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Expleo

End-to-end engineering, tech consulting, quality services

AI Architect

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeDublin, IrelandNo salary listedIn-person

About the Job

Requirements

  • Strong hands-on understanding of modern AI application patterns, including retrieval-augmented generation, tool use, agents, and orchestration frameworks such as LangGraph, Semantic Kernel, or Microsoft Agent Framework.
  • Strong knowledge of enterprise AI and cloud services within at least one major platform: Azure AI Foundry, Azure OpenAI, AI Search, Functions, AKS, and API Management; AWS Bedrock, Lambda, EKS, and Step Functions; or Google Cloud Vertex AI, Cloud Run, GKE, and Pub/Sub.
  • Strong understanding of enterprise architecture, including integration, identity, security, resilience, scalability, data governance, and cloud cost management.
  • Good working knowledge of GDPR, AI regulation, and responsible AI principles.
  • Ability to explain complex technical concepts clearly to technical and non-technical stakeholders.
  • Strong problem-solving skills and a pragmatic, commercially aware approach to solution design.
  • Ability to balance technical best practice with client requirements, delivery constraints, and business value.
  • Familiarity with workflow and event-driven technologies including Temporal, Camunda, Kafka, and MCP.
  • Experience across software engineering, solution architecture, or enterprise architecture.
  • Significant experience designing and delivering production AI/ML solutions within large or complex organisations.
  • Experience evaluating, monitoring, and governing AI systems in production environments.
  • Experience working within enterprise or regulated environments, with an understanding of data protection, AI regulation, and responsible AI.
  • Experience engaging with senior client stakeholders, risk and governance teams, and technical delivery teams.
  • Experience supporting bids, proposals, solutioning, or technical estimation.
  • Experience within sectors such as financial services, insurance, healthcare, utilities, or other regulated industries.

Responsibilities

  • Lead AI solution architecture across client engagements, translating business requirements into pragmatic and scalable technical solutions.
  • Work consultatively with clients, challenge assumptions, and help stakeholders determine where AI adds value and where traditional automation, software, or human intervention is more appropriate.
  • Support pre-sales and solutioning, including discovery workshops, use-case assessment, architecture definition, estimation, and identification of technical or delivery risks.
  • Design enterprise AI solutions using technologies including large language models, retrieval-augmented generation, agents, machine learning, workflow orchestration, and traditional software components.
  • Define integration with existing enterprise platforms, identity and access management, systems of record, data platforms, and APIs.
  • Advise clients on technology choices across Azure, AWS, and Google Cloud, balancing capability, cost, security, scalability, data residency, and existing client environments.
  • Ensure solutions meet appropriate security, governance, and regulatory requirements, including GDPR, the EU AI Act, and relevant sector-specific requirements.
  • Establish approaches for AI evaluation, testing, monitoring, accuracy, and hallucination management before solutions move into production.
  • Provide technical leadership throughout delivery, working with Expleo engineers, consultants, delivery leads, and client teams to maintain architectural integrity.
  • Develop reusable Expleo AI accelerators, reference architectures, frameworks, and governance assets for future client engagements.
  • Mentor colleagues and contribute to the continued development of AI capability and knowledge across Expleo.
  • Act as a trusted technical advisor to clients, communicating complex architectural decisions clearly to technical and non-technical stakeholders.

Desired Qualifications

  • Previous consultancy, professional services, or client-facing experience would be highly beneficial.
  • Previous experience working within a consultancy, professional services, or client-facing technology environment.
  • Experience within sectors such as financial services, insurance, healthcare, utilities, or other regulated industries.
  • Relevant architecture or cloud certifications such as Azure, AWS, Google Cloud, or TOGAF.

About the Company

Expleo

End-to-end engineering, tech consulting, quality services

Expleo provides end-to-end engineering, technology consulting, and quality services to help businesses with digital transformation. It combines software quality assurance and testing with engineering and R&D capabilities to design, build, test, deploy, and maintain software-enabled and engineered systems. It stands out by integrating software quality expertise with broader engineering and digital-transformation offerings under one umbrella for industries like banking and telecommunications. Its goal is to help organizations navigate digital transformation by delivering reliable, efficient, and scalable software and systems.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Montigny-le-Bretonneux, France
Founded
1966

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