[Hiring] Data and AI Solution Architect @EPAM Systems

Role Description

We are seeking a highly professional, client-facing Data and AI Solution Architect to drive the design, implementation, and delivery of advanced data and AI solutions for enterprise clients.

• Lead the end-to-end architecture and delivery of data and AI solutions leveraging Azure, MS Fabric, Databricks, and GenAI platforms.
• Design and implement scalable, secure, and innovative data management and analytics platforms, including data lakes and distributed systems.
• Integrate advanced AI technologies (Copilot, Claude, GenAI) into business workflows for automation, analytics, and customer engagement.
• Collaborate with cross-functional teams to define requirements and deliver tailored solutions.
• Provide technical leadership, governance, mentorship, and architectural guidance across multiple project streams and teams.
• Drive data governance, strategy, and process improvements to ensure data accuracy, consistency, security, and compliance.
• Document architectural decisions, workflows, and implementation guidelines for enterprise data and AI platforms.
• Advise clients on platform decentralization, operations models, and enterprise data product protocols.
• Contribute to presales activities, including proposals, SOWs, RFP responses, and business/technical assessments.

Qualifications

• 10+ years of professional experience in data and AI architecture, design, and implementation.
• Expertise in Azure, MS Fabric, and Databricks.
• Background in data lakes and distributed scalable applications.
• Proficiency in Python and SQL.
• Knowledge of GenAI, Copilot, and Claude, along with familiarity with AI agent frameworks.
• Experience with data governance, analytics, as well as CRM and ERP systems.
• Familiarity with the manufacturing domain.
• Proven capability to lead client engagements and deliver strategic advisory on data and AI platform evolution.
• Excellent communication, leadership, and stakeholder management skills.
• Understanding of data privacy, security, and compliance in cloud-based environments.
• Proficient communication skills in English (B2 level or higher).

Requirements

• Azure certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect) - Nice to have.
• Familiarity with DevOps practices for Data and AI/ML projects - Nice to have.
• Experience with Power BI, Delta Lake, and Azure Data Factory - Nice to have.
• Claude's professional certification - Nice to have.