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. For more information, visit.
BU/Segment: International Growth Markets / AI & Data Solutions
Location: EXL London.
Employment Type: Apprenticeship (Permanent on completion)
Key Responsibilities
As 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.
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
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.
You will:
- 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
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
You must have foundational knowledge or experience in:
- 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
Course 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
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.
Learners can gain these optional exams at the end of the programme:
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
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.