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TC

Gen AI Architect

TechDigital Corporation
🇺🇸 United States
On-site
Staff / Principal
10 months ago
  • Machine Learning
  • AI/ML
  • Large Language Models
  • AI
  • GPT
  • Stable Diffusion
  • RLHF
  • System Design
  • PyTorch
  • TensorFlow
  • Hugging Face
  • LangChain
  • MLOps
  • AWS
  • GCP
  • Azure
  • Microservices
  • Pinecone
  • Weaviate
  • FAISS
  • RAG
10 months ago
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We are seeking an experiencedGenerative 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 appropriatefoundation models (e.g., GPT, LLaMA, Stable Diffusion) and fine-tuning strategies.
  • Lead the development ofcustom 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 AIinfrastructure (data pipelines, vector databases, model serving, APIs).
  • Stay up-to-date on the latest AI research and tools, and make recommendations for adoption.
  • Conductproofs-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 oftransformer architectures,tokenization, andpretraining/fine-tuning paradigms.
  • Hands-on experience with AI/ML frameworks such asPyTorch, TensorFlow, Hugging Face Transformers, LangChain, etc.
  • Strong knowledge ofMLOps, cloud platforms (AWS, GCP, Azure), and scalable architectures (e.g., microservices, serverless).
  • Experience withvector databases (e.g., Pinecone, Weaviate, FAISS) andretrieval-augmented generation (RAG) systems.
  • Familiarity with responsible AI frameworks and privacy-preserving techniques.
Preferred Qualifications:
  • Experience withopen-source LLMs and model distillation/quantization techniques.
  • Exposure tomultimodal AI models (e.g., CLIP, DALL·E, Imagen).
  • Contributions to AI/ML research (e.g., published papers, open-source projects).
  • Experience buildingGenAI 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.

Gen AI Architect · TechDigital Corporation

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