London, England, United Kingdom
Live, first seen by us 59 days agoBU/Segment: Digital / Banking Location: Halifax, United Kingdom (Hybrid working 2 days a week in the office) Employment Type: PermanentRead the full posting
Location: Halifax, United Kingdom (Hybrid working 2 days a week in the office) Employment Type: Permanent Summary of the role:Read the full posting
To be considered for this role, you must already be eligible to work in the United Kingdom
Lead end-to-end architecture and delivery of GenAI and agentic AI solutions for banking clients
Design RAG, multi-agent, document processing and workflow automation systems
Define architecture patterns, governance, security controls and best practices
Run solution assurance across architecture reviews, testing, deployment and monitoring
Facilitate client workshops and present solutions to executive and technical audiences
Lead the end-to-end architecture, solution design, and delivery of Generative AI and Agentic AI solutions for banking clients.
Design and implement advanced GenAI solutions, including: Retrieval-Augmented Generation (RAG) Multi-Agent Systems Intelligent Document Processing
Define architecture patterns, governance standards, security controls, and best practices for enterprise AI 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 both executive and technical stakeholders.
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- 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.
- Knowledge of AI governance, model risk management, and regulatory requirements within financial services. - Exposure to modern AI-native platforms and frameworks including Azure AI Foundry, Vertex AI, Bedrock, Databricks, or Palantir. - Strong consulting and problem-solving mindset.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
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, banking and financial services, media and retail, 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 more than 60,000 employees spanning six continents. For more information, visit www.exlservice.com.
Role Title: Data & AI Solution Architect – Generative AI Products & Delivery
BU/Segment: Digital / Banking
Location: Halifax, United Kingdom (Hybrid working 2 days a week in the office)
Employment Type: Permanent
Summary of the role:
We are seeking an experienced and hands-on Generative AI Solution Architect to lead the design and delivery of enterprise-scale AI solutions within the banking and financial services sector.
The ideal candidate will have a proven track record of architecting and deploying production-grade GenAI solutions for complex client environments. You will combine deep technical expertise in LLMs, Agentic AI, and enterprise architecture with the ability to engage senior stakeholders and translate business challenges into scalable, secure, and compliant AI solutions.
This role is ideally suited to professionals from leading technology consulting firms, global systems integrators, AI product companies, or specialist AI consultancies who have spent the last several years delivering GenAI initiatives from concept through to production deployment.
As part of your duties, you will be responsible for:
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 GenAI solutions, including:
Retrieval-Augmented Generation (RAG)
Multi-Agent Systems
Intelligent Document Processing
Knowledge Management Platforms
Enterprise Workflow Automation
Define architecture patterns, governance standards, security controls, and best practices for enterprise AI adoption.
Apply GenAI capabilities to areas such as 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 both executive and technical stakeholders.
Qualifications and experience we consider to be essential for the role:
7+ years of experience in technology, architecture, or engineering roles.
Minimum 3 years of hands-on experience delivering Generative AI solutions in production environments.
Demonstrable experience successfully designing and launching multiple enterprise GenAI implementations beyond proof-of-concept stage.
Strong expertise in LLM ecosystems including OpenAI, Anthropic, Gemini, and related model platforms.
Hands-on experience with RAG 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.
Excellent stakeholder management skills with proven experience engaging clients and senior business leaders.
Strong understanding of enterprise security, risk management, and responsible AI principles.
Skills and Personal attributes we would like to have:
Banking, Financial Services, or other highly regulated industry experience.
Experience delivering AI solutions in areas such as risk, compliance, fraud, customer operations, lending, or regulatory reporting.
Data architecture, data modernisation, data platforms, or lakehouse expertise.
Experience supporting large-scale cloud migration or transformation programmes.
Knowledge of AI governance, model risk management, and regulatory requirements within financial services.
Exposure to modern AI-native platforms and frameworks including Azure AI Foundry, Vertex AI, Bedrock, Databricks, or Palantir.
Strong consulting and problem-solving mindset.
Ability to balance strategic architecture with hands-on technical delivery.
Excellent communication and presentation skills.
Commercially aware and client-focused.
Comfortable working in fast-paced, evolving technology environments.
Passionate about innovation and the practical application of Generative AI within enterprise organisations.
As part of a leading global Data and AI company, you can look forward to:
A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.
EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories.
At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies.
As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status.
EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP).
At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration.
To be considered for this role, you must already be eligible to work in the United Kingdom.
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London, England, United Kingdom
BU/Segment: Digital / Banking Location: Halifax, United Kingdom (Hybrid working 2 days a week in the office) Employment Type: Permanent
- EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). - At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.
- At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.