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Nokia
Nokia

Limited company.

AI Architect

RoleMachine Learning
LevelMid Level
LocationGreece, United States
WorkOn-site
TypeFull-time
Posted2 months ago
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Required skills

Python

Machine Learning

Join Nokia’s Altiplano AI Innovation team and help shape the future of intelligent broadband networks. As an AI Architect, you will design and deliver next-generation AI and Agentic AI solutions that enable operators to optimize network operations and enhance subscriber experience.

You will collaborate closely with R&D and Product Management teams, working with cutting-edge machine learning technologies embedded in real-world telecom platforms. This role offers the opportunity to drive impactful AI initiatives, experiment with advanced technologies, and build intelligent solutions that solve complex operational challenges.

Must Have:

  • Bachelor or Master’s degree in Computer Science, Mathematics, Physics, Electronics or electrical engineering
  • 7+ years of experience in software engineering, data science, or AI/ML system design, cloud-native architectures, microservices, APIs, and scalable distributed systems
  • Must possess a strong track record of architecting, designing & developing career-grade software
  • Strong background in applied research and translating research concepts into scalable products and data pipelines and MLOps practices and proficiency in Python and ML frameworks.
  • Deep understanding of machine learning, deep learning, and statistical modeling techniques.
  • Fast learner, Strong analytical, problem-solving, and willingness to travel to customer sites as required
  • Strong proficiency in English, both written and spoken
  • Passionate about software design and development with strong analytical, problem-solving and conceptual skills
  • Should be hands-on, i.e. able to jump in to trouble shoot, analyze and find the root cause

Nice to have:

  • Familiarity with observability, telemetry systems, and large-scale time-series data analytics

  • Experience in software engineering practices like DevOps, Agile Methodologies, Continuous Integration, Test Automation, Micro-Services, xaaS models is desired

  • Prior Experience in Network Management Solutions and Access Technologies(e.g. PON)

  • Expertise in management & control plane protocols like NETCONF/YANG, IPFIX, GRPC, etc

  • Lead active research and innovation in AIOps and Agentic AI, delivering practical solutions for real-world customer use cases.

  • Define the architecture and design of network automation applications within the Altiplano Access Controller, playing a key role in shaping the Business Unit’s innovation strategy.

  • Stay ahead of industry trends in network management technologies and software engineering practices, identifying and driving adoption of the most impactful advancements.

  • Engage directly with customers to understand real-world use cases, rapidly design and develop prototypes, and incorporate immediate feedback into solution refinement.

  • Partner closely with engineering teams to translate architectural vision into high-quality, scalable product implementations.

  • Mentor and coach a globally distributed engineering organization to ensure strong design principles, high performance, and product quality.

  • Contribute to cross-functional and cross-BU R&D discussions, influencing product evolution and continuous improvement initiatives.

  • Champion a culture of innovation by generating new ideas and collaborating with customers and internal stakeholders to bring them to life

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About Nokia

Nokia

Nokia

Public

Nokia Corporation is a Finnish multinational telecommunications, information technology, and consumer electronics corporation, originally established as a pulp mill in 1865.

10,001+

Employees

Espoo

Headquarters

$24B

Valuation

Reviews

10 reviews

3.8

10 reviews

Work-life balance

3.7

Compensation

3.2

Culture

4.1

Career

2.8

Management

3.4

72%

Recommend to a friend

Pros

Good benefits

Supportive colleagues/management

Flexible work arrangements

Cons

Limited career advancement/growth opportunities

Management issues (poor communication, lack of direction)

Long hours/high workload

Salary Ranges

28 data points

JG9

Mid/L4

Staff/L6

L5

JG9 · Data Scientist JG9

0 reports

$146,667

total per year

Base

-

Stock

-

Bonus

-

$124,667

$168,667

Interview experience

4 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer rate

25%

Experience

Positive 50%

Neutral 25%

Negative 25%

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

HR Follow-up

5

Offer

Common questions

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience