Time since we first saw it
Day 12
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From 51 similar postings that came down. Coming down is not always a hire.
Data AI Solution Architect
- 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 postingLead end-to-end architecture and delivery of data and AI solutions on Azure, MS Fabric, Databricks and GenAI platforms
Design scalable, secure data management and analytics platforms, including data lakes and distributed systems
Integrate Copilot, Claude and GenAI into business workflows for automation and analytics
Provide technical leadership, governance and mentorship across multiple project streams and teams
Advise clients on platform decentralization, operations models and enterprise data product protocols
From the employer’s posting
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
Provide technical leadership, governance, mentorship and architectural guidance across multiple project streams and teams
Advise clients on platform decentralization, operations models and enterprise data product protocols
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 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
- Azure
- Databricks
- Delta Lake
- Power BI
Where the posting names them
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 10+ years of experience in software architecture, specializing in Azure, MS Fabric, Databricks, data lakes and GenAI technologies, with deep proficiency in Copilot and Claude. Expertise in Python development is essential, alongside 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 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, with Azure and Databricks as a must Expertise in Azure, MS Fabric and Databricks alongside data lakes and distributed scalable applications Proficiency in Python and SQL Knowledge of GenAI, Copilot and Claude as well as AI agent frameworks Background in data governance, analytics, CRM and ERP systems Experience in the manufacturing domain 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 Nice to have Azure certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect) Familiarity with DevOps practices for Data, AI/ML projects Skills in Power BI, Delta Lake and Azure Data Factory Claude professional certification
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 2 other Data AI Solution Architect jobs there since November 2026. All 2 are 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 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 10+ years of experience in software architecture, specializing in Azure, MS Fabric, Databricks, data lakes and GenAI technologies, with deep proficiency in Copilot and Claude. Expertise in Python development is essential, alongside 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 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, with Azure and Databricks as a must Expertise in Azure, MS Fabric and Databricks alongside data lakes and distributed scalable applications Proficiency in Python and SQL Knowledge of GenAI, Copilot and Claude as well as AI agent frameworks Background in data governance, analytics, CRM and ERP systems Experience in the manufacturing domain 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 Nice to have Azure certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect) Familiarity with DevOps practices for Data, AI/ML projects Skills in Power BI, Delta Lake and Azure Data Factory Claude professional certification
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.