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EXL

Analyzes business data and runs outsourced operations

Data & AI Solution Architect - Generative AI Products & Delivery

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeHalifax, UK

About the Job

Requirements

  • At least 7 years of experience in technology, architecture, or engineering roles.
  • At least 3 years of hands-on experience delivering Generative AI solutions in production environments.
  • Demonstrable experience designing and launching multiple enterprise Generative AI implementations beyond the proof-of-concept stage.
  • Strong expertise in large language model ecosystems, including OpenAI, Anthropic, Gemini, and related model platforms.
  • Hands-on experience with retrieval-augmented generation architectures, Agentic AI frameworks, and orchestration tools such as LangChain, LangGraph, AutoGen, and CrewAI.
  • Proven experience applying Agile delivery, DevOps, MLOps, and LLMOps practices to enterprise AI programmes.
  • Strong cloud architecture experience across Azure, AWS, or GCP.
  • Experience in model deployment, monitoring, observability, governance, versioning, and operational support.
  • Experience engaging clients and senior business leaders.
  • Strong understanding of enterprise security, risk management, and responsible AI principles.
  • Must already be eligible to work in the United Kingdom.

Responsibilities

  • Lead the end-to-end architecture, solution design, and delivery of Generative AI and Agentic AI solutions for banking clients.
  • Translate business requirements and regulatory considerations into scalable, production-ready AI architectures.
  • Design and implement advanced Generative AI solutions, including retrieval-augmented generation, multi-agent systems, intelligent document processing, knowledge management platforms, and enterprise workflow automation.
  • Define architecture patterns, governance standards, security controls, and best practices for enterprise AI adoption.
  • Apply Generative AI capabilities to data transformation, metadata management, customer service, risk, compliance, operations, and process automation.
  • Collaborate with engineering, data, cloud, and business teams to ensure successful delivery and adoption.
  • Drive solution assurance across the full software development lifecycle, including architecture reviews, testing, deployment, monitoring, and optimisation.
  • Facilitate client workshops and present technical solutions to executive and technical stakeholders.

Desired Qualifications

  • Experience in banking, financial services, or another highly regulated industry.
  • Experience delivering AI solutions in risk, compliance, fraud, customer operations, lending, or regulatory reporting.
  • Expertise in data architecture, data modernisation, data platforms, or lakehouses.
  • Experience supporting large-scale cloud migration or transformation programmes.
  • Knowledge of AI governance, model risk management, and financial services regulatory requirements.
  • Exposure to modern AI-native platforms and frameworks, including Azure AI Foundry, Vertex AI, Bedrock, Databricks, or Palantir.
  • Ability to balance strategic architecture with hands-on technical delivery.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1999

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