Artificial Intelligence (AI) Solutions Architect

Lenovo; Warszawa; Remote; PLN 250,000 - 350,000; Full time

Job summary

A leading company in technology seeks an experienced Artificial Intelligence (AI) Solutions Architect in Warsaw. The role involves supporting AI service offerings, working with clients to integrate market requirements, and architecting AI infrastructure solutions. The ideal candidate has significant experience in AI/ML, cloud platforms, and strong communication skills.

Benefits

Flexible working hours

Remote work opportunities

Career development programs

Qualifications

• 7+ years architecting AI/ML solutions.
• Experience with AWS, Azure, or GCP required.
• Hands-on experience with automation tools for AI environments.

Responsibilities

• Support AI service offerings for enterprise customers.
• Architect full-stack AI infrastructure solutions.
• Deliver presentations in support of service strategies.

Skills

Artificial Intelligence

Machine Learning

Data Engineering

Communication Skills

Strategic Relationship Management

Education

Bachelor's degree or MBA

Tools

TensorFlow

PyTorch

Terraform

Ansible

Kubernetes

Job description

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Artificial Intelligence (AI) Solutions Architect, Warsaw

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Client:

Location:

Warsaw, Poland

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

20c8ec79f054

Job Views:

5

Posted:

03.07.2025

Expiry Date:

17.08.2025

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Job Description:

Description and Requirements

Position Description:

Lenovo is seeking an experienced Artificial Intelligence (AI) Solutions Architect who will play a key role in supporting the development and deployment of AI-related service offerings, including Professional and Managed Services.

The chosen candidate will be part of Lenovo Solutions & Services Group (SSG) as a member of the Center of Excellence team, driving service offering design and definition for our Professional Services, Managed Services, and TruScale Services businesses.

•This role is primarily internal but includes some customer-facing work.

• This is a remote-only role.

In this role you will:

• Support the development and delivery of AI service offerings for enterprise, research, and government customers.

• Work with leading enterprises, research institutions, and cloud providers to integrate customer and market requirements into AI service offerings and technology roadmaps.

• Architect full-stack AI infrastructure solutions, including compute, networking, storage, security, and model lifecycle management components, to support AI workloads.

• Demonstrate expertise in AI and machine learning (ML) technologies, including deep learning frameworks (TensorFlow, PyTorch), data pipelines, model training, inferencing, and MLOps.

• Leverage experience with on-premises, hybrid, and cloud-based AI environments, optimizing model training and deployment strategies.

• Work across internal teams, divisions, and external partners to develop and deliver innovative AI solutions that drive business and research advancements.

• Demonstrate strong written and verbal communication skills, with the ability to present AI solutions to customers, internal stakeholders, and partners.

• Drive strategic relationships with AI-driven enterprises, research institutions, cloud service providers (CSPs), and technology partners.

• Act as the technical lead for AI-based infrastructure solutions, collaborating with the AI Practice leader throughout the service offering lifecycle, including:

o Assisting in the creation of new AI service offerings, from concept development to implementation guidance.

o Leading initial implementations alongside Technical Consultants.

• Deliver presentations in support of:

o Offering development and go-to-market strategies.

o Field enablement and training initiatives.

• Assist in documentation of project requirements, statements of work, and service descriptions.

• Collaborate with business partners to enhance AI solution capabilities and integration.

Qualifications:

• Bachelor's degree, MBA, or equivalent experience required.

• 7+ years of experience architecting and deploying AI/ML solutions.

• Minimum of 5+ years of experience working with at least one cloud platform (AWS, Azure, GCP) or on-premises AI infrastructure.

• Proven expertise in designing, developing, and delivering large-scale AI/ML platforms and solutions.

• Experience implementing AI infrastructure architectures with defined scalability, fault tolerance, and security best practices.

• Strong background in AI system design, ML model development, GPU-accelerated computing, and data engineering.

• Hands-on experience with automation tools such as Terraform, Ansible, and Kubernetes for AI environments.

• Certification in AI/ML technologies or cloud-based AI solutions preferred.

Preferred Skills:

• Experience developing AI infrastructure strategy and reference architectures for enterprise-scale deployments.

• Hands-on expertise in AI hardware, software, and cloud-native architectures for deep learning, NLP, and computer vision workloads.

• Experience designing and implementing highly available, secure, and scalable AI solutions.

• Strong programming skills (Python, TensorFlow, PyTorch, CUDA) for AI model development and optimization.

• Deep knowledge of high-performance computing (HPC) for AI workloads, including GPU/TPU architectures.

• Experience with AI model monitoring, observability, and continuous learning frameworks.

• Expertise in defining and delivering AI/ML migration, implementation, operations, and optimization initiatives.

• Industry knowledge in key AI-driven sectors such as healthcare, finance, automotive, and manufacturing.

• Experience in systems integration and managing direct/channel sales engagements.

• Strong understanding of AI containerization, workflow management, and cloud-based AI training.

• Demonstrated ability to present technical AI solutions and recommendations to customers, engineering teams, and leadership.

• Experience in a customer-facing AI services environment, providing professional and managed services.

