AI Tech Lead

Expleo Group; Lisboa; On-site; EUR 90,000 - 120,000; Full time

Job summary

Expleo Group in Portugal seeks a Technical Lead for the AI Hub to align technical direction with business priorities and own AI solution lifecycle. You will drive scalable AI architectures, mentor teams, and collaborate with engineering, architecture and business units across borders.

Expect exposure to Generative AI, LLMs, RAG and MLOps practices while shaping AI capabilities for GLS with a pragmatic, ownership-driven mindset.

Qualifications

• Bachelor's or master's degree in Computer Science, Software Engineering, AI, Data Science or related field.
• Strong professional experience in software/AI engineering, ML or AI solution development.
• Ability to lead complex AI or software solutions from design through production.
• Experience with cloud platforms and cloud-based AI services (Azure, AWS, Google Cloud).
• Strong understanding of APIs, system integration, CI/CD, monitoring and DevOps/MLOps.

Responsibilities

• Act as the technical owner of the AI Hub, aligning technical direction with business priorities.
• Take technical responsibility for AI solutions developed and supported by the Hub.
• Provide technical direction across the Hub portfolio and ensure architecture consistency.
• Represent the AI Hub in technical discussions with engineering, architecture and business units.
• Guide AI solutions through lifecycle from idea to production, including PoCs.
• Support teams translating business requirements into technical solutions and mitigate risks.
• Ensure solutions are scalable, secure, reliable, and operationally ready.
• Promote best practices for AI development, code quality, testing and monitoring.
• Encourage reusable components and shared patterns across AI initiatives.

Skills

Generative AI

LLMs

RAG

AI agents

Cloud platforms

CI/CD

DevOps/MLOps

Communication

Collaboration

Ownership mindset

Education

Bachelor's or Master's in Computer Science / Software Engineering

Tools

Azure

AWS

Google Cloud

CI/CD tooling

MLOps tooling

Job description

Overview

Expleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast-track innovation through each step of your value chain.

We are strategically positioned to build value, with global footprint across 30 countries.We are as global and local as you need us to be, with strong best-in-class pan-European technological centres and unique best-shoring capabilities.

We leverage a network of high value-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever-changing environment.

Qualifications

• Act as the technical owner of the AI Hub, working in close collaboration with the Business Lead to align technical direction with business priorities and value
• Take technical responsibility for the 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 other relevant stakeholders
• Guide AI solutions throughout their complete lifecycle, from idea and solution design through development, testing and production
• Support teams in translating business requirements and problems into appropriate technical solutions
• Support projects in identifying technical risks, dependencies, constraints and appropriate mitigation strategies
• Ensure solutions are designed with scalability, maintainability, security, reliability and operational readiness in mind
• Support engineers in solving complex technical challenges and making appropriate 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 different AI initiatives
• Maintain a forward-looking view of developments in AI and evaluate their potential relevance for GLS
• Initiate and support Proofs of Concept (PoCs) to evaluate technologies and demonstrate their potential
• Promote experimentation while maintaining a clear connection between innovation and tangible business outcomes
• Help evaluate the balance between technical complexity, implementation effort, operational cost and expected value
• Challenge the use of AI where simpler or more effective technical approaches could solve the problem
• Communicate the technical vision, capabilities and direction of the AI Hub
• Support the positioning of the AI Hub as a trusted partner for delivering AI-enabled business solutions
• An opportunity to play a key role in shaping and scaling AI capabilities across an international organization
• The 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

Essential skills

• 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 onformal authority
• A 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