Forward Deployed Engineer - Generative AI & Azure

Sapient Corporation; Houston (TX); On-site; USD 155,000 - 195,000; Full time

Benefits offered by this job

Wellness program

Paid leave and holidays

Health benefits for you and family

Work-life balance

Job summary

Publicis Sapient is seeking an experienced Forward Deployed Engineer focused on Generative AI and Azure to design and deliver enterprise-grade AI solutions on Microsoft Azure.

The role blends software and data engineering with cloud architecture and AI expertise, collaborating with stakeholders across architecture, product, and engineering teams to translate business needs into scalable technical solutions.

Qualifications

• Hands-on with LLMs and Generative AI.
• Experience with Azure OpenAI or enterprise LLM platforms.
• Knowledge of RAG, AI agents, embeddings, and vector/semantic search.
• Understanding of enterprise AI architecture and data integration.

Responsibilities

• Design and develop Generative AI solutions on Azure OpenAI and LLMs.
• Build scalable data pipelines and data models with Azure components.
• Architect cloud-native Azure solutions with security and deployment automation.
• Leverage vector and semantic search for enterprise knowledge grounding.
• Develop APIs to connect AI apps with enterprise data and systems.
• Translate business requirements into practical technical solutions.
• Contribute to solution architecture decisions across AI, data, and cloud domains.
• Collaborate with stakeholders and engineering teams throughout delivery.

Skills

LLMs & Generative AI

Azure OpenAI

RAG architectures

AI agents

Embeddings

Vector search

Semantic search

Knowledge-grounded AI

Cloud architecture

Enterprise AI

Tools

Azure Data Factory

Databricks

Databricks Unity Catalog

Job description

Job Description

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 [e-mail] or you may call us at [phone].