Senior AI Architect (d/m/f) Lisboa

Responsibilities

• Provide guidance on the design and integration of cloud infrastructures (Azure, AWS) and AI technologies.
• Design and implement scalable Data & AI architectures, driving the development of modern AI infrastructures.
• Collaborate with AI engineers and data scientists to build robust data pipelines, optimize MLOps/LLMOps workflows, and ensure smooth model deployment.
• Ensure data quality, security, and compliance through governance frameworks, system hardening, encryption, access control, and alignment with data protection regulations.
• Support the team in developing expertise in AI architecture through technical mentoring, knowledge sharing, and leadership.
• Monitor current and future trends and advancements in AI, machine learning, and other emerging technologies.
• Implement cost monitoring and usage tracking of AI workloads across cloud platforms to ensure responsible and efficient resource consumption.

Qualifications

• Master’s degree in Computer Science, Data Science, or a related field.
• 5+ years of experience in AI/ML solution architecture.
• Proven experience in AI-related projects from concept to deployment.
• Expertise in cloud technologies (AWS, Azure, GCP, MS Fabric), AI/ML models, MLOps, data pipelines (e. g. , Spark, Kafka), and modern architecture patterns (Data Mesh, Lakehouse).
• Deep hands‑on experience with both traditional machine learning (regression, classification, clustering) and generative AI (transformers, LLMs, prompt engineering) using frameworks such as Scikit‑learn, Tensor
  Flow, and Py
  Torch.
• Proficient in Azure AI services (AI Foundry, Cognitive Services, Azure ML), MLOps practices (CI/CD for ML, model deployment, monitoring), and scalable data processing with tools like Spark, Azure Data Lake, and Kubernetes.
• Strong understanding of responsible AI principles (fairness, explainability, compliance) and a proven ability to align AI solutions with business needs.
• Strong analytical and problem‑solving skills; experience with Agile methods (SCRUM, SAFe).
• Experience in technical leadership roles and working in an international team.
• Excellent communication skills in English and stakeholder management capabilities.

Benefits

• Flexible working hours.
• Training opportunities and structured onboarding and development planning.
• Opportunities for coaching, mentoring, and networking.
• Parking at the place of work.
• Meal allowance.

Employment Details

• Seniority Level: Mid‑Senior level
• Employment Type: Full‑time
• Job Function: Information Technology and Other
• Industry: Semiconductor Manufacturing

EEO Statement

ams OSRAM is an Equal Employment Opportunity Employer. Diversity, equity, and inclusion is strongly established in our corporate culture and we firmly believe it makes us more successful as a company. All qualified applications will receive consideration for employment regardless of ethnic, national or social origin, gender, gender identity, sexual orientation, color, religion, age, physical and mental abilities.

Contact: DARIA. BEREZOVA@AMS-OSRAM. COM