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Generative Ai Architect Jobs (NOW HIRING)

Noblesoft Technologies

Gen AI Architect

Pleasanton, CA · Remote

We are seeking an experienced Generative AI Architect to lead the design, development, and deployment of cutting-edge generative AI systems. The ideal candidate will combine deep technical knowledge ...

Programmers.io

SAP AI Architect

Austin, TX · On-site

$81.50 - $109.75/hr

* AI Architect with Strong experience with SAP AI Core and AI model lifecycle management. * Hands on ... Hands-on experience with SAP Generative AI Hub SDK for building GenAI applications. * Knowledge of ...

BravoTech

AI Architect

Nashville, TN · On-site

Define reference architectures and design patterns for Generative AI, agentic workflows, and AI ... Architect agent-driven enterprise workflows (e.g., code generation, testing, incident triage ...

Vertiv Co

AI Architect

Westerville, OH

$60.75 - $80/hr

Job Summary As a Generative AI Architect, you will lead the architecture design and development of Generative AI solutions for multiple business domains and use cases across the enterprise. You will ...

Vertiv Group Corp.

AI Architect

Westerville, OH · On-site

$60.75 - $80/hr

Job Summary As a Generative AI Architect, you will lead the architecture design and development of Generative AI solutions for multiple business domains and use cases across the enterprise. You will ...

Whiztek Corp

Gen AI Architect

Chicago, IL · On-site

$65 - $85.50/hr

Generative AI Architect Location: Chicago, IL (Hybrid) Job Summary United Airlines is seeking to bring in a contractor who can help us design and build our agent architecture, develop the first one ...

Whiztek Corp

Gen AI Architect

Chicago, IL · On-site

$65 - $85.50/hr

Generative AI Architect Location: Chicago, IL (Hybrid) Job Summary United Airlines is seeking to bring in a contractor who can help us design and build our agent architecture, develop the first one ...

Whiztek Corp

Gen AI Architect

Chicago, IL · On-site

$65 - $85.50/hr

Generative AI Architect Location: Chicago, IL (Hybrid ) Job Summary United Airlines is seeking to bring in a contractor who can help us design and build our agent architecture, develop the first one ...

Mindlance

AI Architect

Washington, DC

... models to advanced Generative AI and Retrieval-Augmented Generation (RAG) systems. SKILLS ... Architecture Design : Architect end-to-end AI pipelines, including data ingestion, model training ...

Qualitest Group

Gen AI Architect

Santa Clara, CA · On-site +1

$74.50 - $98/hr

Architect enterprise-scale Generative AI solutions leveraging LLMs, embeddings, and retrieval-augmented generation (RAG) pipelines. * Design and implement scalable AI microservices and APIs ...

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All JobsGenerative Ai Architect Jobs

Generative Ai Architect information

See salary details

$46.5K

$128.8K

$201.5K

How much do generative ai architect jobs pay per year?

As of Jun 16, 2026, the average yearly pay for generative ai architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

What is a Generative AI architect?

A Generative AI architect designs and develops AI systems that create content such as images, text, or audio using generative models like GANs or transformers. They typically have expertise in machine learning, deep learning frameworks, and programming languages such as Python, and often work on building scalable, efficient AI solutions for various applications.

What is the salary of Generative AI architect?

The salary of a Generative AI architect typically ranges from $120,000 to $180,000 annually, depending on experience, location, and industry. Senior roles with specialized skills in machine learning frameworks and deep learning tools may offer higher compensation, often exceeding $200,000 in some markets.

How much does an AI architect get paid?

AI architects typically earn between $100,000 and $180,000 annually, depending on experience, location, and industry. Senior roles with specialized skills in machine learning, deep learning, and cloud platforms can command higher salaries, especially in tech hubs or large organizations.

What are the key skills and qualifications needed to thrive as a Generative AI Architect, and why are they important?

To thrive as a Generative AI Architect, you need strong expertise in machine learning, deep learning, and software engineering, usually supported by an advanced degree in computer science or a related field. Proficiency with frameworks like TensorFlow, PyTorch, and cloud platforms such as AWS or Azure, as well as experience with MLOps tools, is typically required. Creative problem-solving, strong communication, and cross-functional collaboration are vital soft skills for designing innovative AI solutions and guiding teams. These skills ensure the architect can build scalable, cutting-edge generative AI systems that address business needs and drive technological advancement.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as Generative AI Architects or senior AI executives that offer compensation in this range, often including base salary, bonuses, and equity. These positions require advanced skills in machine learning, deep learning, and AI system design, and are usually found in leading tech companies or AI-focused organizations. Such roles are highly competitive and demand extensive experience and expertise in AI development and deployment.

