AI Tech Lead – LLM, RAG, AI Agents

HumanIT Digital Consulting

. Lead the technical side of the AI Hub at the IT organisation of a major parcel and logistics network .

Posted 11/11/2026full-timeLisbon • PortugalSenior💰 €2,150 - €2,850 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI solution development, ensuring scalable and maintainable architectures while aligning technical direction with business priorities. Proficient in modern AI technologies and cloud platforms, with strong problem-solving and communication skills to bridge technical and non-technical stakeholders.

Highest-signal resume keywords

AI Solution DevelopmentCloud Platforms (Microsoft Azure, AWS, Google Cloud)Generative AI and Machine LearningCI/CD and DevOps PracticesTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI EngineeringMachine LearningSystem IntegrationAutomated TestingMonitoringTechnical DesignProduction DeploymentArchitecture ConsistencyTechnical Evaluation

Soft Skills

Problem-SolvingAnalytical SkillsExcellent CommunicationInfluencing Without AuthorityProactive Mindset

Tools & Technologies

Microsoft Azure AI ServicesAWSGoogle CloudAPIsCI/CD ToolsMLOps Practices

Industry Keywords

AI HubLogistics NetworkTechnical OwnershipOperational ReadinessBusiness Solutions

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

Lead the technical side of the AI Hub at the IT organisation of a major parcel and logistics network
Act as technical co-owner of the AI Hub and its portfolio of AI solutions
Oversee AI solutions end to end, from initial idea and technical design through proof of concept, development, testing, production deployment and continuous improvement
Take technical ownership of AI solutions and align technical direction with business priorities
Ensure consistent architecture, engineering practices and technology choices across the Hub portfolio
Represent the AI Hub in technical discussions with engineering teams, architecture, business units and other stakeholders
Translate business problems into appropriate technical solutions and identify risks, dependencies and constraints early
Ensure solutions are scalable, maintainable, secure, reliable and operationally ready
Support AI Engineers on complex technical challenges and architecture decisions
Promote code quality, testing, CI/CD, monitoring and operational excellence
Encourage reusable components and common technical patterns across AI initiatives
Follow AI developments, start and support proofs of concept, and connect experimentation to tangible business outcomes
Evaluate technical complexity, effort, operational cost and expected value, and recommend simpler approaches where appropriate
Communicate the Hub's technical vision and position it 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: Generative AI, LLMs, RAG, AI agents, machine learning and related frameworks
Strong software engineering background and command of modern development practices
Experience designing and implementing scalable, production-ready solutions
Experience with cloud platforms and cloud-based AI services (Microsoft Azure, AWS or Google Cloud)
Good understanding of APIs, system integration, CI/CD, automated testing, monitoring and DevOps/MLOps practices
Ability to evaluate new technologies and judge their applicability and business value
Strong problem-solving and analytical skills
Excellent communication skills, able to explain technical concepts to technical and non-technical audiences
Ability to influence technical decisions across teams without relying only on formal authority
A pragmatic, proactive mindset with a strong sense of ownership, plus curiosity and passion for AI and emerging technologies
English, B2 (Upper Intermediate) minimum
Nice to have: Hands-on experience with Microsoft Azure AI services in particular (Azure is the preferred cloud)

Benefits

Comp & perks

15th month salary
Health insurance covering your family
Birthday off
Mobility program for digital nomads
Real work-life balance