Time since we first saw it
Day 12
Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
Lead Data Engineer, AI
Reads like an AI Engineer role: building products on existing AI models.
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingDesign and implement AI workflows combining models, prompts, enterprise data and business logic
Build and maintain production-grade AI deployment pipelines
Integrate AI capabilities into enterprise systems, APIs and user interfaces
Apply guardrails for safe, explainable and compliant AI behavior
Implement monitoring and observability for usage, performance, drift and failures
From the employer’s posting
Design and implement AI workflows combining models, prompts, enterprise data, tools and business logic
Build and maintain production-grade AI deployment pipelines
Integrate AI capabilities into enterprise systems, APIs and user interfaces
Application of guardrails to ensure safe, explainable and compliant AI behavior
Implementation of monitoring and observability for AI systems including usage, performance, drift and failures
What you’ll bring
All qualificationsCore experience
- 5+ years of software development experience
- Expertise designing AI workflows combining models, prompts and enterprise data
- Prompt engineering, including versioning, testing and optimization
- Production AI deployment pipelines, MLOps and productionization
- English at B2 level or higher
Qualification wording
5+ years of experience in software development
Expertise in designing and implementing AI workflows combining models, prompts and enterprise data
Proficiency in prompt engineering strategies, including versioning, testing and optimization
Skills in building production-grade AI deployment pipelines, MLOps and productionization
English proficiency at B2 level or higher
Posting record
Report an errorActively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 1, 202612 days ago
- Recorded sightings
- 13
- Last seen by us
- Nov 14, 2026
- Employer says posted
- Sep 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
EPAM Systems is hiring
673 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.
Your next step
Complete your application on careers.epam.com. The employer’s form will show what is required.
Already applied? Track this application
Has EPAM Systems posted this job before?
Yes. We’ve followed one other Lead Data Engineer, AI job there since November 2026. It is still up.
About EPAM Systems
- People
- About 3,012 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as EPAM.
- H-1B visas
- 21 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
We are seeking a Lead Data Engineer with AI to design and implement intelligent AI workflows that combine models, enterprise data and business logic into reliable production solutions. In this role, you will build scalable AI deployment pipelines, integrate AI capabilities into enterprise systems and collaborate with data scientists and business experts to deliver safe, explainable and compliant AI behavior. Responsibilities Design and implement AI workflows combining models, prompts, enterprise data, tools and business logic Develop and maintain prompt engineering strategies, including versioning, testing and optimization Implementation of orchestration layers for multi-step reasoning, decisioning and action execution Integrate AI capabilities into enterprise systems, APIs and user interfaces Application of guardrails to ensure safe, explainable and compliant AI behavior Build and maintain production-grade AI deployment pipelines Ensure reliability, scalability, latency optimization and cost efficiency of AI services Implementation of monitoring and observability for AI systems including usage, performance, drift and failures Establish change control, versioning, rollback and release management practices Collaborate closely with data scientists and business experts to validate model behavior and outputs Translate experimentation results into reliable production solutions Communicate operational constraints and engineering considerations to stakeholders Requirements 5+ years of experience in software development Strong engineering background with applied AI skills Expertise in designing and implementing AI workflows combining models, prompts and enterprise data Proficiency in prompt engineering strategies, including versioning, testing and optimization Skills in building production-grade AI deployment pipelines, MLOps and productionization Competency in monitoring and observability for AI systems, including drift, performance and failures Knowledge of change control, versioning and release management practices Capability to quickly ramp up on new platforms and tools Familiarity with large enterprise data ecosystems English proficiency at B2 level or higher
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Location not supplied.
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.