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Generative Ai Architect Jobs (NOW HIRING)

Mindlance

AI Architect

Washington, DC · On-site

... 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

$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 ...

Tata Consultancy Services

AI Architect

Minneapolis, MN · On-site

$65.75 - $86.75/hr

Responsibilities : • Define enterprise level AI architecture and design patterns for ML, Generative AI, and Agent based systems • Establish reference architectures for common AI use cases (RAG ...

Appex Innovation

AI Architect

Irvine, CA · On-site

$80/hr

Hands-on experience with LLM-enabled applications and Generative AI * Experience building agent ... AI/ML Solution Architecture • LLM & Generative AI Development • Agent-Based Systems • ...

Capco

AI Technical Architect

Charlotte, NC · Hybrid

$64.75 - $78.25/hr

Generative AI Architect Location: Charlotte, NC | Practice Area: Technology & Engineering | Type: Permanent Shape the architecture of enterprise-scale generative AI solutions at the forefront of ...

Appex Innovation

AI Architect

Irvine, CA · Hybrid

... Generative AI Experience building agent-based / agent-oriented AI systems Strong expertise in ... Solution Architecture LLM & Generative AI Development Agent-Based Systems Retrieval-Augmented ...

Capco

AI Technical Architect

Orlando, FL · Hybrid

$61.75 - $74.75/hr

Generative AI Architect Location: New York, NY & Orlando, FL | Practice Area: Technology & Engineering | Type: Permanent Shape the architecture of enterprise-scale generative AI solutions at the ...

Appex Innovation

AI Architect

Irvine, CA · Hybrid

$75 - $80/hr

Hands-on experience with LLM-enabled applications and Generative AI * Experience building agent ... AI/ML Solution Architecture • LLM & Generative AI Development • Agent-Based Systems • ...

Kforce Technology Staffing

AI Architect

Wichita, KS · On-site

$62.25 - $82/hr

Partner with Product and business teams to identify high-value AI and Generative AI use cases, then lead the technical solutioning process to build the detailed architecture for how AI will solve the ...

Lorven Technologies

AI Solution Architect

Tempe, AZ · On-site

$60.25 - $79.50/hr

AI Solution Architect - Agentic & Generative AI Locations: Austin, Tx | Tempe, Az | Charlotte, NC | New York, NY - Onsite Duration: 12 Months Contract Role Overview The AI Solution Architect is a ...

Symbioun Technologies, Inc

AWS Cloud AI Architect

Atlanta, GA · On-site

$62.50 - $79.50/hr

Hands-on experience with AI/ML, Generative AI, LLMs, NLP, and chatbot solutions * Experience with ... AWS Certified Solutions Architect (Required) * Additional AWS, Azure, or Google Cloud Platform ...

Capco

AI Technical Architect

New York, NY · On-site

$146K - $183K/yr

Generative AI Architect Location: New York, NY & Orlando, FL | Practice Area: Technology & Engineering | Type: Permanent Shape the architecture of enterprise-scale generative AI solutions at the ...

Vangard, Inc.

Chief AI Architect

Charlotte, NC · On-site

This role ensures generative AI capabilities are applied in a practical, business-focused way ... Establish architecture patterns for generative AI powered applications including deployment and ...

Vangard, Inc.

Chief AI Architect

Malvern, PA · On-site

This role ensures generative AI capabilities are applied in a practical, business-focused way ... Establish architecture patterns for generative AI powered applications including deployment and ...

paradigm

Principal AI Architect - Remote

Lombard, IL · Remote

The Principal AI Architect role provides enterprise leadership for the design and delivery of end-to-end AI, Generative AI, and agentic AI solutions, while also contributing hands-on technical ...

Koch

AI Architect

Wichita, KS · On-site

$56.25 - $74.25/hr

Responsibilities : • Partner with Product and business teams to identify high-value AI and Generative AI use cases, then lead the technical solutioning process to build the detailed architecture ...

paradigm

Principal AI Architect - Remote

Lombard, IL · Remote

The Principal AI Architect role provides enterprise leadership for the design and delivery of end-to-end AI, Generative AI, and agentic AI solutions, while also contributing hands-on technical ...

