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.
Senior 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, data and business logic
Build and maintain production-grade AI deployment pipelines
Apply guardrails for safe, explainable and compliant AI behavior
Implement monitoring and observability for usage, performance and drift
Develop and maintain prompt engineering strategies with versioning and testing
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
Apply guardrails to ensure safe, explainable and compliant AI behavior
Implement monitoring and observability for AI systems, including usage, performance and drift
Develop and maintain prompt engineering strategies, including versioning, testing and optimization
What you’ll bring
All qualificationsCore experience
- 3+ years in data engineering or AI engineering roles
- Advanced Python programming skills
- Strong knowledge of MLOps practices and tools
- Hands-on Gen AI solutions development and prompt engineering
- Solid SQL and data manipulation skills
Qualification wording
3+ years of experience in data engineering or AI engineering roles
Advanced programming skills in Python
Strong knowledge of MLOps practices and tools
Hands-on experience with Gen AI solutions development and prompt engineering
Solid understanding of SQL and data manipulation techniques
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
- 12
- 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 and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Spark
- PySpark
Where the posting names them
We are looking for a Senior Data Engineer with AI expertise to join our driven team. You will work on an exciting project with our client from the insurance sector, focusing on bridging the gap between data science experimentation and enterprise-grade production systems. The role involves transforming AI models and experiments into scalable, reliable and well-governed solutions that integrate seamlessly into business workflows. You will collaborate closely with data scientists, actuaries and business stakeholders to ensure AI solutions are robust, observable and aligned with governance, reliability and cost-efficiency requirements. 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 Implement orchestration layers for multi-step reasoning, decisioning and action execution Integrate AI capabilities into enterprise systems, APIs and user interfaces Apply 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 Implement monitoring and observability for AI systems, including usage, performance and drift Establish change control, versioning, rollback and release management practices Collaborate with data scientists and business experts to validate model behavior and outputs Requirements 3+ years of experience in data engineering or AI engineering roles Strong knowledge of MLOps practices and tools Proficiency in Machine Learning concepts and model lifecycle management Advanced programming skills in Python Hands-on experience with Gen AI solutions development and prompt engineering Solid understanding of SQL and data manipulation techniques Experience integrating AI capabilities into enterprise systems and APIs Familiarity with monitoring, observability and governance for AI systems Ability to work in large enterprise data ecosystems Strong problem-solving and communication skills Proficient communication skills in English (B2 level or higher) Nice to have Knowledge of AI governance and data quality Experience with Apache Spark, PySpark and big data tools Familiarity with Natural Language Processing and LLMs Understanding of retrieval-augmented generation techniques Exposure to (Re)Insurance IT or Palantir platform
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 7 other Senior Data Engineer, AI jobs there since November 2026. All 7 are still up.
Large employers often post one title for several teams, so these can be separate openings.
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 looking for a Senior Data Engineer with AI expertise to join our driven team. You will work on an exciting project with our client from the insurance sector, focusing on bridging the gap between data science experimentation and enterprise-grade production systems. The role involves transforming AI models and experiments into scalable, reliable and well-governed solutions that integrate seamlessly into business workflows. You will collaborate closely with data scientists, actuaries and business stakeholders to ensure AI solutions are robust, observable and aligned with governance, reliability and cost-efficiency requirements. 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 Implement orchestration layers for multi-step reasoning, decisioning and action execution Integrate AI capabilities into enterprise systems, APIs and user interfaces Apply 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 Implement monitoring and observability for AI systems, including usage, performance and drift Establish change control, versioning, rollback and release management practices Collaborate with data scientists and business experts to validate model behavior and outputs Requirements 3+ years of experience in data engineering or AI engineering roles Strong knowledge of MLOps practices and tools Proficiency in Machine Learning concepts and model lifecycle management Advanced programming skills in Python Hands-on experience with Gen AI solutions development and prompt engineering Solid understanding of SQL and data manipulation techniques Experience integrating AI capabilities into enterprise systems and APIs Familiarity with monitoring, observability and governance for AI systems Ability to work in large enterprise data ecosystems Strong problem-solving and communication skills Proficient communication skills in English (B2 level or higher) Nice to have Knowledge of AI governance and data quality Experience with Apache Spark, PySpark and big data tools Familiarity with Natural Language Processing and LLMs Understanding of retrieval-augmented generation techniques Exposure to (Re)Insurance IT or Palantir platform
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
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Working pattern and location restrictions need checking in the full posting.
- Work authorization
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