Domain Architect

Há 6 dias


Amadora, Lisboa, Portugal Nokia Tempo inteiro

Job Description
In this role, you will lead the design, operationalization, and scaling of intelligent systems—from LLM-powered solutions to autonomous AI agents—driving innovation across multiple industries.

This position is ideal for a visionary architect with a passion for pushing AI boundaries and transforming cutting-edge research into production-ready systems. You will play a strategic leadership role, working closely with global teams to deliver advanced AI solutions that meet enterprise demands for scalability, security, and performance.

How You Will Contribute And What You Will Learn

  • Lead the design and scaling of advanced AI solutions, focusing on LLM-powered systems and autonomous agents.
  • Build and optimize end-to-end ML pipelines, implementing MLOps best practices for model deployment and monitoring.
  • Develop and operationalize generative AI solutions, including fine-tuning, prompt engineering, and RAG pipelines.
  • Integrate autonomous decision-making frameworks with existing AI/ML systems for enhanced workflow orchestration.
  • Collaborate with cross-functional global teams to translate AI/ML use cases into production-ready systems.
  • Manage cloud-native AI/ML infrastructure, ensuring functionality across multi-cloud/hybrid environments.
  • Ensure observability and governance for AI systems, focusing on compliance, fairness, and model drift.
  • Support PoCs, customer pilots, and production rollouts while creating accelerators for faster time-to-market.

Key Skills And Experience
If you have:

  • Bachelor's/Master's in Computer Science, Data Engineering, AI/ML, or related field
  • 10+ years of AI/ML engineering experience, including 5+ years in MLOps
  • Proven experience with LLM platforms and GenAI ecosystems (e.g., OpenAI, Anthropic)
  • Strong proficiency in Python, PyTorch, TensorFlow, and SQL

It would be nice if you also had:

  • Experience with Ab-initio data management platform
  • Familiarity with telecom data products and autonomous networks use cases
  • Knowledge of vector databases and retrieval-augmented generation (RAG)
  • Contributions to open-source AI/ML or GenAI frameworks

About Us
Come create the technology that helps the world act together
Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people's lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.

We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer
Nokia has received the following recognitions for its commitment to inclusion & equality:

  • One of the World's Most Ethical Companies by Ethisphere
  • Gender-Equality Index by Bloomberg
  • Workplace Pride Global Benchmark

At Nokia, we act inclusively and respect the uniqueness of people. Nokia's employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.

We are committed to a culture of inclusion built upon our core value of respect.

Join us and be part of a company where you will feel included and empowered to succeed.

About The Team
As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.


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