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Job Description
GenAI 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
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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