Top Artificial Intelligence Jobs in Lisbon

The Senior Process Engineer will develop innovative process technologies, ensure scalability of manufacturing solutions, and collaborate with cross-functional teams to enhance product quality and efficiency.

Join JP Morgan Chase's Software Engineer Program, engaging in software design, development, and technical troubleshooting while working collaboratively on diverse projects.

Lead Software Engineer responsible for delivering technology solutions, developing production code, improving operational stability, and leading teams in adopting new technologies.

As a Software Engineer III, you will design, develop, and troubleshoot software solutions while ensuring quality and security in collaboration with your agile team.

The IT Support Expert will guide product teams, champion IT service transformation using AI, supervise AI agents, and innovate IT support processes.

As a Technical Adoption Architect, you'll lead AI adoption projects, manage customer engagements, ensure successful implementations, and collaborate across teams to enhance customer satisfaction.

As a Technical Adoption Architect, you will work on integrating AI technologies, managing customer engagements, and improving processes for customer satisfaction.

Develop solutions using MBSE tools, streamline systems engineering, create development tools, and collaborate on training materials for MBSE/DE practices.

Join a team to build AI-powered solutions for government contracting, focusing on software engineering practices including coding, testing, and collaborating with leads.

Develop and maintain scalable systems using Java or Python, ensuring software quality, stability, and operational excellence within an agile environment.

As a Senior Lead Software Engineer, you will provide technical guidance, develop production code, and influence product design while ensuring operational stability and quality.

Design and deliver secure technology products, develop production code, maintain algorithms, analyze data, and enhance software hygiene within an agile team.

As an Experienced Software Engineer, design and develop resilient systems using Java or Python, focusing on software solutions and operational stability while following agile methodologies.

The Experienced Software Engineer designs and develops scalable systems, participating in solutions execution and maintaining production code, ensuring high quality and system stability.

As an Experienced Software Engineer, you will design and develop scalable systems using Java or Python, ensuring code quality and performance improvements while collaborating with agile teams.

As a Software Engineer, you'll develop API solutions, troubleshoot technical issues, implement CI/CD practices, and ensure software stability and security.

As a Software Engineer at JPMorgan Chase, design and develop systems using Java or Python, focusing on performance, security, and continuous improvement in an agile environment.

The Principal Cybersecurity Architect will lead architecture development, advise teams on technology, create secure systems, and communicate risks effectively.

The Ethics & Compliance Business Partner in Canada will drive ethical decision-making, strategic risk leadership, and cultural initiatives within the organization, while ensuring alignment with core corporate values.

The Lead Software Engineer develops and improves technology products, implements solutions, and leads evaluation sessions while overseeing code quality and team initiatives.

The Senior Internal Auditor will handle audit engagements, evaluate management controls, communicate findings, and drive efficiencies in processes through technology.

The Principal Content Contributor leads content creation and development for training on AI and related technologies, ensuring impactful learning experiences.

The Technology Content Contributor designs and authors digital content, collaborates on learning outcomes, and enhances learner experiences through technology-focused courses.

The role involves designing and building advanced machine learning systems, leading technical oversight, and developing strategic capabilities in a remote setting.

Lead data strategy execution, ensuring data governance, quality, and integration. Manage projects, coordinate stakeholders, and mitigate data risks while fostering a data-driven culture.