Principal Architect AI And Wireless Technologies

Infinera Corporation; Bengaluru; Vor Ort; INR 3.800.000 - 7.000.000; Vollzeit

Benefits dieser Stelle

Flexible and hybrid working

Health and well-being support

Maternity and paternity leave

Zusammenfassung

Nokia in Bengaluru, India invites a Principal Architect - AI & Wireless Technologies to define and implement technologies for Wireless Network evolution, driving AI/ML adoption and simplifying architecture to boost operations.

You will lead end-to-end designs for Core, RAN, edge and data center interfaces, collaborate across teams, and present high-quality artifacts in technical forums while shaping future technology directions.

Qualifikationen

• 12+ years hands-on experience in CS/Networks/telecom
• Building and tuning AI models (ML, LLM, SLM) and optimizations
• Hands-on design and development with C, C++, Python
• Experience in telecom network architecture and standards
• Strong systems engineering focusing on performance, resiliency, scalability, security and operability
• Technical leadership in complex, cross-functional programs and architecture decisions
• Working knowledge of AI/ML for network automation

Aufgaben

• Define technology architecture and implementation for AI-enabled wireless networks
• Drive target architecture for Core, RAN, edge, ISAC, NTN
• Collaborate with Core, RAN, transport, data center teams for end-to-end design
• Represent Architecture in technical forums with quality artifacts
• Evaluate new technologies and set future directions
• Guide end-to-end system designs based on customer needs

Kenntnisse

Agentic AI

AI/ML

Wireless

C

C++

Python

AI for network automation

Systems engineering

Ausbildung

Bachelor's or higher in CS / Networks / Telecommunications

Tools

Kubernetes

Jobbeschreibung

Job Description

As the Principal Architect - AI & Wireless Technologies, you will be at the forefront of defining and implementing technologies for Wireless Network evolution. Your role is pivotal in ensuring the networks readiness for emerging services and technologies. You will drive the adoption of AI/ML, simplify architecture, and enhance operational efficiency, all while maintaining strong collaboration with other network architecture teams.

Responsibilities

• The candidate will be hands on technologist with agentic AI, model building/tuning skill sets as well as wireless technology background




• Own and drive Technology definition, including target architecture, design, and implementation.Scope includes Agentic/AI core, System & software architectures targeting upcoming network technologies with domain specific AI models for Core, RAN, Physical AI, ISAC, NTN.




• Identify technology gaps, priorities, align engineering, product teams, partner with Core, RAN, transport, edge, and data center teams for coherent end-to-end network design.




• Represent Architecture in technical forums, presenting high-quality artifacts.




• Evaluate new technologies and set future technology capability directions.




• Guide and create end-to-end system designs, considering customer needs and business objectives.

Qualifications

You have:

• University or college degree in either Computer Science, Networks, Telecommunications, or related field with 12+ or more years of hands-on experience.




• Building & tuning AI models (ML, LLM, SLM), its’ optimizations for performance, size




• Hands on design, development skills with C, C++, Python, AI assisted SW / system development




• Experience in telecom network architecture, its’ standards/specifications




• Strong systems engineering skills, focusing on performance, resiliency, scalability, security, and operability.




• Technical leadership experience in complex, cross-functional technical programs and senior-level architecture decision-making.




• Working knowledge of AI/ML applications for network automation and operational simplification.

It would be nice if you also had:

• Experience with cloud-native network functions, Kubernetes, and distributed/edge cloud architectures.




• Excellent communication and collaboration skills, with the ability to influence and mentor others.




• Hands-on experience with observability and operations tooling for carrier-grade systems.




• Standards participation, patents, or publications in mobile core networking and automation.

Advancing connectivity to secure a brighter world.

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.

Learn more about life at Nokia.

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 roles requirements. We strive to ensure a smooth and inclusive experience for all candidates.

Discover more about the recruitment process at Nokia.

Some of our benefits in India:

• Flexible and hybrid working arrangements to support work–life balance


• Health and well-being support – medical insurance for you and your family, health check-ups, life and accident insurance, well-being programs, and employee resource groups


• A minimum of 90 days of Maternity and Paternity Leave based on eligibility


• Personal Support Service 24/7 – a confidential support channel open to all Nokia employees and their families in challenging situations


• Career growth & mobility – technical career paths, job rotations, international assignments, and relocation support


• Continuous learning – technical certifications, mentoring programs, coaching, and digital learning platforms


• Opportunities to innovate and contribute through Nokia’s research and development environment


• Recognition programs that celebrate outstanding contributions


• Workplace support – ergonomic working support and mobile device programs based on eligibility