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EXL

Analyzes business data and runs outsourced operations

Digital AI Solution Architect

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeDublin, Ireland

About the Job

Requirements

  • At least 8 years of proven experience architecting AI solutions.
  • At least 6 years of programming experience with Python, React, Java, or other programming languages.
  • Experience in solution architecture, including features, functionalities, and upstream and downstream impacts on AI workflows.
  • Experience in technical architecture, including data flow, technologies and integrations, technology selection, scalability, and security.
  • Experience in agentic architecture, including multi-agent orchestration, intelligent routing, state management, evaluation, and cost and performance optimization.
  • Strong expertise in AWS or Azure.
  • Demonstrated experience working with senior business and technology stakeholders.
  • Familiarity with building large-scale AI products or platforms for natural language processing, speech, computer vision, or recommendation systems serving millions of users.
  • Deep expertise in full-stack application and solution development and engineering best practices.
  • Experience architecting AI agentic solutions using well-managed core application programming interfaces and software development kits to access large language models and foundational models.
  • Solutioning and engineering skills in a primary cloud hyperscaler; AWS or Azure skills are preferred.
  • Cloud engineering skills including security and disaster recovery, storage, networking, virtualization, containerization, orchestration, Linux, web services, application programming interfaces, and DevOps.
  • Experience architecting, building, and deploying AI solutions, and understanding of primary services used to build and deploy cloud-native agentic applications and platforms at scale.
  • Must already be eligible to work in the Republic of Ireland.

Responsibilities

  • Design, document, and govern agentic solutions and platforms using services available in AWS, Azure, and Google Cloud Platform, as well as third-party agentic frameworks and tools such as NVIDIA NeMo, LangSmith, Langfuse, and Temporal.
  • Provide reusable blueprints, documentation, and guidelines to promote consistency across engineering teams and create collateral for sales teams.
  • Ensure development follows EXL Digital’s engineering best practices.
  • Contribute to the digital AI solution strategy for target industry segments.
  • Support pre-sales solutioning by translating business requirements into agentic solutions and providing the technical approach, architecture, and delivery plan.
  • Provide prospective clients with hands-on technical guidance on solution feasibility, risks, integration approach, and scalability before contract signature.
  • Build relationships with technical stakeholders at key clients by demonstrating insight and thought leadership on applying digital solutions to their business context and goals.
  • Work with teams across the business to generate AI solution opportunities.
  • Drive AI innovation across digital engineering.
  • Design and deliver client-oriented digital AI solutions.
  • Lead conversations about digital AI solutions with senior technical leaders at clients.
  • Advise clients on the technical details of AI solutions.
  • Collaborate with stakeholders across functions and geographies.
  • Present to internal and external stakeholders.

Desired Qualifications

  • Experience with NVIDIA NeMo frameworks for model development and agentic solutions.

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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