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Generative Ai Architect Jobs (NOW HIRING)

DATA INDICATORS LLC

AI Architect

Dublin, OH · Remote

$64.50 - $85/hr

Architect Generative AI, LLM, RAG, semantic/vector search, AI assistant, and agentic AI solutions. * Design secure integrations between AI platforms, enterprise applications, APIs, knowledge ...

DATA INDICATORS LLC

AI Architect

Dublin, OH · Remote

$64.50 - $85/hr

Architect Generative AI, LLM, RAG, semantic/vector search, AI assistant, and agentic AI solutions. * Design secure integrations between AI platforms, enterprise applications, APIs, knowledge ...

DATA INDICATORS LLC

AI Architect

Dublin, OH · Remote

$64.50 - $85/hr

Architect Generative AI, LLM, RAG, semantic/vector search, AI assistant, and agentic AI solutions. * Design secure integrations between AI platforms, enterprise applications, APIs, knowledge ...

Virtusa Corporation

Architect

Las Vegas, NV · On-site

$60.25 - $79.25/hr

AI Architect - Agentic AI Solutions Role Overview We are seeking an experienced AI Architect to ... 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 ...

Noblesoft Technologies

AI Architect

Paramus, NJ · On-site

We are seeking a highly accomplished AI Architect with deep expertise in Google AI technologies and Generative AI to lead the design and implementation of enterprise-scale AI solutions. This role ...

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 ...

Yotta Systems INC

AI Architect

Charlotte, NC · On-site

AI Architect Location : Charlotte, NC (Onsite) Job Type : W2 Contract ... Required Skills * 8+ years of software/technology experience with 3+ years in AI/ML or Generative ...

Vertiv Co

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 ...

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 ...

GalaxEsystems

Senior AI Architect

Plano, TX · On-site

Plano TX Visa: USC/GC/H1 Transfer/H4 ead Fulltime/W2 Role Summary An AI Architect designs and oversees enterprise AI solutions, including generative AI, machine learning, automation, and data ...

Real Soft, Inc.

AI Architect

Overview The AI Architect is responsible for designing, developing, and governing enterprise grade ... for generative AI, Agentic AI, predictive models, conversational systems, and intelligent ...

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 ...

MWI Buying Group

Own end‑to‑end architecture for enterprise Generative AI and Agentic AI solutions, from concept through production. * Lead rapid POC and MVP development to validate AI use cases and de‑risk ...

International Oncology Network Solutions Inc

WI · On-site

Own end‑to‑end architecture for enterprise Generative AI and Agentic AI solutions, from concept through production. * Lead rapid POC and MVP development to validate AI use cases and de‑risk ...

New

AmerisourceBergen Corporation

WI · On-site

Own end‑to‑end architecture for enterprise Generative AI and Agentic AI solutions, from concept through production. * Lead rapid POC and MVP development to validate AI use cases and de‑risk ...

New

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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 Sep 9, 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 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 $128,756 per year, or $61.9 per hour.

AI Architect

Dublin, OH • Remote

DATA INDICATORS LLC
IT Services • 11 - 50 employees
Learn more about DATA INDICATORS LLCexternal

$64.50 - $85/hr

Full-time

Posted 7 days ago

Job description

AI ArchitectWe are seeking a senior AI Architect to lead the design and development of enterprise AI capabilities across a healthcare and cancer research organization. This role will define the architecture, standards, and roadmap for Generative AI, machine learning, enterprise search, RAG, AI assistants, and agentic AI.
Key Responsibilities
  • Define enterprise AI architecture, standards, reference designs, and technology roadmap.
  • Architect Generative AI, LLM, RAG, semantic/vector search, AI assistant, and agentic AI solutions.
  • Design secure integrations between AI platforms, enterprise applications, APIs, knowledge repositories, and data platforms.
  • Establish reusable AI services, model-selection patterns, guardrails, evaluation, monitoring, and human-in-the-loop controls.
  • Define standards for MLOps/LLMOps, deployment, model lifecycle management, and monitoring.
  • Partner with data, cloud, security, clinical, research, and application teams to move AI solutions into production.
  • Ensure AI solutions meet requirements for security, privacy, governance, auditability, and responsible AI.
  • Provide technical leadership and communicate architecture, risks, and technology decisions to senior stakeholders.
Required Skills
  • 10+ years in enterprise architecture, solution architecture, data/cloud architecture, software engineering, AI/ML, or related disciplines.
  • Strong enterprise architecture experience with Generative AI and LLM-based platforms.
  • Strong knowledge of:
    • LLMs and Generative AI
    • RAG and enterprise search
    • Embeddings and vector databases
    • AI agents / agentic workflows
    • APIs and enterprise integrations
    • Cloud AI platforms
    • MLOps / LLMOps
  • Strong understanding of modern data architecture, cloud platforms, APIs, containers/Kubernetes, and distributed systems.
  • Experience designing solutions involving sensitive or regulated data.
  • Knowledge of AI security, privacy, governance, model risk, and responsible AI.
  • Strong technical leadership and executive communication skills.
Preferred
  • Experience with Glean or similar enterprise AI search / knowledge-management platforms.
  • Healthcare, life sciences, cancer research, pharmaceutical, or other regulated-industry experience.
  • Familiarity with FHIR, HL7, DICOM, Epic, or clinical/research data environments.
  • Experience with Azure, AWS, or Google Cloud AI platforms.
  • Experience with enterprise RAG platforms, vector databases, knowledge graphs, model gateways, or agent frameworks.
Ideal Candidate
A senior architect who combines enterprise architecture leadership with hands-on technical depth in GenAI, RAG, LLMs, agents, cloud/data architecture, and AI governance.