As a AI/ML Expert – Agentic AI Solutions, we are seeking a talented and ambitious individual to take on this role. In this position, you will have a significant impact on our organization’s success by leading the architecture and development of cutting-edge AI/ML solutions for optical networks. Your work will directly contribute to enhancing network performance, optimizing operations, and strengthening our company’s technological edge.
ResponsibilitiesDesign, develop, and optimize agentic AI solutions for a variety of business and customer use cases.
Transform existing processes and automation tools into intelligent, autonomous, and semi-autonomous workflows.
Define and implement solution architectures for agent orchestration, memory management, tool integration, guardrails, and human-in-the-loop workflows.
Enhance process efficiency, user experience, and operational scalability through AI-driven automation solutions.
Document solution designs, technical decisions, best practices, and implementation guidelines to support scalable delivery and maintenance.
You have:
Bachelor’s degree with 8–12 years of experience in AI/ML engineering and solution development.
Strong experience in AI/ML engineering, solution architecture, and end-to-end AI solution delivery.
Deep understanding of RAG, prompt engineering, vector databases, embeddings, and model evaluation techniques.
Hands-on experience with LLMs, generative AI technologies, and agentic AI frameworks for building intelligent applications and orchestration workflows.
- Strong knowledge of software engineering best practices, including APIs, automation platforms, version control, testing, CI/CD, deployment, and responsible AI principles related to governance, security, and privacy.
It would be nice if you also had:
Knowledge of cloud platforms, preferably Google Cloud Platform (GCP).
Experience with multi-agent systems, planning frameworks, reinforcement learning, and human-in-the-loop workflows.
Basic understanding of optical networking, IP networking, and transport technologies.
- Familiarity with data engineering, knowledge graphs, and semantic search architectures.
Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
Our recruitment process
We act inclusively and respect the uniqueness of people. Our 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.
If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.
The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.
- Flexible and hybrid working schemes
- A minimum of 90 days of Maternity and Paternity Leave, with the option to return to work within a year following the birth or adoption of a child (based on eligibility)
- Life insurance to all employees to provide peace of mind and financial security
- Well-being programs to support your mental and physical health
- Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
- Employee Growth Solutions to support your personalized career & skills development
- Diverse pool of Coaches & Mentors to whom you have easy access
- A learning environment which promotes personal growth and professional development - for your role and beyond
Skills Required
- Bachelor's degree with 8-12 years of experience in AI/ML engineering and solution development
- Strong experience in AI/ML engineering, solution architecture, and end-to-end AI solution delivery
- Deep understanding of RAG, prompt engineering, vector databases, embeddings, and model evaluation techniques
- Hands-on experience with LLMs, generative AI technologies, and agentic AI frameworks for orchestration workflows
- Strong knowledge of software engineering best practices including APIs, automation platforms, version control, testing, CI/CD, and deployment
- Knowledge of responsible AI principles related to governance, security, and privacy
- Knowledge of cloud platforms, preferably Google Cloud Platform (GCP)
- Experience with multi-agent systems, planning frameworks, reinforcement learning, and human-in-the-loop workflows
- Basic understanding of optical networking, IP networking, and transport technologies
- Familiarity with data engineering, knowledge graphs, and semantic search architectures
Nokia Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nokia and has not been reviewed or approved by Nokia.
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Equity Value & Accessibility — Equity programs include a global employee share purchase plan with company matching and multi‑year share awards. These mechanisms broaden participation and tie rewards to long‑term outcomes.
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Healthcare Strength — Health coverage includes major medical plans with supplementary options such as vision, legal services, and care navigation. The range of offerings indicates comprehensive support for medical needs.
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Parental & Family Support — A global policy grants paid leave for new parents regardless of gender and provides structured return‑to‑work support. Company‑paid life insurance further strengthens family protection across regions.
Nokia Insights
What We Do
At Nokia, we create technology that helps the world act together. As a trusted partner for critical networks, we are committed to innovation and technology leadership across mobile, fixed and cloud networks. We create value with intellectual property and long-term research, led by the award-winning Nokia Bell Labs. Adhering to the highest standards of integrity and security, we help build the capabilities needed for a more productive, sustainable and inclusive world.
