AI/ML Expert

Nokia

AI/ML Expert developing and optimizing agentic AI solutions for optical networks. Leading architecture and implementation of innovative AI technologies at Nokia.

Posted 7/18/2026full-timeBangalore • 🇮🇳 IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML engineering and solution architecture, with a focus on developing intelligent applications and optimizing workflows through automation. Proficient in implementing end-to-end AI solutions while adhering to software engineering best practices and responsible AI principles.

Highest-signal resume keywords

AI/ML EngineeringSolution ArchitectureGenerative AI TechnologiesCloud Platforms (GCP)Human-in-the-Loop Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Agentic AI SolutionsPrompt EngineeringVector DatabasesModel Evaluation TechniquesAPIsCI/CDReinforcement LearningData EngineeringKnowledge GraphsSemantic Search Architectures

Tools & Technologies

Automation PlatformsVersion ControlTesting FrameworksDeployment ToolsOptical NetworkingIP NetworkingTransport Technologies

Industry Keywords

AI-Driven AutomationProcess EfficiencyOperational ScalabilityIntelligent ApplicationsMulti-Agent Systems

Tech Stack

Tools & technologies

CloudGoogle Cloud Platform

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.
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.

Benefits

Comp & perks

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