Generative AI Architect

TechDigital Group; Pleasanton (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

A technology company in California is seeking a Generative AI Architect to lead the development of advanced AI systems. The ideal candidate will have extensive experience in AI/ML with a focus on generative technologies and will guide architecture, team collaboration, and responsible AI practices. This role emphasizes leadership, innovation, and technical expertise in generative AI capabilities.

Qualifications

• 7+ years of AI/ML experience, with 3+ years in generative AI.
• Experience designing and deploying large-scale AI systems.
• Hands-on experience with AI/ML frameworks required.

Responsibilities

• Architect and design generative AI solutions aligning with business objectives.
• Lead development of custom LLM applications including prompt engineering.
• Mentor junior engineers and contribute to knowledge sharing.

Skills

AI/ML experience

Leadership skills

Problem-solving skills

Analytical skills

Communication skills

Education

Bachelor's or Master's degree in Computer Science, AI, or ML

Tools

PyTorch

TensorFlow

Hugging Face Transformers

LangChain

Cloud platforms (AWS, GCP, Azure)

Job description

Overview

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.