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AI Tech Lead
Expleo Group. Act as the technical owner of the AI Hub in close collaboration with the Business Lead .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI solution development, technical leadership, and software engineering best practices, with a strong focus on scalability, maintainability, and operational readiness. Proficient in translating business requirements into effective technical solutions while fostering collaboration across teams.
Highest-signal resume keywords
AI Solution DevelopmentTechnical LeadershipCloud Platforms (Microsoft Azure, AWS, Google Cloud)Software Engineering Best PracticesMachine Learning Frameworks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Software EngineeringAI EngineeringMachine LearningGenerative AIAPIsSystem IntegrationCI/CDAutomated TestingDevOpsMLOps
Soft Skills
Excellent Communication SkillsStrong Collaboration SkillsProblem-SolvingAnalytical CapabilitiesProactive Mindset
Certifications & Qualifications
Bachelor's or Master's Degree in Computer ScienceSoftware EngineeringArtificial IntelligenceData Science
Industry Keywords
AI TechnologiesTechnical DirectionOperational ExcellenceScalable SolutionsInnovation
Tech Stack
Tools & technologiesAWSAzureCloud
About the role
Key responsibilities & impact- Act as the technical owner of the AI Hub in close collaboration with the Business Lead
- Take technical responsibility for AI solutions developed and supported by the Hub
- Provide technical direction across the Hub portfolio and ensure consistency in architecture, engineering practices and technology choices
- Represent the AI Hub in technical discussions with engineering teams, architecture, business units and stakeholders
- Guide AI solutions through their complete lifecycle, from idea and solution design through development, testing and production
- Support teams in translating business requirements and problems into technical solutions
- Identify technical risks, dependencies and constraints and support mitigation strategies
- Ensure solutions are designed for scalability, maintainability, security, reliability and operational readiness
- Support engineers in solving complex technical challenges and making technology and architecture decisions
- Promote software engineering best practices for AI development, including code quality, testing, CI/CD, monitoring and operational excellence
- Encourage reusable approaches, shared components and common technical patterns across AI initiatives
- Maintain a forward-looking view of AI developments and evaluate their relevance for GLS
- Initiate and support Proofs of Concept to evaluate technologies and demonstrate potential
- Promote experimentation connected to tangible business outcomes
- Evaluate the balance between technical complexity, implementation effort, operational cost and expected value
- Challenge AI use where simpler or more effective technical approaches could solve the problem
- Communicate the technical vision, capabilities and direction of the AI Hub
- Support positioning the AI Hub as a trusted partner for AI-enabled business solutions
Requirements
What you’ll need- Bachelor's or master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related field, or equivalent professional experience
- Strong professional experience in software engineering, AI engineering, machine learning or AI solution development
- Proven ability to technically lead complex AI or software solutions from design through production
- Strong understanding of modern AI technologies and development approaches, including Generative AI, LLMs, RAG, AI agents, machine learning and related frameworks
- Strong software engineering background and proficiency with modern development practices
- Experience designing and implementing scalable, production-ready solutions
- Experience with cloud platforms and cloud-based AI services, preferably Microsoft Azure, AWS or Google Cloud
- Good understanding of APIs, system integration, CI/CD, automated testing, monitoring and DevOps/MLOps practices
- Ability to translate business problems and requirements into appropriate technical solutions
- Ability to evaluate new technologies and determine their applicability and potential business value
- Strong problem-solving and analytical capabilities
- Excellent communication skills, with the ability to communicate technical concepts to both technical and nontechnical audiences
- Strong collaboration skills and the ability to influence technical decisions across teams without relying solely on formal authority
- Pragmatic and proactive mindset with a strong sense of ownership
- Curiosity and passion for AI, innovation and emerging technologies
- Ability to balance innovation, technical excellence and business value
Benefits
Comp & perks- Opportunity to play a key role in shaping and scaling AI capabilities across an international organization
- Opportunity to influence the technical direction and evolution of the AI Hub
- Exposure to a broad portfolio of AI use cases, technologies and business domains