--- title: Senior Data Engineer, AI at EPAM Systems description: We are looking for a Senior Data Engineer with AI to architect and build intelligent AI workflows that merge models, enterprise data, and business logic into dependable, production-ready solutions. Wi --- # Senior Data Engineer, AI **Company:** EPAM Systems **Location:** Georgia **Posted:** 2026-08-29 **Apply by:** 2026-10-13 **Tags:** data engineer [Apply / View original posting](https://www.linkedin.com/jobs/view/4459476405) ## Job description We are looking for a Senior Data Engineer with AI to architect and build intelligent AI workflows that merge models, enterprise data, and business logic into dependable, production-ready solutions. Within this position, you will construct scalable AI deployment pipelines, embed AI functionality into enterprise systems, and partner with data scientists and business experts to deliver secure, transparent, and compliant AI behavior. 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 Architect and build AI workflows that merge models, prompts, enterprise data, tools, and business logic Create and sustain prompt engineering approaches, covering versioning, testing, and optimization Deploy orchestration layers supporting multi-step reasoning, decisioning, and action execution Embed AI functionality within enterprise systems, APIs, and user interfaces Apply guardrails that guarantee secure, transparent, and compliant AI behavior Construct and sustain production-grade AI deployment pipelines Guarantee dependability, scalability, latency optimization, and cost efficiency of AI services Deploy monitoring and observability for AI systems covering usage, performance, drift, and failures Set up change control, versioning, rollback, and release management practices Work closely alongside data scientists and business experts to verify model behavior and outputs Convert experimentation outcomes into dependable production-ready solutions Convey operational constraints and engineering considerations to stakeholders Requirements More than 3 years of experience working in software development Solid engineering foundation paired with applied AI expertise Proficiency in architecting and building AI workflows that merge models, prompts, and enterprise data Mastery of prompt engineering approaches, covering versioning, testing, and optimization Abilities in constructing production-grade AI deployment pipelines, MLOps, and productionization Proficiency in monitoring and observability for AI systems, covering drift, performance, and failures Understanding of change control, versioning, and release management practices Ability to rapidly get up to speed on new platforms and tools Experience with large-scale enterprise data ecosystems English skills at B2 level or above 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. --- 🔔 [Monitor similar jobs on Gurify](https://gurify.com/?utm_source=techgeo&utm_medium=jobboard&utm_campaign=monitor_similar&role=Senior+Data+Engineer%2C+AI) — get alerted when matching roles are posted in Georgia. ```json {"@context":"https://schema.org/","@type":"JobPosting","title":"Senior Data Engineer, AI","description":"

We are looking for a Senior Data Engineer with AI to architect and build intelligent AI workflows that merge models, enterprise data, and business logic into dependable, production-ready solutions. Within this position, you will construct scalable AI deployment pipelines, embed AI functionality into enterprise systems, and partner with data scientists and business experts to deliver secure, transparent, and compliant AI behavior. 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 Architect and build AI workflows that merge models, prompts, enterprise data, tools, and business logic Create and sustain prompt engineering approaches, covering versioning, testing, and optimization Deploy orchestration layers supporting multi-step reasoning, decisioning, and action execution Embed AI functionality within enterprise systems, APIs, and user interfaces Apply guardrails that guarantee secure, transparent, and compliant AI behavior Construct and sustain production-grade AI deployment pipelines Guarantee dependability, scalability, latency optimization, and cost efficiency of AI services Deploy monitoring and observability for AI systems covering usage, performance, drift, and failures Set up change control, versioning, rollback, and release management practices Work closely alongside data scientists and business experts to verify model behavior and outputs Convert experimentation outcomes into dependable production-ready solutions Convey operational constraints and engineering considerations to stakeholders Requirements More than 3 years of experience working in software development Solid engineering foundation paired with applied AI expertise Proficiency in architecting and building AI workflows that merge models, prompts, and enterprise data Mastery of prompt engineering approaches, covering versioning, testing, and optimization Abilities in constructing production-grade AI deployment pipelines, MLOps, and productionization Proficiency in monitoring and observability for AI systems, covering drift, performance, and failures Understanding of change control, versioning, and release management practices Ability to rapidly get up to speed on new platforms and tools Experience with large-scale enterprise data ecosystems English skills at B2 level or above 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.

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