Job Description
Welcome!
Our Growth is Creating Great Opportunities!
Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it! Once you've had a chance to explore our current open positions, apply to the ones you feel suit you best and keep track of both your progress in the selection process, and new postings that might interest you!
Thanks for your interest in working on our team!
As part of Adtran internal AI roadmap, we are seeking an experienced AI Architect to work alongside a cross-functional team of developers and subject matter experts to design and implement enterprise-grade AI solutions that align with our business objectives. This role involves participating in the AI strategy execution, creating scalable architectures, and ensuring compliance with security and governance standards. The role encompasses setting up data structures and a data lake to serve as input for the various AI functions.
Key Responsibilities
Develop and maintain AI architecture frameworks for enterprise applications
Develop a data strategy that includes a data lake and data structures subtending AI algorithms.
Collaborate with stakeholders to identify AI use cases and translate them into technical solutions
Design and implement machine learning pipelines, data ingestion, and model deployment strategies
Ensure AI systems adhere to data privacy, security, and compliance requirements
Evaluate emerging AI technologies and recommend adoption strategies
Provide technical leadership and mentorship to development teams
Required Skills and Qualifications
Minimum of 5 years’ proven experience in AI/ML architecture and solution design
Strong knowledge of cloud platforms (Azure, AWS) and AI services, with at least 5 years of practical experience
Demonstrated 5+ years of experience with generative AI and large language models
Expertise in data engineering, model lifecycle management, and MLOps
Proficiency in Python, TensorFlow, PyTorch, or similar frameworks
Familiarity with enterprise data pipelines/data lake architectures
Understanding of enterprise integration patterns and APIs
Excellent communication and stakeholder management skills
Having implemented an AI architecture in an enterprise setting resolving problems with operations, sales or finance (demand planning, inventory management or forecasting)
Preferred Qualifications
Familiarity with enterprise security and compliance frameworks
Advanced degree in Computer Science, AI, or related field
Implementation of MCP interfaces and AI agents
Compensation and Benefits
Stable employment conditions based on an employment contract (turnover rate below 4%)
1 additional vacation day for all, and 1 extra after 10 years with us
Flexible working hours and hybrid work (presence in the office in Gdynia 3 days a week)
English lessons during working hours
Internal training program to support your training needs
Paid employee referral program
Multisport Card
3% employer contribution to PPK
Private Health Care at Medicover (extended package for employees and possibility to enroll family members)
Strong team-oriented and friendly work culture
Access to various sports activities and events
Modern office (well-equipped gym and playroom) close to the SKM/PKM stations
#LI-Hybrid