Gen AI Architect
Hybrid in Charlotte, NC, US • Posted 8 hours ago • Updated 8 hours agoContract W2
No Travel Required
Hybrid
Depends on Experience
Zenoisys Global LLC
Fitment
Dice Job Match Score™
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Job Details
Skills
- Generative Artificial Intelligence (AI)
- Systems Design
- PyTorch
- Open Source
- Machine Learning (ML)
- Large Language Models (LLMs)
- Data Science
Summary
Responsibilities:
- Define and drive the AI/ML architecture and roadmap, including both traditional machine learning and Generative AI (GenAI) use cases.
- Design comprehensive end-to-end AI solutions covering data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks.
- Lead the integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks, utilizing tools such as LangChain, LangGraph, or similar.
- Collaborate with business stakeholders to translate requirements into scalable AI-driven technical solutions.
- Evaluate and select appropriate AI/ML tools, cloud services, frameworks, and libraries based on use case needs and industry best practices.
- Ensure models adhere to governance, security, explainability, and regulatory compliance, embedding ethical AI principles into system design.
- Guide engineering teams in the implementation of AI components, emphasizing scalability, reliability, and performance optimization.
- Partner with DevOps teams to establish CI/CD pipelines for AI, including model versioning, deployment automation, and ongoing A/B testing.
- Keep abreast of the latest industry research, breakthroughs, and emerging trends in AI, recommending adoption of best practices and innovative solutions.
Requirements:
- Proven experience 10+ years, excel in leading AI/ML architecture and strategy in enterprise environments.
- Strong expertise in designing and deploying large-scale AI/ML solutions, including LLMs and RAG frameworks.
- Experience with AI/ML tools and frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph, or similar.
- Deep understanding of data workflows, feature engineering, model training, evaluation, and deployment.
- Knowledge of cloud platforms (AWS, Azure, Google Cloud Platform) and services tailored for AI deployment.
- Familiarity with model governance, security, explainability, and ethical AI standards.
- Experience in developing CI/CD pipelines for AI/ML, including model versioning, monitoring, and performance tuning.
- Strong problem-solving, communication, and stakeholder management skills.
Preferred, but not required:
- Advanced degree (Ph.D., Master’s) in Computer Science, Data Science, AI, or related fields.
- Publications or practical contributions to AI research and open-source projects.
- Experience working in regulated industries or environments requiring compliance and governance.
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.
- Dice Id: 91171076
- Position Id: 8867704
- Posted 8 hours ago
Company Info
About Zenoisys Global LLC
Founded in 2016, Zenoisys is committed to driving business growth through innovative technology solutions. With presence in North America and South Asia, we serve clients around the world—delivering advanced services in artificial intelligence, cloud transformation, custom application development, and staff augmentation.
Our experienced team blends deep technical knowledge with strategic business insight to guide organizations through every stage of their digital transformation journey.
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