Vanguard Group, Inc.

Chief AI Architect

Malvern, PA · On-site

This role ensures generative AI capabilities are applied in a practical, business-focused way ... Establish architecture patterns for generative AI powered applications including deployment and ...

Cognizant

Sr. AI Architect

San Francisco, CA · On-site

The AI Architect will lead the design and delivery of enterprise-scale Generative AI solutions on Google Cloud Platform, focusing on AI architecture strategy and innovative automation.

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All JobsGenerative Ai Architect Jobs

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 Jul 6, 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 a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI architect or executive role, with compensation including salary, bonuses, and stock options reaching that amount annually. These roles often require advanced expertise in machine learning, deep learning, and experience with large-scale AI systems, along with leadership skills and industry recognition.

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.

Is AI architect a good career?

An AI architect is a specialized role focused on designing and implementing artificial intelligence systems, often requiring skills in machine learning, data science, and software engineering. It is considered a high-demand career with opportunities for growth in technology companies and research institutions, often involving collaboration with cross-functional teams and continuous learning of new tools and frameworks.

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 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 $128,756 per year, or $61.9 per hour.
AI Architect

AI Architect

Mindlance

Washington, DC • On-site

Other

Posted 8 days ago

Job description

Position Summary:

Title: Data Scientist Premium III AI Architect Duration: 6 Month - Long Term
Location: Washington, DC 20043
Work Model: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon

Scope of work
The scope of work includes to design, build, and govern scalable, secure, and cost-effective AI solutions across the enterprise. This role bridges the gap between complex AI research and practical software engineering, orchestrating everything from traditional predictive models to advanced Generative AI and Retrieval-Augmented Generation (RAG) systems.

SKILLS / EXPERIENCE REQUIRED

Senior AI Architect should have the following skills sets/experience.

  • Experience Level: 8 10+ years in software engineering or data architecture, with at least 4+ years specifically dedicated to AI/ML systems design and deployment in production environments.
  • Cost Management: Proven ability to manage and optimize the computing costs associated with running heavy AI workloads (e.g., token optimization, GPU allocation).
  • Communication & Leadership: Exceptional ability to translate complex AI capabilities and limitations to C-suite executives and non-technical stakeholders.
  • Database Knowledge: Familiarity with SQL and data warehousing concepts (e.g., Snowflake, BigQuery) for data pipeline orchestration.

Essential Job Functions & Required Skills:

  • Enterprise AI Strategy: Lead the transition of AI projects from localized Proof of Concepts (PoCs) to scalable, enterprise-wide production systems.
  • Technology Selection: Evaluate and select the appropriate AI technologies (e.g., Deep Learning, Natural Language Processing, Computer Vision, Generative AI) based on business Architecture Design requirements, cost, latency, and data privacy constraints.
  • Architecture Design: Architect end-to-end AI pipelines, including data ingestion, model training/fine-tuning, deployment, and monitoring.
  • MLOps & Infrastructure: Design and implement robust MLOps practices for continuous integration, continuous deployment (CI/CD), and continuous training (CT) of AI models to prevent model drift and degradation.
  • Data & Integration: Work closely with data engineers to design the data architecture required for advanced AI, including vector databases and complex RAG workflows.
  • AI Governance & Ethics: Establish guardrails for AI usage, ensuring models are fair, transparent, secure against adversarial attacks, and compliant with data privacy regulations (e.g., GDPR, CCPA).
    Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
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About Mindlance

Sourced by ZipRecruiter

Mindlance is a multinational staffing and services firm based in the Greater NYC area. We have 14 offices across the United States, Canada, and India. We match talented people to Fortune 500 and Fortune 1000 companies across industries. We have been in business since 1999 and are recognized by Staffing Industry Analysts (SIA) as one of the fastest-growing U.S. staffing firms. Our rapid growth means more jobs, more projects, and more opportunities for you. Our core philosophy means that you work with an organization that truly values and recognizes you.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Union, NJ, US

Year founded

1999

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