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Senior Azure Ai Engineer Jobs (NOW HIRING)

S Linx LLC

Senior Azure Technical Architect

Newark, NJ · On-site

Senior Azure Technical Architect Location: Newark, NJ (Hybrid) · We're looking for a Senior Azure ... Azure AI Foundry · Experience implementing AI‑enabled engineering workflows · Exposure to ...

New

Lnw

Senior Azure AI Platform Engineer

Austin, TX

$124K - $171K/yr

Position Summary About the Team We are building a tight-knit, senior engineering group based in ... Azure / SAIL Sovereign AI Landing Zone) * Experience with Azure OpenAI capacity planning, PTU ...

Lantern

Azure AI Apps Architect

Dallas, TX

$62.75 - $81.75/hr

Experience programming in languages such as Python, PySpark, or C# * Strong foundational ... Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or ...

AMSYS Talent

Azure OpenAI / AI Cloud Engineer

Houston, TX · On-site

$50.25 - $67.25/hr

We're seeking an Azure OpenAI / AI Cloud Engineer with deep experience in deploying, configuring, and managing Azure-based AI and ML services . The ideal candidate will have a strong background in ...

AMSYS Talent

Sr Gen AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Generative AI Engineer (Azure / RAG / LLM) We're looking for a hands-on Senior AI Engineer to build and deploy production-grade generative AI solutions. This role focuses on taking use cases ...

Vytwo

Azure Automation Engineer

Prosper, TX · On-site

$55 - $60/hr

Azure Automation Engineer Location: Montvale, NJ (On-Site) /Hybrid Essential Skills: Automation ... AI-102 certification preferred along with Azure Solutions Architect certification. • Emerging ...

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus • Experience with GitHub or Azure DevOps • ...

Leggett & Platt

Senior Azure Cloud Engineer

Lenexa, KS · On-site

$50.75 - $68/hr

Leggett & Platt is seeking a Senior Azure Cloud Engineer to join our engineering team at the IDEA ... Preferred : • Experience with Azure AI services or integrating AI/ML workloads into cloud ...

Staffingine LLC

Sr .Net Developer with Azure AI

Hartford, CT · On-site

$55.50 - $68.75/hr

Job Title: Sr .Net Developer with Azure AI Job Location: Hartford, CT Job Type: Contract Responsibilities · Design and implement fullstack solutions using .NET Azure and modern cloud native patterns ...

Staffingine LLC

Sr .Net Developer with Azure AI

Hartford, CT · On-site

$55.50 - $68.75/hr

Job Title: Sr .Net Developer with Azure AI Job Location: Hartford, CT Job Type: Contract * Design and implement fullstack solutions using .NET Azure and modern cloud native patterns * Integrate Azure ...

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Senior Azure Ai Engineer information

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$59.5K

$126.6K

$183.5K

How much do senior azure ai engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for senior azure ai engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a Senior Azure AI Engineer?

A Senior Azure AI Engineer is an experienced professional who designs, develops, and deploys artificial intelligence solutions using Microsoft Azure's cloud-based services. They work with tools like Azure Machine Learning, Cognitive Services, and AI infrastructure to build applications that leverage machine learning, natural language processing, computer vision, and more. Their role often involves collaborating with data scientists, software engineers, and business stakeholders to deliver scalable, secure, and effective AI-powered solutions. In addition to technical implementation, Senior Azure AI Engineers typically mentor junior team members and contribute to best practices within their organization.

What are the key skills and qualifications needed to thrive as a Senior Azure AI Engineer, and why are they important?

To thrive as a Senior Azure AI Engineer, you need advanced expertise in machine learning, deep learning, and cloud computing, typically supported by a degree in computer science or a related field. Proficiency with Microsoft Azure AI services, Python or R programming, and certifications such as Microsoft Certified: Azure AI Engineer Associate are highly valued. Strong problem-solving, communication, and project management skills help drive innovation and lead cross-functional teams. These capabilities are essential for designing scalable AI solutions that meet business objectives and leverage the full potential of Azure’s platform.

How does a Senior Azure AI Engineer typically collaborate with data scientists and other engineering teams?

