ZipRecruiter

Log In

2

Remote Gen Ai Architect Jobs (NOW HIRING)

Noblesoft Technologies

Gen AI Architect

Pleasanton, CA · Remote

Pleasanton , California (Remote) JD: We are seeking an experienced Generative AI Architect to lead the design, development, and deployment of cutting-edge generative AI systems. The ideal candidate ...

Ruri Software Technologies LLC

Gen AI Architect

Gen AI Architect Tenure: 2-6 Months (Expected to extend based on the initial 2-month implementation period) Interview Process: Internal & Client Job Summary: 1) Rapidly assess the customer landscape ...

3Pillar

Architect / Principal, AI ML Engineer

Define end-to-end architecture for AI/ML and Gen AI, Agentic AI, MCP systems including data ... From interviews to onboarding, we embody a remote-first approach. * You will be part of a global ...

Oxford Global Resources

AI Architect

OR · Remote

Leverage, customize and implement Gen AI models, algorithms, and methodologies to improve the ... Architect components of an LLM solution to address Responsible AI & Security. * Design LLM Ops ...

Globalchannelmanagement

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts. AI Architect requires: * Strong understanding of data governance, privacy, security, and model risk ...

Futran Tech Solutions Pvt. Ltd.

AI Architect

Remote About the Role Wipro is seeking an AI Architect to define and own the end-to-end technical architecture of a production Agentic AI platform for a large-scale healthcare technology engagement.

AmeriSave Mortgage Corp.

$175K - $350K/yr

Architect and deploy Gen AI applications using LLMs and agentic frameworks for mortgage lending use ... High-speed internet required for remote work, Cable or Fiber ONLY with the ability to connect via ...

next page

Showing results 1-20

All JobsGen Ai Architect JobsRemote Gen Ai Architect Jobs

Remote Gen Ai Architect information

See salary details

$16

$70

$95

How much do remote gen ai architect jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote gen ai architect in the United States is $70.17, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $79.81 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Gen AI Architect, you need expertise in machine learning, deep learning, and software architecture, often supported by a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow and PyTorch), cloud platforms (like AWS or Azure), and relevant certifications are commonly expected. Strong problem-solving, collaboration, and communication skills help in bridging technical and business requirements while effectively working with remote teams. These abilities are crucial to designing scalable, innovative AI solutions that meet organizational needs in a distributed work environment.

What are some common challenges faced by Remote Gen AI Architects when collaborating with distributed teams?

As a Remote Gen AI Architect, one of the main challenges is ensuring seamless communication and alignment with cross-functional teams that may be spread across different time zones. Coordinating design decisions, sharing complex technical concepts, and maintaining documentation can require additional effort compared to in-person collaboration. Utilizing collaborative tools, setting clear meeting agendas, and establishing regular check-ins can help mitigate these challenges and ensure that architectural standards and project goals are consistently met.

What is a Remote Gen AI Architect?

A Remote Gen AI Architect is a professional who designs, develops, and oversees the architecture of generative artificial intelligence (Gen AI) systems while working remotely. They are responsible for creating scalable AI solutions, integrating advanced machine learning models, and ensuring that systems meet business and technical requirements. This role typically involves collaborating with data scientists, engineers, and stakeholders to deliver AI-driven products or services. Gen AI Architects must stay up to date with the latest advancements in AI and cloud technologies, and they often work for companies that support distributed or fully remote teams.
More about Remote Gen Ai Architect jobs
What cities are hiring for Remote Gen Ai Architect jobs? Cities with the most Remote Gen Ai Architect job openings:
What are the most commonly searched types of Gen Ai Architect jobs? The most popular types of Gen Ai Architect jobs are:
What states have the most Remote Gen Ai Architect jobs? States with the most job openings for Remote Gen Ai Architect jobs include:
What job categories do people searching Remote Gen Ai Architect jobs look for? The top searched job categories for Remote Gen Ai Architect jobs are:
Remote Gen Ai Architect jobs near you
Infographic showing various Remote Gen 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 $145,963 per year, or $70.2 per hour.
Gen AI Architect

Gen AI Architect

Noblesoft Technologies

Pleasanton, CA • Remote

Contractor

Re-posted 25 days ago

Job description

Job Title: Gen AI Architect
Location: Pleasanton , California (Remote)
 
JD: 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 of AI/ML (particularly large language models and diffusion models) with strong architecture and leadership skills. You will play a critical role in shaping our AI strategy and enabling innovative products powered by generative technologies.
 
Key Responsibilities:
  • Architect and design end-to-end generative AI solutions (text, image, audio, or multimodal) that align with business objectives.
  • Evaluate and select appropriate foundation models (e.g., GPT, LLaMA, Stable Diffusion) and fine-tuning strategies.
  • Lead the development of custom LLM applications, including prompt engineering, fine-tuning, RLHF, and model compression.
  • Collaborate with cross-functional teams (engineering, product, design, data science) to integrate AI into products and platforms.
  • Ensure responsible and ethical AI practices are embedded in system design (e.g., fairness, privacy, explainability).
  • Guide the implementation of AI infrastructure (data pipelines, vector databases, model serving, APIs).
  • Stay up-to-date on the latest AI research and tools, and make recommendations for adoption.
  • Conduct proofs-of-concept, prototypes, and performance benchmarking.
  • Mentor junior engineers and contribute to best practices and internal knowledge sharing.
 
 
Required Qualifications:
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning
  • 7+ years of experience in AI/ML, with 3+ years in generative AI (LLMs, diffusion models, etc.).
  • Proven experience designing and deploying large-scale AI systems.
  • Deep understanding of transformer architectures, tokenization, and pretraining/fine-tuning paradigms.
  • Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, etc.
  • Strong knowledge of MLOps, cloud platforms (AWS, GCP, Azure), and scalable architectures (e.g., microservices, serverless).
  • Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) systems.
  • Familiarity with responsible AI frameworks and privacy-preserving techniques.
 
 
Preferred Qualifications:
  • Experience with open-source LLMs and model distillation/quantization techniques.
  • Exposure to multimodal AI models (e.g., CLIP, DALL·E, Imagen).
  • Contributions to AI/ML research (e.g., published papers, open-source projects).
  • Experience building GenAI copilots, chatbots, or productivity tools.
 
 
Soft Skills:
  • Strong problem-solving and analytical skills.
  • Excellent communication and stakeholder management abilities.
  • Ability to translate complex AI concepts into business value.
  • Entrepreneurial mindset and passion for innovation