Azure and Databricks - AI Solution Architect

Azure and Databricks - AI Solution Architect

Job Role: Azure & Databricks AI Solution Architect

Skill: Azure and Databricks

Skill Level: Senior

Location: Bucharest / All Romania 

Role Overview

We are looking for a Senior Azure & Databricks AI Solution Architect with experience designing enterprise solutions across Commerce/Search, Customer Service and Back Office, and AI/Agentic workflows.

The role combines cloud and data architecture with AI solution design, including both functional capabilities and non-functional requirements such as governance, scalability, security, and operational considerations. Experience with B2B Commerce and the Electronics industry is considered an advantage.

Key Responsibilities

• Design scalable and secure solutions using Microsoft Azure and Databricks.
• Define architecture for enterprise Commerce and Search solutions.
• Design solutions supporting Customer Service and Back Office processes.
• Architect AI and Agentic workflows, covering both functional and non-functional requirements.
• Define architecture principles for AI-powered workflows, automation, and intelligent decision-making.
• Establish appropriate governance, security, scalability, reliability, and operational standards for AI and agentic solutions.
• Leverage Databricks capabilities for AI/ML and enterprise data platforms.
• Apply MLflow for machine learning lifecycle and experiment management.
• Apply knowledge of data platform architecture and theory to design robust AI and analytics solutions.
• Develop or review Python-based components supporting AI, data, and agentic workflows.
• Evaluate and apply appropriate frameworks and technologies for workflow orchestration.
• Contribute to architecture decisions, technical design, and solution governance.
• Collaborate with business, product, engineering, data, and AI stakeholders.
• Translate business and functional requirements into scalable technical architectures.
• Ensure solutions align with enterprise architecture, security, governance, and delivery standards.

Required Technical Skills

• Strong experience with Microsoft Azure architecture and cloud services.
• Strong experience with Databricks.
• Knowledge of MLflow.
• Strong understanding of data platform architecture and principles.
• Strong Python skills.
• Experience designing AI and Agentic AI solutions.
• Understanding of both functional and non-functional requirements for AI/agentic workflows.
• Experience with AI governance and enterprise AI architecture considerations.
• Architecture experience in one or more of:
• • Commerce
  • Search
  • Customer Service
  • Back Office
• Ability to design scalable, secure, and maintainable cloud and AI solutions.

Desired Skills

• Experience with LlamaIndex Workflows.
• Experience designing and implementing agentic workflow architectures.
• Experience with AI workflow orchestration and tool integration.
• Experience with B2B Commerce.
• Experience in the Electronics industry.
• Experience with enterprise search and AI-powered search solutions.

Domain Expertise

The role will benefit from experience across the following business domains:

Commerce & Search

• E-commerce architectures
• Enterprise search
• Commerce platforms and search capabilities
• AI-enabled commerce experiences

Customer Service & Back Office

• Customer service workflows
• Back-office processes
• Workflow automation
• Intelligent process support

AI & Agentic Workflows

• Agentic AI architecture
• AI-powered workflows
• Workflow orchestration
• AI governance
• Functional and non-functional AI requirements
• Security, scalability, reliability, and operational considerations

B2B / Electronics – Nice to Have

• B2B commerce
• Electronics industry
• Complex product/catalog environments

Architecture & Leadership Skills

• Strong architectural thinking and solution-design capabilities.
• Ability to make and communicate technical architecture decisions.
• Strong stakeholder management and consulting skills.
• Ability to bridge business requirements, AI capabilities, data architecture, and cloud technologies.
• Strong analytical and problem-solving skills.
• Ability to work with distributed, multidisciplinary teams.
• Strong communication and presentation skills.