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Azure Ai Consultant Jobs (NOW HIRING)

AI Consultant

San Jose, CA ยท On-site

$62 - $68/hr

About the Role We are seeking an experienced AI Consultant / AI Solutions Engineer to design, build ... Strong understanding of cloud platforms such as AWS, Azure, or Adobe I/O Runtime . * Experience ...

Azure AI Applications Engineer We are seeking an Azure AI Applications Engineer to join our growing ... Provide strategic consulting and technical leadership to clients, guiding them through AI adoption ...

... an Azure AI Applications Engineer to lead the development of intelligent applications using ... strategic consulting and technical leadership to clients, guiding them through AI adoption, app ...

Azure AI Applications Engineer We are seeking an Azure AI Applications Engineer to join our growing ... Provide strategic consulting and technical leadership to clients, guiding them through AI adoption ...

AI Consultant

San Jose, CA ยท On-site

$62 - $68/hr

Benefits: * 401(k) matching About the Role We are seeking an experienced AI Consultant / AI ... Strong understanding of cloud platforms such as AWS, Azure, or Adobe I/O Runtime . * Experience ...

AI Consultant

San Jose, CA ยท On-site

$62 - $68/hr

About the Role We are seeking an experienced AI Consultant / AI Solutions Engineer to design, build ... Strong understanding of cloud platforms such as AWS, Azure, or Adobe I/O Runtime . * Experience ...

Title: AI consultant/Architect Location: Columbia, SC Position type: W2 contract * Provide ... Integrate AI capabilities with Microsoft Azure and AWS cloud environments. * Assist business units ...

AI Consultant - Products

Plano, TX ยท On-site

$111K - $257K/yr

The AI Consultant is a client-facing advisor within the AI GTM organization responsible for ... Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, or Snowflake. - Strong ...

AI Consultant - Products

Plano, TX ยท On-site +1

$111K - $257K/yr

The AI Consultant is a client-facing advisor within the AI GTM organization responsible for ... Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, or Snowflake. - Strong ...

AI Consultant - Products

Plano, TX ยท On-site +1

$111K - $257K/yr

The AI Consultant is a client-facing advisor within the AI GTM organization responsible for ... Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, or Snowflake. - Strong ...

Showing results 21-40

Azure Ai Consultant information

See salary details

$10

$49

$118

How much do azure ai consultant jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for azure ai consultant in the United States is $49.72, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $62.50 per hour, depending on experience, location, and employer.

What is the difference between Azure Ai Consultant vs Data Scientist?

AspectAzure Ai ConsultantData Scientist
Required CredentialsAzure certifications, AI and cloud computing knowledgeStatistics, programming, data analysis degrees
Work EnvironmentCloud platforms, client projects, consulting firmsResearch labs, tech companies, data-driven organizations
Employer & Industry UsageIT consulting, cloud service providers, enterprise solutionsTech companies, finance, healthcare, research institutions
Search & Comparison IntentFocus on cloud AI solutions, implementation, consultingData analysis, modeling, research, and insights

Azure Ai Consultants primarily focus on implementing AI solutions within the Azure cloud platform, working closely with clients to deploy and optimize AI services. Data Scientists, on the other hand, analyze data, develop models, and generate insights often using various tools and programming languages. While both roles require technical expertise, Azure Ai Consultants emphasize cloud-based AI deployment, whereas Data Scientists focus on data analysis and modeling.

Is Azure AI in demand?

Azure AI is in high demand as organizations increasingly adopt cloud-based artificial intelligence solutions. Azure AI consultants with skills in machine learning, data analysis, and familiarity with Azure services are sought after in the tech industry, reflecting the growing reliance on cloud AI platforms for business innovation.

Is there a demand for Azure Ai consultants?

There is strong demand for Azure AI consultants as organizations increasingly adopt Microsoft Azure cloud services and AI solutions. These professionals are needed to design, implement, and optimize AI and machine learning projects using Azure tools like Azure Machine Learning and Cognitive Services, often requiring relevant certifications and technical expertise. The role is expected to grow with the expanding adoption of cloud-based AI technologies across industries.

