senior ai solution designer

As a Senior AI Solution Designer you will be placed in Group Data & AI and you will be responsible for the end-to-end AI architecture and standards to ensure robustness, reusability, scalability and cost efficiency of AI solutions.

What you will be doing

• Responsible for the design and continuous evolution of the Bank’s end-to-end AI architecture, including GenAI and Large Language Model (LLM) capabilities, ensuring alignment with the overall Enterprise IT Architecture. 

• Defines architecture standards, reusable frameworks and best practices for scalable and secure AI solution delivery across business domains. 

• Defines enterprise integration patterns for embedding AI capabilities into banking applications, digital channels and core business processes. 

• Designs agentic AI solutions, including multi-agent architectures, orchestration layers, tool integration and autonomous workflow patterns. 

• Designs AIOps / MLOps architecture and tooling, including model lifecycle management, repository versioning, CI/CD automation, deployment controls and production monitoring. 

• Drives optimization of AI platforms, pipelines and deployed solutions with focus on scalability, resilience, performance and cost efficiency. 

• Ensures AI solutions comply with internal governance, security, privacy and regulatory requirements in collaboration with Risk, Security and Data Governance functions. 

• Collaborates closely with, IT Business Areas, Data Governance and Quality, Cybersecurity and business stakeholders to accelerate AI adoption across the Bank. 

• Provides technical mentoring and architecture guidance to Data Science and Data Engineering teams. 

• Evaluates emerging AI technologies, market trends and vendor solutions to inform the Bank’s AI roadmap and future-state architecture.

What you need to have

• A Bachelor’s degree in Computer Science, Engineering or other related field of study

• A Masters' degree in a relevant field of study (preferred)

• At least five (5) years of professional experience in data engineering and data architecture, of which 2+ in AI projects

• Strong expertise in genAI and agentic AI

• Experience in knowledge retrieval and RAG architectures, incl. experience with vector databases, embeddings and semantic search

• Watsonx & Copilot Studio exposure (nice to have)

• Strong expertise in enterprise data architecture, data management and scalable AI solution design within complex technology environments.

• Hands-on experience with Advanced Analytics, Machine Learning and Natural Language Processing, with strong mandatory expertise in GenAI and Large Language Models.

• Solid understanding of agentic AI frameworks, orchestration patterns and AI integration approaches for enterprise-grade use cases.

• Experience designing and implementing RAG architectures, including vector databases, embeddings, semantic search and knowledge retrieval patterns.

• Knowledge of model lifecycle management and LLMOps practices, including evaluation, monitoring, guardrails, versioning and production readiness controls.

• Exposure to IBM Watsonx, Copilot Studio, Microsoft Graph extensibility or plugin development will be considered an asset.

What we offer
 
It’s all about our people. At Alpha Bank, you will enjoy:
 
•    A friendly and collaborative working environment that supports taking initiative and action.
•    A culture that centers around learning and continuous development and encourages everyone to bring their best self to work.
•    The opportunity to challenge your thinking through your participation in complex tasks and transformation projects.
•    Being part of a large organization with a leading role in the Greek economy and a strong presence in the community.
•    Flexible working options.
•    A competitive salary and benefits.