• TOGAF 9 Certified or equivalent architecture framework certification preferred.

You will report to SSG (Solutions & Services Group) organization structure.

SSG has been focusing on the expanding IT service market, especially the digital workplace services opportunity, the growing demand for aaS (as a Service) model, and customers’ stronger preference for sustainability services. Meanwhile, SSG has continued to invest in software tools, platforms, and repeatable vertical solutions with our own IP, and focus on vertical solutions in manufacturing, retail, healthcare, education, and Smart City. We are expanding TruScale as a Service to include Digital Workplace Solutions, developing our Hybrid Cloud solutions, and exploring Metaverse solutions.

Description and Requirements

Position Description:

Lenovo is seeking an experienced Artificial Intelligence (AI) Solutions Architect who will play a key role in supporting the development and deployment of AI-related service offerings, including Professional and Managed Services.

The chosen candidate will be part of Lenovo Solutions & Services Group (SSG) as a member of the Center of Excellence team, driving service offering design and definition for our Professional Services, Managed Services, and TruScale Services businesses.

•This role is primarily internal but includes some customer-facing work.

• This is a remote-only role.

In this role you will:

• Support the development and delivery of AI service offerings for enterprise, research, and government customers.

• Work with leading enterprises, research institutions, and cloud providers to integrate customer and market requirements into AI service offerings and technology roadmaps.

• Architect full-stack AI infrastructure solutions, including compute, networking, storage, security, and model lifecycle management components, to support AI workloads.

• Demonstrate expertise in AI and machine learning (ML) technologies, including deep learning frameworks (TensorFlow, PyTorch), data pipelines, model training, inferencing, and MLOps.

• Leverage experience with on-premises, hybrid, and cloud-based AI environments, optimizing model training and deployment strategies.

• Work across internal teams, divisions, and external partners to develop and deliver innovative AI solutions that drive business and research advancements.

• Demonstrate strong written and verbal communication skills, with the ability to present AI solutions to customers, internal stakeholders, and partners.

• Drive strategic relationships with AI-driven enterprises, research institutions, cloud service providers (CSPs), and technology partners.

• Act as the technical lead for AI-based infrastructure solutions, collaborating with the AI Practice leader throughout the service offering lifecycle, including:

o Assisting in the creation of new AI service offerings, from concept development to implementation guidance.

o Leading initial implementations alongside Technical Consultants.

• Deliver presentations in support of:

o Offering development and go-to-market strategies.

o Field enablement and training initiatives.

o Service delivery execution.

• Assist in documentation of project requirements, statements of work, and service descriptions.

• Collaborate with business partners to enhance AI solution capabilities and integration.

Qualifications:

• Bachelor's degree, MBA, or equivalent experience required.

• 7+ years of experience architecting and deploying AI/ML solutions.

• Minimum of 5+ years of experience working with at least one cloud platform (AWS, Azure, GCP) or on-premises AI infrastructure.

• Proven expertise in designing, developing, and delivering large-scale AI/ML platforms and solutions.

• Experience implementing AI infrastructure architectures with defined scalability, fault tolerance, and security best practices.

• Strong background in AI system design, ML model development, GPU-accelerated computing, and data engineering.

• Hands-on experience with automation tools such as Terraform, Ansible, and Kubernetes for AI environments.

• Certification in AI/ML technologies or cloud-based AI solutions preferred.

Preferred Skills:

• Experience developing AI infrastructure strategy and reference architectures for enterprise-scale deployments.

• Hands-on expertise in AI hardware, software, and cloud-native architectures for deep learning, NLP, and computer vision workloads.

• Experience designing and implementing highly available, secure, and scalable AI solutions.

• Strong programming skills (Python, TensorFlow, PyTorch, CUDA) for AI model development and optimization.

• Deep knowledge of high-performance computing (HPC) for AI workloads, including GPU/TPU architectures.

• Experience with AI model monitoring, observability, and continuous learning frameworks.

• Expertise in defining and delivering AI/ML migration, implementation, operations, and optimization initiatives.

• Industry knowledge in key AI-driven sectors such as healthcare, finance, automotive, and manufacturing.

• Experience in systems integration and managing direct/channel sales engagements.

• Strong understanding of AI containerization, workflow management, and cloud-based AI training.

• Demonstrated ability to present technical AI solutions and recommendations to customers, engineering teams, and leadership.

• Experience in a customer-facing AI services environment, providing professional and managed services.

• TOGAF 9 Certified or equivalent architecture framework certification preferred.

You will report to SSG (Solutions & Services Group) organization structure.

SSG has been focusing on the expanding IT service market, especially the digital workplace services opportunity, the growing demand for aaS (as a Service) model, and customers’ stronger preference for sustainability services. Meanwhile, SSG has continued to invest in software tools, platforms, and repeatable vertical solutions with our own IP, and focus on vertical solutions in manufacturing, retail, healthcare, education, and Smart City. We are expanding TruScale as a Service to include Digital Workplace Solutions, developing our Hybrid Cloud solutions, and exploring Metaverse solutions.

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