Gen AI Architect

Cloud Analytics Technologies, LLC; Charlotte (NC); On-site; USD 180,000 - 240,000; Full time

Job summary

Cloud Analytics Technologies is seeking a Gen AI Architect to lead the design and implementation of enterprise AI/ML solutions using Generative AI and Azure OpenAI services. You will drive architecture, governance, and scalable deployments across data ingestion, model training, and inference pipelines.

The ideal candidate has 10+ years in enterprise AI/ML, deep experience with LLMs, and proficiency with LangChain/LangGraph.

Qualifications

• Proven experience 10+ years leading AI/ML architecture in enterprise environments.
• Experience deploying LLMs and RAG frameworks in production.
• Experience with AI/ML tools such as TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph.
• Knowledge of cloud platforms (AWS, Azure, GCP) for AI deployment.
• Experience developing CI/CD pipelines for AI/ML deployments.

Responsibilities

• Define and drive the AI/ML architecture and roadmap, including GenAI use cases.
• Design end-to-end AI solutions—data ingestion, feature engineering, training, inference, monitoring.
• Lead integration of LLMs and RAG frameworks (LangChain/LangGraph).
• Collaborate with stakeholders to translate requirements into scalable AI solutions.
• Evaluate AI/ML tools and cloud services based on use case needs.
• Ensure governance, security, explainability, and compliance in models.

Skills

Problem solving

Communication

Stakeholder management

Education

Advanced degree

Tools

TensorFlow

PyTorch

Hugging Face

LangChain

LangGraph

Azure OpenAI

AWS / GCP

Job description

Job Description:

The Gen AI Architect will leverage advanced Generative AI models and Azure OpenAI services to develop innovative solutions for investment banking processes. The ideal candidate will have a strong background in investment banking, hands‑on experience with Microsoft Azure OpenAI, and expertise in Retrieval‑Augmented Generation (RAG).

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., 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.


• Familiar with project management and Agile practices.

CLOUD ANALYTICS TECHNOLOGIES is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

Equal Opportunity Employer

CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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