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Forward Deployed Data & AI Engineer – Generative AI & Azure

Pay
$155,000–195,000/yearAnnual period assumed. Location-specific pay — pay source
Pay Range: $155,000 - $195,000 The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient.
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Work setting
Not stated
Employment
Not stated

What you’ll work on

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

From the employer’s posting
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.
Apply at Publicis Groupe

Posting record

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20263 days ago
Recorded sightings
4
Last seen by us
Nov 8, 2026
Employer says posted
Oct 21, 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

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.

Time since we first saw it

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.

Publicis Groupe is hiring

220 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See 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.

  • Azure
  • Databricks
Where the posting names them
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.

Your next step

Complete your application on sapient-publicisgroupe.icims.com. The employer’s form will show what is required.

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 619, the most 1,091, and the latest week had 863.
August 17Last week

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.

About the role

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.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

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.

Job description

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Company description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value. 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. In this role, you will combine strong software and data engineering capabilities with cloud architecture and Generative AI expertise to solve complex business problems. You will work across Azure OpenAI, LLMs, RAG architectures, AI agents, data platforms, APIs, and enterprise systems to deliver scalable and production-ready solutions. You will collaborate closely with client stakeholders, product teams, architects, and engineering teams to translate business requirements into practical technical 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. Design solutions leveraging vector databases, embeddings, semantic search, and enterprise knowledge-management platforms. Build data and knowledge architectures that provide reliable enterprise context and grounding for Generative AI applications. 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. Work closely with stakeholders to understand complex business problems and translate them into effective technical solutions. Contribute to solution architecture decisions across AI, data, integration, and cloud engineering. Work with Azure AI Foundry to accelerate enterprise AI solution development. Qualifications Generative AI & AI Engineering Hands-on experience designing and developing solutions using LLMs and Generative AI. Strong experience with Azure OpenAI or comparable enterprise LLM platforms. Experience implementing RAG architectures, AI agents, embeddings, vector search, semantic search, and knowledge-grounded AI solutions. Understanding of enterprise AI architecture and patterns for integrating AI solutions with business applications and data. Data Engineering Strong experience with Azure Data Factory and Databricks. Experience designing and building scalable data pipelines and integration workflows. Understanding of data modeling, governance, data quality, and enterprise data architecture. Experience with Databricks Unity Catalog is preferred. Azure & Cloud Engineering Strong hands-on experience with Microsoft Azure. Understanding of Azure architecture across security, networking, monitoring, and deployment automation. Experience designing scalable cloud-based enterprise applications and services. Additional information Benefits of Working Here Wellness program and employee assistance. Generous paid leave and holidays. Comprehensive health benefits for you and your family. Flexibility to support work-life balance. Competitive compensation and benefits package. Access to ongoing learning and development opportunities. An inclusive workplace that promotes diversity and collaboration. Pay Range: $155,000 - $195,000 The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work itself. As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicissapient.com or you may call us at +1-617-621-0200.
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Pay
Pay Range: $155,000 - $195,000 The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient.
Location & working pattern

Houston, Texas, US

Working pattern and location restrictions need checking in the full posting.

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