AI Solution Architect

●

8 months ago

Greece, Attiki, Athens

Full Time

Mid-Level

On-Site

Basic Information

AI Solution Architect (Attica)

The world of energy is constantly growing and evolving! At PPC (Public Power Corporation), we are looking for people with enthusiasm, knowledge, and positive energy, who want to take their careers one step further. With a team spirit, trust, and empathy, we strive to create a work environment with equal opportunities and respect for everyone, without discrimination.

If you are interested in your personal and professional development in an environment with a pleasant atmosphere and favorable benefits, we invite you to submit your application today. Your future is here!

Find your place in the world of energy. Apply now!

Responsibilities

Designs end-to-end architectures for AI/ML projects, including data pipelines, models, and deployment
Collaborates with data scientists, developers, and business teams to understand needs and translate them into technical solutions
Selects appropriate technologies, frameworks, and tools for each project to ensure effective implementation
Ensures scalability, security, and sustainability of solutions
Coordinates development teams and monitors the project lifecycle (PoC → MVP → Production)
Provides guidance on ethical AI, data governance, and compliance

Requirements

Amazon Web Services (AWS)

Artificial Intelligence

Extract Transform Load (ETL)

Google Cloud Platform (GCP)

Microsoft Azure

PyTorch

Solution Architecture

TensorFlow

Bachelor’s degree from a University or College or Technological Educational Institute in Sciences, Technology, or Computer Science
Master's degree in Computer Science, Data Architecture or Data Science will be considered an additional qualification
At least two (2) years of relevant experience in AI architecture and/or ML solutions
Certification in a Cloud environment (Azure, GCP, AWS), such as AWS Solutions Architect, AZ-303/AZ-304 (Azure Solutions Architect Expert), DP-203 (Azure Data Engineer Associate), AI-100 (Azure AI Engineer Associate), Google Cloud Professional Cloud Architect will be considered an additional qualification
Knowledge of LLMs, NLP, generative AI, agentic frameworks and recommender systems
Programming skills in Python and ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn
Knowledge of Data Engineering Spark, Airflow, Kafka, SQL/NoSQL, ETL pipelines
Familiarity with Cloud Platforms: AWS (SageMaker), Azure (ML Studio), GCP (Vertex AI) will be considered an additional qualification
Knowledge of MLOps: MLflow, Kubeflow, CI/CD pipelines for models and DevOps/Containers: Docker, Kubernetes will be considered an additional qualification
Good knowledge of the English language
Availability in case of emergency (upon phone contact)

Benefits

Continuous education

Private health insurance

Inclusive working environment
Continuous training and participation in development activities
Group health and life insurance program
Reduced electricity consumption invoice

Good to have

Accountability and result orientation
Teamwork and collaboration
Problem-solving and decision-making
Effective communication
Customer orientation
Change management

AI Solution Architect

Basic Information

Responsibilities

Requirements

Benefits

Good to have

About the company

About the company

AI Solution Architect

Basic Information

Responsibilities

Requirements

Benefits

Good to have

About the company

About the company

No longer accepting applications