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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 ...

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 ...

Futran Tech Solutions Pvt. Ltd.

AI Architect

Austin, TX · On-site

Senior Infra AI Architect Location: Austin, TX * AI Architect with Strong experience with SAP AI ... Hands-on experience with SAP Generative AI Hub SDK for building GenAI applications. * Knowledge of ...

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 ...

Synapse Tech Services Inc

Azure AI Architect

Irving, TX · Hybrid

$61 - $79.50/hr

Generative AI & LLMs * RAG Architecture * Prompt Engineering * AI Governance * Proficiency in Python and REST APIs. * Experience with Azure DevOps, CI/CD, and cloud-native architectures. Preferred ...

Purple Drive Technologies

Gen AI architect

Mclean, VA · On-site

$63.75 - $84/hr

Generative AI Architect Experience Required: 8-10 Years Job Summary We are seeking a highly experienced Generative AI Architect to lead the design, architecture, and enterprise-wide adoption of AI ...

UnivEdge Consulting LLC

AI Architect

Manhattan, NY

AI Architect Location: NY (Hybrid) Duration: Contract Experience: 10+ Years Role Overview We are ... The ideal candidate will be a hands-on technical leader with expertise in Generative AI, LLMs ...

Globalchannelmanagement

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

... or comparable generative AI ecosystems). * Deep expertise in cloud platforms, particularly ... Provide architectural oversight across AI/ML projects to ensure consistency, performance, and ...

Whiztek Corp

Gen AI Architect

Chicago, IL · On-site

$65 - $85.50/hr

Design and architect end-to-end Generative AI solutions aligned with business objectives. * Lead the implementation of LLM-powered applications using models such as GPT, Claude, Gemini, Llama, and ...

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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.

Generative AI Architect

Saransh Inc

Charlotte, NC • On-site

$61.50 - $81/hr

Contractor

Posted 9 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.