Job Specifications
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 www.exlservice.com.
Role Title: Junior AI Consultant Apprentice
BU/Segment: International Growth Markets / AI & Data Solutions
Location: EXL London.
Employment Type: Apprenticeship (Permanent on completion)
We are seeking motivated individuals to join EXL as a Junior AI Consultant Apprentice, supporting the design, architecture, and implementation of agentic AI solutions and AI-enabled enterprise transformations. This apprenticeship is designed for those aspiring to become AI architects or AI consultants (not data engineers), offering hands-on experience alongside senior AI architects and consultants to shape next-generation AI systems that combine Generative AI, agentic automation, data intelligence, and enterprise application integration.
You will contribute across global and industry-specific projects, blending foundational technical skills with business understanding to help clients in key sectors adopt AI effectively and responsibly.
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)
Industry-focused AI consulting
You will work on AI use cases across:
Insurance – underwriting support, claims automation, broker-assist, fraud
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.
Sales enablement & pre-sales support
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
Essential Knowledge
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
Essential Skills
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