GEN AI Architect

Charlotte, VT - USA

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

Role: Gen AI Architect
Location: Charlotte NC (Hybrid 3 days office in a week)
Position type: W2 contract

The Role

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 GCP) 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. Masters) 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.
Familiar with project management and Agile practices.

Role: Gen AI Architect Location: Charlotte NC (Hybrid 3 days office in a week) Position type: W2 contract The Role 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-e...

Role: Gen AI Architect
Location: Charlotte NC (Hybrid 3 days office in a week)
Position type: W2 contract

The Role

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 GCP) 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. Masters) 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.
Familiar with project management and Agile practices.