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GenAI Architect

4 months ago

Tampa, United States ClinDCast LLC Full time
Job DescriptionJob DescriptionGenAI Architect

About the Role

We are seeking a skilled GenAI Architect to lead the design, implementation, and co-development of cutting-edge generative AI solutions. The ideal candidate will be both a practitioner and an architect, capable of evaluating and guiding multiple AI solutions while working closely with client teams.

Key Responsibilities

Design and develop scalable, enterprise-grade AI solutions using LLMs and other ML models, with a focus on healthcare challenges

Ensure AI systems prioritize privacy, security, fairness, and adhere to responsible AI practices

Architect and implement AI outputs in various formats (JSON, arrays, HTML) for seamless integration into dashboards

Build extensible API integrations and low-code UI/UX solutions with short development cycles

Develop and optimize AI pipelines, including data preprocessing, feature extraction, model training, and evaluation

Work with frameworks (TensorFlow, PyTorch) and open-source platforms like Hugging Face

Collaborate with Product Development as a Generative AI subject matter expert

Create clear documentation and communicate complex AI concepts to diverse stakeholders

Establish best practices and standards for generative AI development within the organization

Required Qualifications

Bachelors in Computer Science, AI, or related field

5+ years of full-stack engineering expertise with languages like C#, Python, and proficiency in designing architecture

Experience in implementing enterprise AI systems in production settings, including computer vision and NLP

Strong understanding of natural language generation, Gen AI, transformers, LLMs, and text embeddings

3+ years of experience in a technical leadership role, leading project teams and setting technical direction

Expertise in machine learning libraries and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, Llama Index)

Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies

Strong problem-solving skills and ability to think critically and creatively

Preferred Qualifications

Experience with self-supervised learning, transfer learning, and reinforcement learning

Familiarity with vector databases like Pinecone

Knowledge of AI ethics and responsible AI practices