{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/title/agentic-ai-architect"},"x-facet":{"type":"title","slug":"agentic-ai-architect","display":"Agentic AI Architect","count":1},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8073098e-063"},"title":"Agentic AI Architect","description":"<p>Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients&#39; most important challenges? We are growing and are looking for people to join our team. You&#39;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?</p>\n<p>Job Overview:</p>\n<p>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.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Design, develop, and deploy autonomous AI agent ecosystems using frameworks such as LangChain, AutoGen, CrewAI, and Semantic Kernel.</li>\n<li>Architect LLM-powered workflows involving multi-agent collaboration, decision logic, memory management, and external tool integration.</li>\n<li>Collaborate with consulting teams to align AI agent solutions with business goals and industry use cases across sectors (FSI, Retail, Manufacturing, etc.).</li>\n<li>Participate in RFI/RFP responses, creating high-impact solution overviews, architectural diagrams, and effort/cost estimations.</li>\n<li>Work closely with AI Strategists, Engagement Managers, and Domain SMEs to define solution blueprints, MVP scopes, and transformation roadmaps.</li>\n<li>Engage in client workshops, demos, and innovation showcases to articulate the potential of Agentic AI and its enterprise applications.</li>\n<li>Contribute to the development of reusable agent templates, accelerators, and reference architectures within Infosys&#39; AI frameworks.</li>\n<li>Stay current with GenAI advancements, toolchains, and research (LLMs, embeddings, vector DBs, agent planning/reasoning).</li>\n<li>Provide technical mentorship and hands-on support to junior consultants, helping shape internal capability development.</li>\n<li>Collaborate with cross-functional teams on AI governance, responsible AI practices, and integration into enterprise environments.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s or Master&#39;s degree in Computer Science, AI, or related field. PhD preferred for architect-level roles.</li>\n<li>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</li>\n<li>Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar.</li>\n<li>Deep knowledge of LLMs (GPT, Claude, LLaMA, Mistral, etc.), prompt engineering, agent memory, tool calling, and autonomous task execution.</li>\n<li>Experience with pre-sales, RFP/RFI support, and proposal creation in a consulting or enterprise services environment.</li>\n<li>Understanding of enterprise solutioning with cloud platforms (AWS, Azure, GCP), API integration, and data security best practices.</li>\n<li>Exceptional communication and consulting skills, with the ability to present solutions to both technical and non-technical stakeholders.</li>\n</ul>\n<p>Preferred Skills:</p>\n<ul>\n<li>Hands-on exposure to cognitive architectures, planning-based agents, or reinforcement learning in real-world deployments.</li>\n<li>Experience integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs.</li>\n<li>Understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8073098e-063","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Infosys Consulting - Europe","sameAs":"https://www.infosys.com/","logo":"https://logos.yubhub.co/infosys.com.png"},"x-apply-url":"https://jobs.workable.com/view/qRNKkoyRyMYbqe7zLDz6tb/remote-agentic-ai-architect-in-poland-at-infosys-consulting---europe","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","LangChain","AutoGen","CrewAI","Semantic Kernel","LLMs","prompt engineering","agent memory","tool calling","autonomous task execution","pre-sales","RFP/RFI support","proposal creation","cloud platforms","API integration","data security best practices"],"x-skills-preferred":["cognitive architectures","planning-based agents","reinforcement learning","AI observability","performance monitoring","ethical guidelines"],"datePosted":"2026-04-24T14:09:59.450Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Poland"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, LangChain, AutoGen, CrewAI, Semantic Kernel, LLMs, prompt engineering, agent memory, tool calling, autonomous task execution, pre-sales, RFP/RFI support, proposal creation, cloud platforms, API integration, data security best practices, cognitive architectures, planning-based agents, reinforcement learning, AI observability, performance monitoring, ethical guidelines"}]}