Agentic AI Architect

Infosys Consulting; Poland; On-site; PLN 120,000 - 150,000; Full time

Job summary

Infosys Consulting is seeking experienced professionals in Poland to design and deliver AI agent ecosystems. Candidates should possess a minimum of 8 years in AI/ML and strong skills in Python, along with a bachelor's degree or higher in a related field.

This role involves collaborating with teams to create solution blueprints and engaging in client workshops to showcase the applications of Agentic AI in various sectors.

Qualifications

• 8+ years of experience in AI/ML, including 5+ years as a Solution Architect.
• 4+ years of hands-on development with LLMs and autonomous AI agents.
• Deep knowledge of LLMs and prompt engineering.

Responsibilities

• Design, develop, and deploy autonomous AI agent ecosystems.
• Architect LLM-powered workflows with multi-agent collaboration.
• Collaborate with consulting teams to align solutions with business goals.

Skills

Python

LangChain

LlamaIndex

Semantic Kernel

AutoGen

Education

Bachelor's or Master's degree in Computer Science, AI

PhD preferred for architect-level roles

Job description

Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high‑growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready?

Job Overview

Infosys Consulting is at the forefront of applied AI innovation, delivering real‑world business value through the convergence of AI agents, machine learning, and modern enterprise architecture. As part of our growing Enterprise AI consulting practice, we are looking for technically hands‑on professionals to design and deliver client‑centric intelligent systems and support business growth through strategic pre‑sales and solutioning initiatives.

Key Responsibilities

• 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

Required Qualifications

• 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

Preferred Skills

• 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