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Generative Ai Architect Jobs (NOW HIRING)

Saransh Inc

Generative AI Architect

Charlotte, NC · On-site

$61.50 - $81/hr

Generative AI Architect Location: Charlotte, NC (Onsite from Day 1) Job Type: Contract Skill Metrics: Claude Microsoft GitHub Copilot PyTorch What are the top skills required for this role? 1. Hands ...

Prophecy Technologies

Generative AI Architect

Minneapolis, MN · On-site

$65.75 - $86.75/hr

This role focuses on defining enterprise AI architecture and target-state roadmaps, with a strong emphasis on designing and implementing Generative AI and Agentic AI solutions. The architect will be ...

Staffingine LLC

Generative AI Architect

Orange, CT · On-site

Generative AI Architect Job Location: Orange, Connecticut Job Type: Contract * ideate/originate AI Use Cases within the organization. * Act as a strategic consultant to business leaders, facilitating ...

Tror AI for everyone

AI Architect

Dallas, TX · On-site

$62.25 - $82/hr

Remote AI Architect to define and lead scalable enterprise AI architecture across AI/ML and Generative AI initiatives. * Design and lead AI architecture for business use cases * Define the right AI ...

Tror AI for everyone

AI/ML Architect

Minneapolis, MN · Remote

AI Architect to define and lead scalable enterprise AI architecture across AI/ML and Generative AI initiatives. * * Design and lead AI architecture for business use cases * Define the right AI ...

Virtusa Corporation

AI Architect

Las Vegas, NV · On-site

$60.25 - $79.25/hr

Job Title AI Architect - Agentic AI Solutions Role Overview We are seeking an experienced AI ... Vertex AI BigQuery Cloud Functions Google Cloud Platform (GCP) Agentic AI Generative AI Large ...

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 ...

Neshent Technologies

AI Architect

Webster, TX · Remote

$55.25 - $72.75/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

Meadows Place, TX · Remote

$54.25 - $71.50/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

AI Architect

Pearland, TX · Remote

$56.25 - $74/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

Neshent Technologies

$60.25 - $79.50/hr

The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will ...

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Generative Ai Architect information

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$46.5K

$128.8K

$201.5K

How much do generative ai architect jobs pay per year?

As of Aug 18, 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 are the main challenges a Generative AI Architect faces 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 are the key skills and qualifications needed to thrive as a Generative AI Architect?

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 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.

How to become a generative AI architect?

To become a generative AI architect, one should have a strong background in computer science, machine learning, and deep learning, with experience in neural network models such as transformers and GANs. Proficiency in programming languages like Python, familiarity with AI frameworks like TensorFlow or PyTorch, and knowledge of data preprocessing are essential. Gaining certifications in AI or machine learning and working on relevant projects can also enhance qualifications for this role.
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Generative Ai Architect jobs near you
Infographic showing various Generative Ai Architect job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

Generative AI Architect

Saransh Inc

Charlotte, NC • On-site

$61.50 - $81/hr

Contractor

Re-posted 13 days ago

Job description

Job Title: Generative AI Architect
Location: Charlotte, NC (Onsite from Day 1)
Job Type: Contract
 
Skill Metrics:
 
Claude
Microsoft GitHub Copilot
PyTorch
 
 
What are the top skills required for this role?
1. Hands on experience of driving gen AI solution using Copilot, Claude Code etc in the STLC
2. Participate in design and implementation of solutions, fine-tuning pipelines, and prompt engineering frameworks
3. Participate in cross-functional GenAI initiatives and PoC’s across entire software lifecycle

Job Description/ Responsibilities:
  • Seeking a visionary and experienced Senior Generative AI Architect to lead the design, development, and implementation of generative AI solutions across software test lifecycle.
  • The selected candidate will define the strategic roadmap for GenAI, evaluate and select appropriate architectures, and ensure the scalability, security, and performance of deployed models.
  • This is a highly collaborative role that bridges client needs, R&D innovation, and enterprise-grade AI engineering.

Key Responsibilities:
• GenAI solution in STLC
o Build/Test Solution to create test automation code for UI/API through GenAI assisted coding
o Build/Test solution for test data mining using Generative AI
• Architecture & Design
o Participate in design and implementation of solutions, fine-tuning pipelines, and prompt engineering frameworks
o Participate in cross-functional GenAI initiatives and PoC’s across entire software lifecycle
• Strategy & Roadmap
o Define GenAI adoption roadmap in alignment with client goals
o Evaluate build-vs-buy decisions and advise on vendor/platform selections
o Advocate for responsible AI practices and model governance frameworks
• Collaboration & Leadership
o Collaborate with data scientists, ML engineers, product managers, and key stakeholders
o Mentor teams in GenAI best practices, including model optimization, deployment, and safety measures
• Innovation & Experimentation
o Stay ahead of the curve on advancements in transformer architectures, LLM training, and multimodal AI.
o Prototype custom models using frameworks like LangChain, PyTorch, etc.