At a Glance
- Tasks: Support design and implementation of innovative AI solutions alongside experienced professionals.
- Company: Join EXL, a global leader in data and AI transformation.
- Benefits: Gain valuable skills, competitive salary, and potential for permanent employment.
- Other info: 90% of apprentices secure full-time roles; excellent career growth opportunities await!
- Why this job: Dive into the future of AI and make a real impact on businesses.
- Qualifications: Basic understanding of AI concepts and programming skills required.
The predicted salary is between 20000 - 30000 £ per year.
EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare and life sciences, banking and capital markets, retail, communications and media, and energy and infrastructure, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have over 65,000 employees spanning six continents.
Location: EXL London. Employment Type: Apprenticeship (Permanent on completion)
Key Responsibilities
- Support the design, architecture, and implementation of agentic AI solutions and AI-enabled enterprise.
- Work alongside senior AI architects and consultants to help shape next-generation AI systems that combine GenAI, agentic automation, data intelligence, and enterprise application integration.
AI-enabled systems & agentic AI support
- Support design and prototyping of agentic AI applications embedded into client workflows.
- Assist in building tool-enabled AI agents, orchestrating APIs, knowledge sources, and enterprise systems.
- Participate in evaluating AI system behaviour (accuracy, drift, reliability, safety).
- Help configure enterprise AI applications using EXL’s toolkits and accelerators.
AI systems architecture & workflow integration
- Support senior architects to map current client processes and identify opportunities for embedded AI.
- Design end-to-end AI architectures including memory models, orchestration layers, vector stores, and workflow integration patterns.
- Assist in documenting solution architectures, data flows, and integration designs.
- Help prepare architectural artefacts for client presentations (diagrams, solution blueprints, implementation plans).
AI use cases
- Banking – KYC/AML workflow AI, credit operations, customer servicing.
- Energy & Utilities – field operations, network planning, customer queries.
- Retail – demand forecasting, merchandising, customer support workflows.
Your contribution will focus on translating industry problems into AI-enabled solutions:
- Support proposal creation, case studies, POVs, AI maturity assessments.
- Help prepare demos for client meetings, including AI agent workflows.
- Assist senior team members in producing slide decks & architectural narratives.
- Contribute to benchmarking, competitive analysis, and value case modelling.
Responsible AI & Governance
- Apply principles of safe AI, EU AI Act and FCA-aligned controls.
- Support testing and evaluation frameworks (TEVV) including accuracy, precision/recall, ‘groundedness’, consistency, and safety checks.
- Help maintain audit trails, evaluation logs, and architecture documentation.
Foundational knowledge or experience required:
- Understanding of AI concepts: LLMs, RAG, agentic workflows, vector databases.
- Basics of enterprise workflows and integration patterns.
- Fundamentals of cloud platforms (Azure, AWS, GCP) and modern application architectures.
- Familiarity with Python or TypeScript for prototyping.
- Basic understanding of data models and APIs.
- Strong analytical and problem-structuring ability.
- Ability to break down business processes and map AI opportunities.
- Clear communicator capable of producing client-ready materials.
- Interest in architecture (logical diagrams, solution blueprints, systems thinking).
- Ability to collaborate across business, IT, and data teams.
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider: JUST IT TRAINING LIMITED
Training course: Artificial intelligence (AI) and automation practitioner (level 4)
What you'll learn
- Review, establish, follow and/or amend policies and procedures on data and information security.
- Follow ethical, responsible and safe working practices respecting confidentiality and sensitive organisational matters.
- Undertake analysis to identify if automation is viable, including assessing risks such as data quality, process maturity and unintended consequences of AI automation projects.
- Engage with non-technical staff to understand their roles, responsibilities, and concerns when automation solutions are proposed and implemented.
- Support with the introduction, adaption, and implementation of change.
- Review and complete workflow and process mapping to identify problems or inefficiencies and recommend solutions.
- Use automation design tools (e.g., Zapier, Make, Power Automate) to configure, adapt and implement solutions.
