At a Glance
- Tasks: Design and deploy AI agent ecosystems, collaborating with teams to align solutions with business goals.
- Company: Infosys Consulting is a dynamic firm driving AI innovation across various industries.
- Benefits: Enjoy competitive salary, flexible hybrid work, and fast-tracked career growth opportunities.
- Why this job: Join a vibrant culture focused on AI transformation and work with industry leaders on impactful projects.
- Qualifications: Bachelor's or Master's in Computer Science/AI; 8+ years in AI/ML with strong Python skills required.
- Other info: Opportunity to mentor junior consultants and engage in high-visibility client workshops.
The predicted salary is between 43200 - 72000 £ per year.
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 entrepreneurial and technically hands-on AI Agent Engineers and Agentic AI Architects 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.
What We Offer
- Competitive salary and performance-linked bonus structure.
- Fast-tracked career growth opportunities within a consulting-led AI practice.
- Flexible hybrid work model with opportunities for international client exposure.
- Access to Infosys' proprietary platforms and alliances in LLMs, agent frameworks, and automation ecosystems.
- Chance to work with CxO-level stakeholders and industry leaders on high-visibility transformation programs.
About Infosys Consulting
Infosys Consulting is a mid-size firm with a startup heart, backed by the global reach of Infosys. We combine strategic foresight and design-led thinking with deep tech implementation. We work across all industries and are experiencing significant growth, particularly in AI-driven transformation. We are a Top Employer across Europe, APAC, and North America, known for our diverse talent, inclusive culture, and rapid career growth paths. If you're ready to define the future of agentic AI in enterprise consulting, we invite you to join our AI-first transformation journey.
Agentic AI Architect employer: Infosys Consulting - Europe
Contact Detail:
Infosys Consulting - Europe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic AI Architect
✨Tip Number 1
Familiarise yourself with the specific frameworks mentioned in the job description, such as LangChain and AutoGen. Having hands-on experience or projects showcasing your skills with these tools will make you stand out during interviews.
✨Tip Number 2
Engage with the AI community by attending workshops, webinars, or meetups focused on agentic AI and LLMs. Networking with professionals in the field can provide insights and potentially lead to referrals for the position.
✨Tip Number 3
Prepare to discuss real-world applications of AI agents in various industries. Being able to articulate how your previous experiences align with the needs of sectors like FSI, Retail, or Manufacturing will demonstrate your understanding of the role's impact.
✨Tip Number 4
Showcase your ability to communicate complex technical concepts to non-technical stakeholders. Practising this skill will be crucial during client workshops and demos, which are key responsibilities of the role.
We think you need these skills to ace Agentic AI Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML, particularly your hands-on development with LLMs and autonomous AI agents. Use specific examples that demonstrate your expertise with frameworks like LangChain and AutoGen.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI innovation and how your background aligns with the responsibilities of the Agentic AI Architect role. Mention your experience in pre-sales and solutioning initiatives to showcase your fit for the position.
Showcase Technical Skills: Clearly outline your technical skills related to Python, orchestration libraries, and cloud platforms in your application. Provide examples of projects where you successfully integrated AI agents into enterprise applications.
Highlight Communication Abilities: Since exceptional communication skills are crucial for this role, include instances where you've presented complex solutions to both technical and non-technical stakeholders. This will demonstrate your ability to engage effectively with clients and teams.
How to prepare for a job interview at Infosys Consulting - Europe
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with AI frameworks like LangChain and AutoGen. Highlight specific projects where you've designed or deployed autonomous AI systems, as this will demonstrate your capability to meet the technical demands of the role.
✨Understand Business Applications
Familiarise yourself with how AI agents can solve real-world business problems across various sectors such as finance, retail, and manufacturing. Be ready to articulate how your solutions align with business goals and industry use cases.
✨Prepare for Collaborative Scenarios
Expect questions about teamwork and collaboration, especially in relation to working with cross-functional teams. Think of examples where you've successfully collaborated on AI projects, particularly in consulting environments.
✨Demonstrate Communication Skills
Since the role involves presenting solutions to both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Prepare to discuss how you would engage clients during workshops and demos to showcase the potential of Agentic AI.