define solution blueprints, MVP scopes, and transformation roadmaps.
  • Lead client workshops, demos, and innovation showcases to demonstrate enterprise Agentic AI applications.
  • Develop reusable agent templates, accelerators, and reference architectures within Infosys AI frameworks.
  • Stay current on GenAI advancements, including LLMs, embeddings, vector databases, and agent planning/reasoning approaches.
  • Provide technical mentorship and hands-on support to junior consultants and help build internal capability.
  • Collaborate on AI governance, responsible AI practices, and enterprise integration.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, AI, or a 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 Python experience and familiarity with orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar.
  • Deep knowledge of LLMs such as GPT, Claude, LLaMA, and Mistral, plus prompt engineering, agent memory, tool calling, and autonomous task execution.
  • Experience supporting pre-sales, RFP/RFI responses, and proposal creation in a consulting or enterprise services environment.
  • Understanding of enterprise solutioning with cloud platforms such as AWS, Azure, or GCP, along with API integration and data security best practices.
  • Exceptional communication and consulting skills with the ability to present 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 applications such as Salesforce, ServiceNow, SAP, or custom apps via APIs.
  • Preferred: understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems.

Benefits

  • Industry-leading compensation and benefits.
  • Top training and development opportunities.
  • Inclusive and entrepreneurial culture.
  • Global reach and the opportunity to work with market-leading brands across sectors.
  • Recognized employer with strong career paths and internal development support.

Interested in this position?

Apply directly on the company website

Apply Now

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