Job Title: Generative AI Architect
Location: Bay Area, CA (Onsite) Experience Level: Senior / Architect
Role Summary:
As a Generative AI Architect, you will play acritical role in designing, architecting, and deploying end-to-end Generative AI applications tailored to enterprise needs. You will work with client stakeholders, data scientists, engineers, and product owners to build scalable GenAI solutions leveraging cloud-native technologies and LLM ecosystems.
Key Responsibilities:
- Architect and deliver GenAI-based solutions aligned with client business goals and cloud environment (Azure, AWS, or GCP).
- Lead the development lifecycle of GenAI applications including use case design, data pipelines, model integration, and front-end integration.
- Evaluate and fine-tune large language models (LLMs) for specific enterprise use cases such as chatbots, summarization, code generation, document understanding, etc.
- Implement Retrieval-Augmented Generation (RAG), vector databases (e.g., FAISS, Pinecone), and prompt engineering techniques.
- Collaborate with cross-functional teams including cloud architects, ML engineers, and product managers.
- Ensure GenAI systems meet performance, scalability, security, and compliance standards.
- Stay current with emerging trends in GenAI, MLOps, and AI safety.
Required Qualifications:
- Bachelor's or Master's in Computer Science, Data Science, AI/ML, or related field.
- 7+ years of experience in data engineering/ML/AI, with 2+ years hands-on in Generative AI projects.
- Strong experience with LLMs such as GPT, Claude, LLaMA, Mistral, or open-source equivalents.
- Proficient in Python and cloud-native development (Azure, AWS, or GCP).
- Experience with LangChain, LlamaIndex, and orchestration of multi-modal GenAI workflows.
- Familiarity with MLOps frameworks and CI/CD pipelines for AI.
- Excellent communication and stakeholder management skills.