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Gen AI Architect&nbsp
Gen AI Architect&nbspInherent Technologies • Pleasanton, California, USA
Gen AI Architect

Gen AI Architect

Inherent Technologies • Pleasanton, California, USA
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Position : Gen AI Architect

Location : Pleasanton CA

  • Day 1 Onsite

Duration : 1 Years

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 :

  • Bachelors or Masters 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.
  • Key Skills

    APIs,Pegasystems,Spring,SOAP,.NET,Hybris,Solution Architecture,Service-Oriented Architecture,Adobe Experience Manager,J2EE,Java,Oracle

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

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    Ai • Pleasanton, California, USA

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