What are popular job titles related to Azure Ai Consultant jobs?

For Azure Ai Consultant jobs, the most frequently searched job titles are:

Infographic showing various Azure Ai Consultant job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $103,425 per year, or $49.7 per hour.

AI Consultant

San Jose, CA โ€ข On-site

$62 - $68/hr

Full-time

Re-posted 2 days ago


Key responsibilities

  • Design, develop, and deliver production-grade AI solutions using LLMs, AI agents, RAG pipelines, and orchestration frameworks.

  • Translate business requirements into technical designs and scalable AI solutions, and prototype solutions for production deployment.

  • Integrate AI solutions with enterprise platforms and collaborate with stakeholders to define requirements and demonstrate progress.


Job description

About the Role
We are seeking an experienced AI Consultant / AI Solutions Engineer to design, build, and deliver production-grade AI solutions that solve real business problems for internal teams and enterprise customers.
This role will own AI solutions end-to-end—from understanding business requirements and rapid prototyping to production deployment, optimization, observability, and continuous improvement. The ideal candidate combines strong software engineering skills with hands-on experience building and deploying LLM, RAG, and agent-based AI solutions.
Key Responsibilities
  • Design and develop production-grade AI solutions using LLMs, AI agents, RAG pipelines, and orchestration frameworks.
  • Translate ambiguous business requirements into clear technical designs and scalable solutions.
  • Rapidly prototype AI solutions and harden them for production scalability, reliability, observability, and cost efficiency.
  • Develop evaluation frameworks and define success metrics to measure AI model and system performance.
  • Integrate AI solutions with enterprise platforms and systems, including Adobe Experience Platform, Workfront, Adobe Journey Optimizer, and enterprise data platforms.
  • Partner with Product Managers, Designers, Engineers, and business stakeholders to define requirements and demonstrate solution progress.
  • Develop reusable AI components, tools, and frameworks to accelerate future AI initiatives.
  • Stay current with emerging AI technologies and evaluate their practical application to business use cases.
Required Qualifications
  • 5+ years of professional software engineering experience.
  • 2+ years of hands-on experience building and deploying AI/ML-powered solutions in production.
  • Strong hands-on programming experience with Python and TypeScript/JavaScript.
  • Experience building AI-powered user experiences using React.
  • Hands-on experience with LLM APIs such as OpenAI, Anthropic, or equivalent platforms.
  • Strong understanding of prompt engineering, tool calling, structured outputs, and AI agent patterns.
  • Experience designing and implementing RAG architectures.
  • Experience with vector databases and retrieval-quality evaluation.
  • Strong understanding of cloud platforms such as AWS, Azure, or Adobe I/O Runtime.
  • Experience with modern DevOps, CI/CD, logging, monitoring, and production deployment practices.
  • Strong communication skills with both technical and non-technical stakeholders.
Preferred Qualifications
  • Experience with Adobe Experience Platform (AEP), Workfront, GenStudio, or Adobe Journey Optimizer (AJO).
  • Experience with Databricks, Snowflake, or similar data platforms.
  • Background in enterprise SaaS, marketing technology, or customer engineering.
  • Experience with agent frameworks such as LangGraph, CrewAI, or similar frameworks.
  • Experience designing enterprise AI architecture, governance, security, and responsible AI practices.
Core Technical Skills
AI/ML: LLMs, Generative AI, RAG, AI Agents, Prompt Engineering, Agentic Workflows
Programming: Python, TypeScript, JavaScript, React
LLM Platforms: OpenAI, Anthropic, or equivalent
AI Frameworks: LangGraph, CrewAI, or similar
Cloud: AWS, Azure, Adobe I/O Runtime
Data: Vector Databases, Databricks, Snowflake
DevOps: CI/CD, Monitoring, Logging, Observability
Adobe: AEP, Workfront, AJO, GenStudio
Location Requirement
ONLY LOCAL CANDIDATES IN SAN JOSE, CA, USA WILL BE CONSIDERED.

Candidates must currently be located in the San Jose, CA area and be available to work from the local area as required.