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- Tasks: Lead the design of innovative AI platforms and solutions in a dynamic environment.
- Company: Join EXL, a global leader in data and AI with a collaborative culture.
- Benefits: Enjoy competitive salary, private healthcare, and professional development opportunities.
- Other info: Flexible hybrid work model and commitment to diversity and inclusion.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: 10-15 years in software/AI engineering with strong architecture experience.
The predicted salary is between 80000 - 100000 £ 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 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.
We are seeking an experienced AI Solution Architect to lead the design and delivery of enterprise-scale agentic AI platforms and GenAI-enabled solutions. This role will define end-to-end architecture across AI, data, orchestration, integration, and platform layers, with a strong focus on scalable, secure, and explainable AI systems.
The successful candidate will drive architecture strategy for multi-step agentic workflows, RAG frameworks, vector search, prompt lifecycle management, and enterprise integrations across structured, unstructured, and external data sources. You will work closely with AI, data, and engineering teams to establish scalable platform patterns, governance frameworks, and ModelOps capabilities while ensuring alignment with business and technical objectives.
This is a hands-on leadership role requiring deep expertise in GenAI architecture, distributed systems, enterprise integrations, AI safety, and cloud-native engineering practices. The ideal candidate will combine strong technical depth with the ability to lead cross-functional teams, influence stakeholders, and translate complex AI capabilities into practical enterprise solutions.
Architecture & Technical Leadership- Define end-to-end architecture for agentic AI-enabled platform across data, AI, orchestration, and integration layers
- Design and govern agentic orchestration framework for multi-step workflows
- Establish architecture patterns for - RAG and grounding, Vector search and retrieval, MCP tool access layer, prompt management and evaluation
- Define integration architecture across - Lakehouse, ODS, document systems; Underwriting systems and third-party APIs
- Design configurable, metadata-driven framework for multi-LOB onboarding
- Define where and how to use - GenAI vs deterministic logic, agentic workflows vs pipeline workflows
- Establish multimodal integration approach combining structured, unstructured, and external data
- Design prompt lifecycle, evaluation, and optimization strategy
- Define AI safety and guardrails (PII, hallucination control, policy constraints)
- Establish ModelOps and PromptOps frameworks
- Ensure explainability, auditability, and traceability of AI outputs
- Lead technical execution across AI, data, and platform teams
- Guide engineers (AI, data, full-stack) and ensure alignment with architecture
- Drive technical decisions and stakeholder communication
- Experience: 10–15+ years in software/data/AI engineering with 4–6+ years in AI/ML/GenAI architecture
- Background: Strong experience in designing enterprise-scale platforms and distributed systems
- Domain (good to have): Insurance/reinsurance / financial services
- Education: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field
- Profile Type: Hands-on architect with ability to balance strategy + execution
- Retrieval & RAG - Azure AI Search (indexing, vector search, hybrid search); Embedding pipelines and retrieval optimization; RAG design, grounding strategies, context management
- Tool Access & Integration - MCP (Model Context Protocol) architecture and tool design; API design (FastAPI / REST / microservices); Integration with enterprise systems and third-party APIs
- AI Safety & Governance - NVIDIA NeMo Guardrails; Microsoft Presidio (PII detection/masking); Guardrails for prompt injection, hallucination control
- Evaluation & ModelOps - Azure AI Foundry (model hosting, versioning, monitoring); Evaluation frameworks (LLM-as-judge, test datasets); Prompt/version control, cost/latency monitoring
- DevOps & Observability - CI/CD pipelines (Azure DevOps / GitHub Actions); Logging, monitoring, observability (App Insights, etc.); Performance tuning and scalability
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.
Agentic AI Data Architect employer: exl
Contact Detail:
exl Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic AI Data Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI and data architecture. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI architecture. Think about how you would tackle real-world problems and be ready to discuss your thought process. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at EXL.
We think you need these skills to ace Agentic AI Data Architect
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Agentic AI Data Architect role. Highlight your experience in AI architecture and how it aligns with our needs at EXL. We want to see how your skills can drive innovation and excellence!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention specific tools and frameworks you’ve worked with, especially those related to GenAI and enterprise-scale platforms. We love seeing candidates who can blend strategy with hands-on execution.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where necessary to make it easy for us to read. We appreciate a well-structured application that gets straight to the heart of your qualifications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at exl
✨Know Your AI Architecture Inside Out
Make sure you’re well-versed in the specifics of GenAI architecture and distributed systems. Brush up on your knowledge of RAG frameworks, vector search, and prompt lifecycle management. Being able to discuss these topics confidently will show that you’re not just familiar with the concepts but can also apply them practically.
✨Showcase Your Hands-On Experience
Prepare to share specific examples from your past roles where you’ve designed enterprise-scale platforms or led cross-functional teams. Highlight your experience with integration architectures and how you’ve tackled challenges in AI safety and governance. Real-world examples will make your expertise more relatable and impressive.
✨Understand the Business Context
Familiarise yourself with the industries EXL operates in, especially insurance and financial services. Be ready to discuss how your technical skills can drive better outcomes for clients. This shows that you’re not just a techie but also understand how to align technology with business goals.
✨Prepare Questions That Matter
Think of insightful questions to ask your interviewers about their current projects, challenges they face in AI implementation, or their vision for the future of agentic AI. This demonstrates your genuine interest in the role and helps you assess if the company is the right fit for you.