Jobs
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
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Experience in software engineering practices like DevOps, Agile Methodologies, Continuous Integration, Test Automation, Micro-Services, xaaS models is desired
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Prior Experience in Network Management Solutions and Access Technologies(e.g. PON)
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Expertise in management & control plane protocols like NETCONF/YANG, IPFIX, GRPC, etc
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Lead active research and innovation in AIOps and Agentic AI, delivering practical solutions for real-world customer use cases.
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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.
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Stay ahead of industry trends in network management technologies and software engineering practices, identifying and driving adoption of the most impactful advancements.
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Engage directly with customers to understand real-world use cases, rapidly design and develop prototypes, and incorporate immediate feedback into solution refinement.
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Partner closely with engineering teams to translate architectural vision into high-quality, scalable product implementations.
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Mentor and coach a globally distributed engineering organization to ensure strong design principles, high performance, and product quality.
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Contribute to cross-functional and cross-BU R&D discussions, influencing product evolution and continuous improvement initiatives.
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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
PublicNokia 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
Reviews
3.6
25 reviews
Work Life Balance
3.8
Compensation
2.7
Culture
3.9
Career
2.9
Management
2.8
65%
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Pros
Good work-life balance and flexible schedules
Strong company culture and nice people
Excellent benefits and learning opportunities
Cons
Low salary and compensation issues
Limited growth and career opportunities
Frequent leadership changes and lack of direction
Salary Ranges
22 data points
JG9
L5
Mid/L4
Staff/L6
JG9 · Data Scientist JG9
0 reports
$146,667
total / year
Base
-
Stock
-
Bonus
-
$124,667
$168,667
Interview Experience
7 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
57%
Experience
Positive 14%
Neutral 72%
Negative 14%
Interview Process
1
Application Review
2
Technical Phone Screen
3
Technical Interview
4
HR Interview
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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