Gen AI Tech Lead jobs in United States
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Diversity Nexus ยท 4 months ago

Gen AI Tech Lead

Diversity Nexus is seeking a Gen AI Tech Lead to design and develop generative AI models and lead the integration of foundation models and APIs. The role involves architecting scalable AI pipelines and ensuring the ethical governance of AI systems.

Staffing & Recruiting

Responsibilities

Design and develop GenAI models, including fine-tuning large language models (e.g., GPT, LLaMA, Claude)
Lead the evaluation and integration of foundation models and APIs (e.g., OpenAI)
Architect scalable and secure AI pipelines for data processing, training, and deployment
Stay up-to-date with the latest research and trends in generative AI, multimodal models, and MLOps
Drive experimentation with new models, prompt engineering, and domain-specific adaptations
Create internal GenAI tools, copilots, or agents to enhance employee productivity and customer engagement
Ensure AI systems are explainable, fair, and aligned with ethical guidelines and data privacy laws
Establish monitoring systems to track model performance, drift, and user feedback in production

Qualification

Generative AILarge Language ModelsPythonML FrameworksCloud AI PlatformsPrompt EngineeringAI EthicsResearch & DevelopmentTeam Leadership

Required

Copilot experience is mandatory for this role
Design and develop GenAI models, including fine-tuning large language models (e.g., GPT, LLaMA, Claude)
Lead the evaluation and integration of foundation models and APIs (e.g., OpenAI)
Architect scalable and secure AI pipelines for data processing, training, and deployment
2+ years of hands-on experience with generative AI technologies and large language models
Proven experience working with Microsoft Copilot (GitHub Copilot) or Azure OpenAI Services
Experience building Gen AI solutions with AWS Bedrock
Strong programming skills in Python, with experience in AI/ML frameworks
Knowledge of prompt engineering, fine-tuning, and model optimization techniques
Stay up-to-date with the latest research and trends in generative AI, multimodal models, and MLOps
Drive experimentation with new models, prompt engineering, and domain-specific adaptations
Create internal GenAI tools, copilots, or agents to enhance employee productivity and customer engagement
Ensure AI systems are explainable, fair, and aligned with ethical guidelines and data privacy laws
Establish monitoring systems to track model performance, drift, and user feedback in production
Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field
10+ years of experience in AI/ML, with at least 3+ years in hands-on GenAI or LLM-related projects
Strong experience with ML frameworks, LLMs (GPT, BERT, etc.), and cloud AI platforms (AWS, Azure, GCP)
Deep understanding of transformer architectures, embeddings, prompt engineering, RAG, and fine-tuning techniques
Proven track record of delivering GenAI applications in enterprise or production environments

Preferred

PhD in computer science, Artificial Intelligence, Machine Learning, or a related field
IBM Loopback - good to have

Company

Diversity Nexus

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Funding

Current Stage
Growth Stage
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