Data and AI Solution Architect

RemoteSalary not specified
United States

Job Description, Responsibilities & Requirements

About the Position

We are seeking a highly professional, client-facing Data and AI Solution Architect to drive the design, implementation, and delivery of advanced data (Databricks-based data lake, data migration, and semantic data layer creation) and AI solutions for enterprise clients (Agentic AI for the client, A-SDLC). The ideal candidate will have deep proficiency in cloud, data, and GenAI technologies, with a proven track record in architecting scalable, enterprise-wide, distributed applications across cloud environments.

Responsibilities

  • 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

Requirements

  • 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)

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

Locations

  • Remote in Georgia, USA
  • Remote in USA

Employment Type

  • Full-time

Experience Level

  • Senior

Core Skills

  • Azure
  • MS Fabric
  • Databricks
  • Python
  • SQL
  • GenAI
  • Data governance
  • Data privacy
  • Security

Secondary Skills

  • Azure certifications
  • DevOps practices
  • Power BI
  • Delta Lake
  • Azure Data Factory
  • Claude's professional certification

Job Details

Company name:
EPAM
Location:
United States
Employment Type:
Full-time
Work Mode:
Remote
Posted on TheJob:
Jul 5, 2026
Last checked:
Jul 5, 2026
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