Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,319 postings in the last year. Stated ranges, not salaries paid.
Houston, Texas, US
Actively hiring, first seen by us 3 days agoPay Range: $155,000 - $195,000 The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient.Read the full posting
Design and build Generative AI solutions using Azure OpenAI, LLMs, RAG and AI agents
Build scalable data pipelines with Azure Data Factory and Databricks Unity Catalog
Architect cloud-native solutions on Microsoft Azure with security and monitoring
Develop APIs and services connecting AI applications to enterprise systems
Take AI solutions from prototype to scalable enterprise implementation
Design and develop Generative AI solutions using Azure OpenAI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and enterprise AI platforms.
Build scalable data solutions using Azure Data Factory, Databricks Unity Catalog, data pipelines, data models, and integration patterns.
Architect and engineer cloud-native solutions on Microsoft Azure, incorporating security, networking, monitoring, reliability, and deployment automation.
Develop and integrate APIs and services that connect AI applications with enterprise data and operational systems.
Apply strong engineering practices to take AI solutions from experimentation and prototypes to scalable enterprise implementations.
Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,319 postings in the last year. Stated ranges, not salaries paid.
Day 3
Early. Similar jobs usually come down between day 7 and day 72.
From 4,629 similar postings that came down. Coming down is not always a hire.
220 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd 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.
Overview Publicis Sapient is looking for an experienced Forward Deployed Engineer – Generative AI & Azure to design and build enterprise-grade Generative AI and data solutions on Microsoft Azure.
You will work across Azure OpenAI, LLMs, RAG architectures, AI agents, data platforms, APIs, and enterprise systems to deliver scalable and production-ready solutions.
Your Impact Design and develop Generative AI solutions using Azure OpenAI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and enterprise AI platforms.
Build scalable data solutions using Azure Data Factory, Databricks Unity Catalog, data pipelines, data models, and integration patterns.
Architect and engineer cloud-native solutions on Microsoft Azure, incorporating security, networking, monitoring, reliability, and deployment automation.
Work with Azure AI Foundry to accelerate enterprise AI solution development.
Strong experience with Azure OpenAI or comparable enterprise LLM platforms.
Data Engineering Strong experience with Azure Data Factory and Databricks.
Azure & Cloud Engineering Strong hands-on experience with Microsoft Azure.
Understanding of Azure architecture across security, networking, monitoring, and deployment automation.
Experience with Databricks Unity Catalog is preferred.
Complete your application on sapient-publicisgroupe.icims.com. The employer’s form will show what is required.
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Pay Range: $155,000 - $195,000 The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient.
Houston, Texas, US
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.