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- Tasks: Design and implement AI agents for enterprise use cases, collaborating on project delivery.
- Company: Join Infosys Consulting, a leader in applied AI innovation and business transformation.
- Benefits: Enjoy competitive salary, performance bonuses, flexible hybrid work, and fast-tracked career growth.
- Why this job: Work with cutting-edge technology and industry leaders on impactful projects that drive real change.
- Qualifications: Bachelor’s or Master’s in Computer Science/AI; 4+ years in AI/ML with hands-on development experience.
- Other info: Opportunity to engage with CxO-level stakeholders and gain international exposure.
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.
AI Agent Engineer - Consultant/Snr Consultant level employer: Infosys
Contact Detail:
Infosys 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 projects showcasing your skills with these technologies can set you apart during interviews.
✨Tip Number 2
Network with professionals in the AI consulting field, especially those who work with enterprise solutions. Attend relevant meetups or webinars to connect with potential colleagues and learn about industry trends that could be beneficial for your role.
✨Tip Number 3
Prepare to discuss real-world applications of AI agents in business settings. Think of examples where you've successfully implemented AI solutions or how you would approach a client’s problem using AI technology.
✨Tip Number 4
Showcase your communication skills by practising how to explain complex AI concepts to non-technical stakeholders. Being able to bridge the gap between technical and non-technical audiences is crucial for this role.
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 keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your hands-on experience with technologies like LangChain and Python. Mention specific projects or achievements that align with the responsibilities outlined in the job description.
Showcase Technical Skills: In your application, emphasise your technical skills, especially in Python and orchestration libraries. Provide examples of how you've used these skills in previous roles to solve complex problems or deliver innovative solutions.
Prepare for Interviews: Anticipate questions related to AI agent design and implementation. Be ready to discuss your experience with LLMs, prompt engineering, and any relevant projects. Practising your responses will help you convey your expertise confidently.
How to prepare for a job interview at Infosys
✨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
Expect scenario-based questions that assess your problem-solving skills. Think of examples where you've tackled complex challenges in AI/ML, particularly in agentic systems, and articulate your thought process clearly.
✨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. Share experiences where you collaborated with strategists or architects on project design and MVP delivery, emphasising your teamwork skills.
