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- Tasks: Design and implement AI agents for enterprise use cases, collaborating on project delivery.
- Company: Infosys Consulting blends startup agility with global reach, driving AI innovation across industries.
- Benefits: Enjoy competitive salary, performance bonuses, flexible hybrid work, and fast-tracked career growth.
- Why this job: Join a dynamic team shaping the future of AI in consulting with high-visibility projects.
- Qualifications: Bachelor's or Master's in Computer Science/AI; 4+ years in AI/ML with strong Python skills required.
- Other info: Work with CxO-level stakeholders and gain exposure to cutting-edge AI technologies.
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 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 and implement AI agents using LangChain, CrewAI, or AutoGen for enterprise-grade use cases.
• Develop modular code for task decomposition, memory handling, and tool integration with APIs.
• Collaborate with AI strategists and architects on project design and MVP delivery.
• Conduct testing and fine-tuning of agent behavior using LLM APIs and embeddings.
• Participate in internal code reviews, documentation, and reusable framework building.
• Support pre-sales demos and client innovation sessions with hands-on prototypes.
Required Qualifications
• Bachelor\’s or Master\’s degree in Computer Science, AI, or related field. PhD preferred for architect-level roles.
• 4+ years in AI/ML, with recent experience in agentic systems and hands-on development of LLM-based applications.
• 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 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.
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AI Agent Engineer - Consultant/Snr Consultant level employer: Infosys Consulting - Europe
Contact Detail:
Infosys Consulting - Europe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Agent Engineer - Consultant/Snr Consultant level
✨Tip Number 1
Familiarise yourself with the specific AI tools mentioned in the job description, such as LangChain and AutoGen. Having hands-on experience or even personal projects using these technologies can set you apart during interviews.
✨Tip Number 2
Engage with the AI community by attending meetups or webinars focused on AI agents and machine learning. 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 enterprise settings. Think of examples where you've successfully implemented AI solutions or how you would approach a specific business problem using AI.
✨Tip Number 4
Showcase your communication skills by practising how to explain complex AI concepts to non-technical stakeholders. This is crucial for the role, as you'll need to present solutions clearly and effectively.
We think you need these skills to ace AI Agent Engineer - Consultant/Snr Consultant level
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML, particularly with agentic systems and LLM-based applications. Use specific examples that demonstrate your hands-on development skills and familiarity with tools like LangChain or AutoGen.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI innovation and your understanding of the role. Mention how your background aligns with the responsibilities outlined in the job description, especially your experience with Python and cloud platforms.
Showcase Relevant Projects: If you have worked on projects involving AI agents or machine learning, include them in your application. Describe your role, the technologies used, and the impact of the project to demonstrate your capability in delivering client-centric intelligent systems.
Prepare for Technical Questions: Anticipate technical questions related to AI agents, LLMs, and coding practices. Be ready to discuss your approach to problem-solving and how you would handle real-world scenarios that may arise in the role.
How to prepare for a job interview at Infosys Consulting - Europe
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with AI agents and LLM-based applications. Highlight specific projects where you've used tools like LangChain or AutoGen, and be ready to explain your approach to designing and implementing these systems.
✨Demonstrate Problem-Solving Abilities
During the interview, expect to tackle real-world scenarios that require you to think critically about AI solutions. Practice articulating your thought process on how you would approach task decomposition and memory handling in agent design.
✨Communicate Effectively
Since the role involves presenting solutions to both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will showcase your exceptional communication skills, which are crucial for this position.
✨Prepare for Collaborative Discussions
Collaboration is key in this role, so be ready to discuss how you've worked with cross-functional teams in the past. Share examples of how you've contributed to project design and MVP delivery, as well as your experience in internal code reviews and documentation.
