Data and AI Solution Architect

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.
Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi.
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
We offer
We connect like-minded people
Delivering innovative solutions to industry leaders, making a global impact
Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
Opportunity to work abroad for up to two months per year
Relocation opportunities within our offices in 55+ countries
Corporate and social events
We invest in your growth
Leadership development, career advising, soft skills and well-being programs
Certifications, including GCP, Azure and AWS
Unlimited access to EPAM's internal learning database
Free English classes with certified teachers
We cover it all
Participation in the Employee Stock Purchase Plan
Monetary bonuses for engaging in the referral program
Comprehensive medical & family care package
Five trust days per year (sick leave without a medical certificate)
Benefits package (sports activities, a variety of stores and services)
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

Work arrangement
No