As an Agentic AI Engineer, you will be at the forefront of AI innovation, working with a diverse team to create intelligent, autonomous systems. Your role is pivotal in enhancing our products and services, ensuring they are at the cutting edge of technology. You will collaborate with cross-functional teams, applying your expertise to develop and implement AI strategies that drive our business forward.
Responsibilities- Design, 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.
Must-Have:
- Bachelor’s degree with 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.
Nice-to-Have:
Experience with LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, OpenAI Agents SDK, or equivalent agent orchestration frameworks.
orchestration frameworks for intelligent automation.
Automated infrastructure provisioning and management using Terraform and Infrastructure as Code (IaC) practices.
Designed and deployed cloud-based solutions on Azure, AWS, and Google Cloud platforms.
Applied MLOps best practices for enterprise AI deployments and leveraged automation certifications to deliver scalable, reliable solutions.
Skills Required
- Bachelor's degree with 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
- Knowledge of software engineering best practices including APIs, automation platforms, version control, testing, CI/CD, deployment, and responsible AI principles (governance, security, privacy)
- Experience with LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, or OpenAI Agents SDK
- Automated infrastructure provisioning and management using Terraform and Infrastructure as Code (IaC)
- Designed and deployed cloud-based solutions on Azure, AWS, and Google Cloud
- Applied MLOps best practices for enterprise AI deployments and relevant automation certifications
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.
