Data and AI Solution Architect
Full-time
EPAM
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 (data analysts, product managers, data scientists, engineers, client business and technical stakeholders, including the client's top management) 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
- Nice to have Azure certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect).
- Familiarity with DevOps practices for Data and AI/ML projects.
- Experience with Power BI, Delta Lake, and Azure Data Factory.
- Claude's professional certification.
Vacancy posted 16 hours ago
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