At a Glance
- Tasks: Support design and implementation of innovative AI solutions alongside industry experts.
- Company: Join EXL, a global leader in data and AI transformation.
- Benefits: Gain valuable experience, receive training, and secure a permanent role post-apprenticeship.
- Other info: Over 90% of apprentices transition to full-time roles in tech.
- Why this job: Dive into the future of AI and make a real impact on businesses worldwide.
- Qualifications: Basic understanding of AI concepts and programming skills in Python or TypeScript.
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 such as insurance, healthcare and life sciences, banking and capital markets, retail, communications and media, and energy and infrastructure. 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 ResponsibilitiesAs a Junior AI Consultant Apprentice at EXL, you will support the design, architecture, and implementation of agentic AI solutions and AI-enabled enterprise. You will 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.
- 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
You will 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)
You will work on AI use cases across:
- 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
You will:
- Apply principles of safe AI, EU AI Act and FCA-aligned controls
- Support testing and evaluation frameworks (TEVV) including:
- Accuracy, precision/recall
- ‘Groundedness’
- Consistency
- Safety checks
- Help maintain audit trails, evaluation logs, and architecture documentation
- 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
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 learnCourse contents include (but are not limited to):
- 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 (such as the impact on job roles)
- 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 (e.g., cost benefit analysis)
- 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
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.
Learners can gain these optional exams at the end of the programme: Maths (grade 4/C +)
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills- Customer care skills
- Analytical skills
- Logical
- Creative
- Initiative
- Interest in AI
- Motivated
- Interest in architecture
- Tech Savvy
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 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, the company offers apprentices the chance to work alongside industry experts while gaining valuable skills through a structured training programme, ensuring a pathway to permanent employment and career advancement in the dynamic field of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Junior AI Consultant Apprentice
✨Tip Number 1
Network like a pro! Reach out to current employees at EXL or in the AI field on LinkedIn. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for interviews by practising common questions related to AI and data solutions. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your passion for AI! Bring examples of projects or experiences that highlight your skills and interest in AI technologies during interviews. This will make you stand out!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Junior AI Consultant Apprentice
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! Share any relevant projects or experiences that sparked your interest in artificial intelligence and how they relate to the role.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this specific apprenticeship. Highlight skills and experiences that align with the job description, especially those related to AI concepts and enterprise workflows.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon unless it's relevant to the role. We want to see your ideas without having to decipher them!
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 and shows you’re serious about joining the StudySmarter team.
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. Think about how you can break down complex business processes and identify AI opportunities. This will demonstrate your ability to think critically and apply your knowledge practically.
✨Familiarise Yourself with Tools and Technologies
Get comfortable with tools like Python or TypeScript for prototyping, as well as cloud platforms like Azure, AWS, or GCP. Mentioning specific projects or experiences where you've used these technologies can really set you apart from other candidates.
✨Communicate Clearly and Effectively
Practice explaining technical concepts in a way that's easy to understand. You might be asked to produce client-ready materials, so being a clear communicator is key. Consider preparing a short presentation or demo to showcase your skills during the interview.