As a Senior Azure AI Engineer, you will frequently work alongside data scientists to design, develop, and deploy machine learning models using Azure's AI services. Collaboration involves translating business requirements into robust AI solutions, optimizing model performance, and integrating these models into production systems. You will also partner with DevOps and cloud infrastructure teams to ensure scalable, secure, and maintainable deployments. Effective communication and a proactive approach to knowledge sharing are key, as you’ll often guide junior engineers and contribute to cross-functional project planning.
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Senior Azure Ai Engineer jobs near you
Infographic showing various Senior Azure Ai Engineer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Sr AI Engineer

Futran Tech Solutions Pvt. Ltd.

Fort Worth, TX • On-site, Remote

$80/hr

Full-time

Re-posted 15 days ago

Job description

Client : Alcon
Fort Worth, TX, Hybrid is preferred, but remote
Rate: $80/hr
Job Title: Sr AI Engineer
Experience Level: 6-10 years
Job Summary
We are seeking a skilled AI Engineer to build, integrate, and operationalize AI/ML models and agent workflows on AWS and Azure as the core AI foundation, with Microsoft Copilot as the primary user experience layer. The role involves collaborating with AI Architects and data teams to deploy scalable, production-grade AI solutions that are grounded in enterprise data, governed responsibly, and optimized for real-world performance. The candidate should be able to own the full AI engineering lifecycle, from prototyping and integration through to production deployment and ongoing optimization.
Key Responsibilities
LLM & Agent Development
  • Build, integrate, and iterate on LLM-powered agent experiences for enterprise knowledge access and workflow automation.
  • Own prompt engineering, orchestration logic, and multi-agent workflow design using AWS Bedrock and Azure AI services.
  • Implement grounding, citation enforcement, and refusal behavior patterns aligned with enterprise governance standards.
  • Build structured triage and escalation logic within agent workflows to support robust, production-grade AI systems.
  • Own the AI engineering layer end to end, from prototype through pilot validation and production deployment.

RAG & Retrieval Engineering
  • Implement RAG pipelines using structured and unstructured enterprise data on AWS and Azure cloud-native services.
  • Tune retrieval quality through vector search, re-ranking strategies, and context window optimization.
  • Work with embedding models, chunking strategies, and hybrid retrieval approaches to improve answer relevance.
  • Integrate vector databases such as Azure AI Search and Amazon OpenSearch to support enterprise RAG systems.

Evaluation & Quality Assurance
  • Define and run evaluation frameworks to measure answer accuracy, hallucination rates, and response quality.
  • Ensure relevance, freshness, observability, and security of AI outputs across production environments.
  • Implement monitoring and drift detection for deployed AI models and LLM-based workflows.

Cloud & Platform Integration
  • Build and deploy AI solutions on AWS (Bedrock, SageMaker, Lambda) and Azure (Azure AI Foundry, Azure ML, Azure Functions) as the primary cloud platforms.
  • Integrate Microsoft Copilot as the enterprise user experience layer, connecting AI capabilities to end-user workflows.
  • Integrate AI components with enterprise applications, APIs, and data sources to enable scalable, end-to-end AI workflows.
  • Ensure compliance with security, privacy, and responsible AI guidelines across all AI deployments.

Collaboration & Delivery
  • Collaborate with AI Architects and data teams to translate architectural designs into production-ready AI implementations.
  • Work within cross-functional delivery teams to align AI solutions with business and product requirements.
  • Support POCs and pilot programmes, demonstrating the value and feasibility of AI solutions before full-scale deployment.

Required Qualifications
  • 6-10 years of overall experience with 3+ years building LLM-powered applications in production or near-production environments.
  • Hands-on experience with AWS AI/ML services (Bedrock, SageMaker) and Azure AI services (Azure AI Foundry, Azure OpenAI Service, Azure ML).
  • Experience integrating with Microsoft Copilot or building Copilot extensibility solutions (plugins, connectors, or agents).
  • Hands-on experience with RAG architectures: vector search, embedding models, chunking strategies, and hybrid retrieval.
  • Strong understanding of grounding techniques, hallucination mitigation, and AI evaluation methodologies.
  • Experience with agent orchestration frameworks and patterns: multi-agent routing, workflow chaining, and context management.
  • Strong Python skills; familiarity with LangChain, Semantic Kernel, or equivalent agent orchestration frameworks preferred.
  • Ability to work autonomously and own the full AI engineering stack within a cross-functional delivery team.

Apply