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Selected role

AI Engineer (AWS, Gen AI)

Keyrus Portugal Lisboa, P11, PT

$49k - $77k Senior Full-time

Why Keyrus, Why Now!

Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.

For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.

AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating.

At Keyrus, you will not just develop skills — you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last.

Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a **Keyrus Architect of Intelligence.

Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.**

**Role Details

Joblocation:** Portugal or Spain (Remote model)

Contracttype: Employee / Fixed-term / Contractor B2B

Targetstartdate: ASAP

Workinghours: Full-time

Compensation: €45,000 - €70,000 gross per year

What You'll Architect

As an AIEngineerin an AWS environment, you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making.

This role is both technical and consultative, perfect for someone who can combine hands-on development, cloud engineering, solution design, and client delivery. We're looking for professionals who can move AI initiatives from experimentation to enterprise-scale production environments.

KeyResponsibilities

Design and develop Generative AI solutions using Amazon Bedrock, including Foundation Models, Knowledge Bases, RAG patterns, and agent-based architectures
Build, deploy, and maintain production-ready AI applications and services within AWS cloud environments
Develop serverless solutions using AWS Lambda and orchestrate workflows through AWS Step Functions
Containerise and deploy workloads using Amazon ECS and AWS Fargate
Integrate AI solutions with enterprise systems and data platforms, including Amazon RDS and Snowflake
Design scalable, secure, and maintainable architectures for enterprise AI applications
Implement infrastructure using Terraform and Infrastructure as Code best practices
Apply AWS IAM security principles, roles, permissions, and governance standards
Develop REST APIs and backend services to support AI-powered applications
Support the industrialisation of GenAI use cases, transitioning solutions from PoC to production
Collaborate closely with Data Engineers, Cloud Engineers, Architects, AI Specialists, and client stakeholders
Contribute to technical standards, architectural decisions, and AWS/AI best practices across projects.

Who You Are

You are curious, analytical, and motivated by solving meaningful business challenges
You enjoy turning complexity into clarity and action
You balance technical thinking with business understanding
You are comfortable working in collaborative and international environments
You take ownership of your work and follow through on commitments
You value continuous learning and are motivated by long-term professional growth
You communicate clearly and effectively with a variety of stakeholders
You enjoy building practical solutions and bringing AI use cases into real-world production environments.

**️ What You Bring

Qualifications & Experience**

Relevant academic background in Computer Science, Software Engineering, Artificial Intelligence, Data Engineering, or equivalent professional experience
Experience as an AI Engineer, Machine Learning Engineer, Cloud Engineer, Data Engineer, or similar role
Strong hands-on experience working with AWS in production environments
Experience designing, developing, and deploying Generative AI or LLM-based applications
Experience building scalable cloud-native applications and services
Strong understanding of software engineering principles, APIs, and distributed architectures
Ability to work effectively in multidisciplinary environments
Professional proficiency in English.

Technical & Professional Skills

Amazon Bedrock, Foundation Models, Knowledge Bases, Retrieval-Augmented Generation (RAG), and agent-based AI architectures
AWS cloud services including Lambda, ECS, Fargate, RDS, IAM, and Step Functions
IaC using Terraform and cloud-native architecture design principles
Python development, REST API design, service integration, and modern software engineering practices
Git, version control, and collaborative development methodologies
Strong understanding of scalability, security, performance, and maintainability within AWS environments
Strong analytical, problem-solving, and solution design capabilities, with the ability to translate business requirements into technical solutions.

Nice to Have

French language skills
Amazon Cognito, AWS security and networking, and CI/CD automation for cloud and AI applications
Snowflake, vector databases, semantic search, and enterprise data integration
LLM evaluation, monitoring, observability, and AI application governance
Docker, containerisation, and experience deploying distributed cloud solutions
Experience industrialising AI and Machine Learning solutions from PoC to production
AWS certifications
Experience in consulting or client-facing environments
Exposure to international projects or multicultural teams

What Makes You Successful

You focus on outcomes rather than activity.
You approach challenges with curiosity and pragmatism.
You communicate complex concepts in a clear and accessible way.
You are comfortable navigating ambiguity and finding practical solutions.
You contribute to collective intelligence by sharing knowledge and supporting others.
You combine autonomy with collaboration.
You continuously look for opportunities to improve systems, processes, and results.

What We Offer at Keyrus Portugal

Competitive salary aligned with your experience and the data market
Meal allowance: €10.20/day
Flexible benefits plan
Private medical insurance
22 days of annual leave, increasing every 3 years (up to 25 days)
Continuous learning via KLX – Keyrus Learning Experience
A collaborative, international, and human-centred work environment

How Our Salary Ranges Work

At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.

Bottom of the range
You meet the core requirements and will need ramp-up time and support.
Middle of the range
You are fully autonomous from Day 1 and deliver consistently.
Top of the range
You are a reference for the role, mentor others, and raise the bar for the team.

Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.

**Responsible AI & Recruitment

At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.**

To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews. AI is never used to make decisions.

To ensure fairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process is strictly prohibited.

Our commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.

️ Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.

Equal Opportunity Statement

We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.

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