What are some of the main challenges Generative AI Architects face when designing scalable AI solutions?

Generative AI Architects often encounter challenges related to balancing computational efficiency with model accuracy, especially when deploying large-scale models in production environments. Ensuring data privacy and ethical AI use is also critical, as these systems may generate content based on sensitive or proprietary data. Additionally, collaborating effectively with cross-functional teams—such as data scientists, engineers, and business stakeholders—is essential to align technical solutions with organizational goals. Staying up-to-date with rapid advancements in generative AI techniques is another ongoing challenge in this dynamic field.

What is the difference between Generative Ai Architect vs Data Scientist?

AspectGenerative Ai ArchitectData Scientist
CredentialsAI/ML certifications, advanced degrees in CS or AIStatistics, Data Analysis, Computer Science degrees
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, business units
Industry UsageAI product development, machine learning projectsData analysis, predictive modeling, business insights
Search/Comparison IntentUnderstanding AI architecture roles, technical skillsData analysis skills, project scope

While both roles involve working with data and advanced technologies, a Generative Ai Architect specializes in designing and implementing AI models that generate content, whereas a Data Scientist focuses on analyzing data to extract insights and build predictive models. The roles often overlap in skills like programming and machine learning, but their primary focus and work environments differ.

More about Generative Ai Architect jobs
What cities are hiring for Generative Ai Architect jobs? Cities with the most Generative Ai Architect job openings:
What states have the most Generative Ai Architect jobs? States with the most job openings for Generative Ai Architect jobs include:
What job categories do people searching Generative Ai Architect jobs look for? The top searched job categories for Generative Ai Architect jobs are:
Generative Ai Architect jobs near you
Infographic showing various Generative Ai Architect job openings in the United States as of June 2026, with employment types broken down into 3% Internship, 2% As Needed, 92% Full Time, 1% Part Time, and 2% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.
Enterprise Data & AI Architect

Enterprise Data & AI Architect

Kanshe Infotech

Torrance, CA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title: Enterprise Data & AI Architect.
Location: Torrance, CA (Onsite)
Job Type: Contract
Top Skills:
AWS Cloud | AI/ML Architecture | Generative AI | Data Lakehouse | Snowflake/Databricks | SageMaker | Bedrock | Terraform | Data Mesh | Enterprise Data Architecture
Job Description:
We are seeking an experienced Enterprise Data & AI Architect to lead enterprise Data and AI initiatives from strategy and design through deployment. The ideal candidate will have strong expertise in AWS Cloud, AI/ML solutions, modern data architectures, and large-scale analytics platforms.
Key Responsibilities:

  • Design and implement enterprise Data and AI architecture solutions

  • Build scalable AI/ML platforms supporting LLMs, Generative AI, and predictive analytics

  • Lead AWS cloud architecture, governance, security, and cost optimization initiatives

  • Design modern Data Lakehouse and Data Mesh architectures

  • Build and optimize real-time data analytics and reporting platforms

  • Implement AI governance, security, and data privacy best practices

  • Drive AI projects from Proof of Concept (PoC) to enterprise production deployment

  • Collaborate with business, data engineering, and cloud teams to define long-term AI and data strategies


Required Skills:

  • Strong experience with AWS services:

    • S3

    • SageMaker

    • Redshift

    • Glue

    • Bedrock

    • EKS

  • Experience with Snowflake, Databricks, or Apache Spark

  • Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, or LangChain

  • Strong knowledge of Data Lakehouse, Data Mesh, and Enterprise Data Architecture

  • Experience with Infrastructure as Code (Terraform or AWS CloudFormation)

  • Strong understanding of AWS Security, IAM, and Governance best practices


Preferred Qualifications:

  • AWS Certified Solutions Architect Professional or AWS Certified Data Engineer

  • Experience handling large-scale data platforms and complex ETL/ELT pipelines

  • Experience deploying enterprise-scale Generative AI solutions

  • Experience moving AI initiatives from PoC to production

Apply