Gen AI Architect - Lead End-to-End AI Solutions (Remote)

Simarn Solutions; California; On-site; USD 88,166 - 118,473; Full time

Job summary

Simarn Solutions is seeking an experienced Gen AI Architect to design, build, and deploy advanced generative AI systems from end to end. You will select foundation models, architect LLM applications, and integrate AI into enterprise platforms while championing responsible AI.

You will lead technical direction, mentor engineers, and collaborate with product, design, and data science teams to drive innovation in AI initiatives. This role offers remote work with strong collaboration across teams.

Qualifications

• 7+ years in AI/ML with 3+ years in Generative AI.
• Deep understanding of transformer architectures and fine-tuning methods.
• Hands-on experience with PyTorch, TensorFlow, Hugging Face, LangChain.
• Strong knowledge of cloud platforms (AWS/GCP/Azure).
• Experience with vector databases (FAISS, Pinecone, Weaviate) and RAG systems.
• Familiarity with responsible AI frameworks and privacy-preserving techniques.

Responsibilities

• Architect end-to-end generative AI solutions across text, image, audio, and multimodal formats.
• Evaluate and select suitable foundation models (GPT, LLaMA, Stable Diffusion, etc.).
• Lead custom LLM development including fine-tuning, prompt engineering, RLHF, and optimization.
• Collaborate with engineering, product, design, and data science teams for AI integration.
• Ensure responsible AI practices covering fairness, privacy, and explainability.
• Guide AI infrastructure setup including data pipelines, vector DBs, model serving, and APIs.
• Conduct POCs, prototypes, and benchmark evaluations.
• Stay current with AI research and recommend emerging tools and methods.
• Mentor engineers and contribute to best practices and internal knowledge sharing.

Skills

Transformer architectures

PyTorch

TensorFlow

Hugging Face

LangChain

Cloud platforms

Vector databases

RAG systems

Education

Bachelor’s or Master’s in CS/AI or related field

Tools

FAISS

Pinecone

Weaviate

Job description

Gen AI Architect / Senior Technical Architect

About the job Gen AI Architect / Senior Technical Architect

Gen AI Architect / Senior Technical Architect
Location: Pleasanton, California
Job Type (C2C): C2C
Job Mode (Remote/Hybrid/Onsite): Remote

Pay Rate: $75/hr
Industry: Information Technology / Artificial Intelligence & Architecture
End Date: 01-Dec-2026

Job Description

We are seeking an experienced Generative AI Architect to design, build, and deploy advanced generative AI systems. The role involves architecting end-to-end AI solutions, selecting appropriate foundation models, designing LLM applications, integrating AI into enterprise platforms, and ensuring responsible AI practices. The architect will lead technical direction, collaborate with cross-functional teams, mentor engineers, and drive innovation across AI initiatives.

Responsibilities

• Architect and design end-to-end generative AI solutions across text, image, audio, and multimodal formats.
• Evaluate and select suitable foundation models (GPT, LLaMA, Stable Diffusion, etc.).
• Lead custom LLM development including fine-tuning, prompt engineering, RLHF, and optimization.
• Collaborate with engineering, product, design, and data science teams for AI integration.
• Ensure responsible AI practices covering fairness, privacy, and explainability.
• Guide AI infrastructure setup including data pipelines, vector DBs, model serving, and APIs.
• Conduct POCs, prototypes, and benchmark evaluations.
• Stay current with AI research and recommend emerging tools and methods.
• Mentor engineers and contribute to best practices and internal knowledge sharing.

Required Qualifications

• Bachelors or Masters in Computer Science, AI, or related field.
• 7+ years in AI/ML with 3+ years in Generative AI (LLMs, diffusion models, etc.).
• Deep understanding of transformer architectures and fine-tuning methods.
• Hands-on experience with PyTorch, TensorFlow, Hugging Face, LangChain, etc.
• Strong knowledge of cloud platforms (AWS/GCP/Azure) and scalable architectures.
• Experience with vector databases (FAISS, Pinecone, Weaviate) and RAG systems.
• Familiarity with responsible AI frameworks and privacy-preserving techniques.

Preferred Qualifications

• Experience with open-source LLMs, quantization, and model distillation.
• Exposure to multimodal models (CLIP, DALL·E, Imagen).
• Contributions to AI research or open-source projects.
• Experience building GenAI copilots, chatbots, or productivity tools.

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management.
• Ability to translate complex AI concepts into business value.
• Innovative, proactive, and collaborative mindset.