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- Tasks: Design and implement AI agents for enterprise use cases, collaborating on project design and delivery.
- Company: Infosys Consulting is a dynamic firm leading in AI innovation and transformation across industries.
- Benefits: Enjoy competitive salary, flexible hybrid work, and fast-tracked career growth opportunities.
- Why this job: Join a vibrant culture focused on AI-driven solutions and work with industry leaders on impactful projects.
- Qualifications: Bachelor's or Master's in Computer Science/AI; 4+ years in AI/ML with hands-on development experience required.
- Other info: Opportunity to work with CxO-level stakeholders and access proprietary platforms in AI.
The predicted salary is between 42000 - 84000 £ per year.
AI Agent Engineer – Consultant/Snr Consultant level
AI Agent Engineer – Consultant/Snr Consultant level
1 day ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
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.
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.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Consulting
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Industries
Business Consulting and Services
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AI Agent Engineer - Consultant/Snr Consultant level employer: Infosys Consulting
Contact Detail:
Infosys Consulting 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 valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous experiences with LLMs and agentic systems in detail. Be ready to share specific examples of how you've implemented solutions and the impact they had on business outcomes.
✨Tip Number 4
Showcase your consulting skills by practising how to present complex technical concepts to non-technical stakeholders. This will demonstrate your ability to bridge the gap between technology and business needs, which 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 and machine learning, particularly with agentic systems. Emphasise your hands-on development skills with LLM-based applications and any specific tools mentioned in the job description.
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 role. Mention specific projects or experiences that demonstrate your ability to design and implement AI agents.
Showcase Technical Skills: Clearly outline your technical skills related to Python, orchestration libraries, and cloud platforms. Provide examples of how you've used these skills in previous roles, especially in consulting or enterprise services environments.
Prepare for Interviews: Anticipate questions about your experience with AI agents and LLMs. Be ready to discuss your approach to problem-solving and how you would contribute to client-centric intelligent systems. Practice explaining complex concepts in simple terms for non-technical stakeholders.
How to prepare for a job interview at Infosys Consulting
✨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 implemented technologies like LangChain or AutoGen, and be ready to explain your approach to coding and problem-solving.
✨Understand the Business Context
Research Infosys Consulting's role in AI innovation and how they deliver business value. Be ready to discuss how your technical skills can contribute to their consulting practice and support client growth through strategic initiatives.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to design and implement AI solutions in real-world scenarios. Practice articulating your thought process for developing modular code, conducting testing, and collaborating with teams on project delivery.
✨Demonstrate Strong Communication Skills
Since the role involves presenting solutions to both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Show that you can effectively communicate your ideas and engage with diverse audiences during the interview.
