Data and AI Solution Architect

EPAM Systems Inc

  • Atlanta, GA
  • 30+ days ago
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    Skills

    • Architectural Servicesunmatched
    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Cloud Applicationsunmatched
    • Cloud Computingunmatched
    • Communication Skillsunmatched
    • Cross-Functionalunmatched
    • Data Analysisunmatched
    • Data Lakeunmatched
    • Data Managementunmatched
    • Data Migrationunmatched
    • Data Modelingunmatched
    • Data Qualityunmatched
    • Data Scienceunmatched
    • Decentralized Operations/Managementunmatched
    • DevOpsunmatched
    • Distributed Applicationsunmatched
    • Distributed Computingunmatched
    • English Languageunmatched
    • Information/Data Security (InfoSec)unmatched
    • Leadershipunmatched
    • Manufacturingunmatched
    • Mentoringunmatched
    • Microsoft Windows Azureunmatched
    • Pre-Salesunmatched
    • Privacy Controlsunmatched
    • Process Improvementunmatched
    • Request for Proposals (RFP)unmatched
    • Requirements Managementunmatched
    • Software Development Lifecycle (SDLC)unmatched
    • Statement of Work (SOW)unmatched
    • Technical Analysisunmatched
    • Technical Leadershipunmatched

    Description

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    Data and AI Solution Architect

    Remote in Georgia, & 4 others

    Solution Architecture

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    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 clients 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

    • Claudes professional certification

    Numbers & Facts

    LocationAtlanta, GA

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