- Create and refine prompts for AI tools using iterative testing.
- Apply analytical and computational techniques to design, evaluate, and optimise automation solutions.
- Integrate AI and automation technologies using APIs, connectors, or low/no-code methods.
- Iterate solutions based on testing and feedback to ensure reliability, security, accessibility, and alignment with organisational needs.
- Identify opportunities to deliver automation and support evidence-based suggestions for governance and improvement.
- Contribute to sustainable and efficient AI and automation solutions.
- Support delivery of training and creation of resources (user guides, training materials, process documents).
- Undertake assurance activities to evidence responsible AI, including documentation, risk assessments, and compliance with regulatory and ethical standards.
- Apply algorithmic impact assessment and workforce equality monitoring techniques.
Training schedule
An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.
Artificial intelligence (AI) and Automation Practitioner standard Level 4. You will also receive full training and support from the Leep Talent Apprenticeship team to increase your skills. Your training will include gaining a Level 4 Artificial intelligence (AI) and Automation Practitioner qualification.
Skills
- Customer care skills
- Analytical skills
- Logical
- Creative
- Initiative
- Interest in AI
- Motivated
- Interest in architecture
- Tech Savvy
After this apprenticeship
Over 90% of our apprentices move on to permanent full-time employment in the tech industry. There are also opportunities to extend your training with a higher-level Apprenticeship Programme. We have already helped over 1000 people start their tech and digital careers with an apprenticeship.
To be considered for this role, you must already be eligible to work in the relevant location.
Junior AI Consultant Apprentice in London employer: Ex
EXL is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for aspiring AI professionals. Located in London, our apprenticeship programme offers comprehensive training and mentorship from industry experts, ensuring you gain valuable skills while contributing to transformative AI solutions. With over 90% of apprentices transitioning to permanent roles, we are committed to your growth and success in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Junior AI Consultant Apprentice in London
✨Tip Number 1
Network like a pro! Reach out to current employees at EXL or in the AI field on LinkedIn. Ask them about their experiences and any tips they might have for landing an apprenticeship. You never know who might give you a leg up!
✨Tip Number 2
Prepare for interviews by brushing up on your AI knowledge. Make sure you can chat confidently about concepts like LLMs and agentic workflows. Show us that you're not just interested in the role, but that you understand the industry too!
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or family. Get comfortable talking about your skills and how they relate to the responsibilities of the Junior AI Consultant Apprentice role. The more you practice, the more confident you'll feel!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us that you're serious about joining the team at EXL. Let's get you started on this exciting journey!
We think you need these skills to ace Junior AI Consultant Apprentice in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see that you’re genuinely interested in the field and excited about the opportunity to learn and grow with us.
Tailor Your Application:Make sure to customise your application to highlight how your skills and experiences align with the role. We love seeing candidates who take the time to connect their background to what we do at EXL.
Be Clear and Concise:Keep your writing clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s relevant, and make sure your key points stand out!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way to ensure it gets into the right hands. Plus, you’ll find all the details you need about the role there.
How to prepare for a job interview at Ex
✨Know Your AI Basics
Make sure you brush up on your foundational knowledge of AI concepts like LLMs, RAG, and agentic workflows. Being able to discuss these topics confidently will show that you're serious about the role and understand the core responsibilities.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled analytical challenges in the past. Whether it's breaking down business processes or mapping AI opportunities, having specific instances ready will demonstrate your ability to think critically and apply your skills effectively.
✨Communicate Clearly
Practice explaining complex ideas in simple terms. As a Junior AI Consultant Apprentice, you'll need to communicate with both technical and non-technical staff. Being a clear communicator will set you apart and show that you can produce client-ready materials.
✨Familiarise Yourself with Tools
Get comfortable with tools and platforms mentioned in the job description, like Python, TypeScript, and cloud services (Azure, AWS, GCP). Showing that you have hands-on experience or at least a basic understanding of these technologies will give you an edge in the interview.
