Sr. AI Architect
Accord Technologies Inc
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Charlotte, NC
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Mid-Senior level
Posted April 17, 2026
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Responsibilities
Commitments
Responsibilities
- Define and drive the AI/ML architecture and roadmap, including traditional ML and Generative AI (GenAI) use cases.
- Design end-to-end AI solutions including data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks.
- Lead the integration of Large Language Models (LLMs) and RAG (Retrieval-Augmented Generation) frameworks using tools such as LangChain, LangGraph, or similar.
- Collaborate with stakeholders to translate business requirements into AI-driven technical solutions.
- Evaluate and select appropriate AI/ML tools, cloud services, frameworks, and libraries for specific use cases.
- Ensure model governance, security, explainability, and compliance with ethical AI practices and regulatory requirements.
- Guide engineering teams in the implementation of AI components, ensuring scalability, reliability, and performance.
- Work with DevOps teams to enable CI/CD for AI pipelines, including model versioning and A/B testing.
- Stay current with industry trends, research, and advancements in AI and recommend best practices for adoption.
Commitments
Location: Charlotte, NC
Hybrid 3 days a week from office.
Position type: W2 contract.
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Requirements
- Mandatory skills: AI/ML architecture, ML and Generative AI (GenAI) use cases, Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), LangChain, LangGraph,CI/CD for AI pipelines Min experience: 10+ Years
- Define and drive the AI/ML architecture and roadmap, including traditional ML and Generative AI (GenAI) use cases.
- Design end-to-end AI solutions including data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks.
- Lead the integration of Large Language Models (LLMs) and RAG (Retrieval-Augmented Generation) frameworks using tools such as LangChain, LangGraph, or similar.
- Collaborate with stakeholders to translate business requirements into AI-driven technical solutions.
- Evaluate and select appropriate AI/ML tools, cloud services, frameworks, and libraries for specific use cases.
- Ensure model governance, security, explainability, and compliance with ethical AI practices and regulatory requirements.
- Guide engineering teams in the implementation of AI components, ensuring scalability, reliability, and performance.
- Work with DevOps teams to enable CI/CD for AI pipelines, including model versioning and A/B testing.
Education
- (Not required) – Title: Sr.
Title: Sr. AI Architect
Location: Charlotte, NC
Hybrid 3 days a week from office.
Duration; long term
Position type: W2 contract.
Mandatory skills: AI/ML architecture, ML and Generative AI (GenAI) use cases, Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), LangChain, LangGraph,CI/CD for AI pipelines Min experience: 10+ Years
Job Description
Define and drive the AI/ML architecture and roadmap, including traditional ML and Generative AI (GenAI) use cases.
Design end-to-end AI solutions including data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks.
Lead the integration of Large Language Models (LLMs) and RAG (Retrieval-Augmented Generation) frameworks using tools such as LangChain, LangGraph, or similar.
Collaborate with stakeholders to translate business requirements into AI-driven technical solutions.
Evaluate and select appropriate AI/ML tools, cloud services, frameworks, and libraries for specific use cases.
Ensure model governance, security, explainability, and compliance with ethical AI practices and regulatory requirements.
Guide engineering teams in the implementation of AI components, ensuring scalability, reliability, and performance.
Work with DevOps teams to enable CI/CD for AI pipelines, including model versioning and A/B testing.
Stay current with industry trends, research, and advancements in AI and recommend best practices for adoption.
Location: Charlotte, NC
Hybrid 3 days a week from office.
Duration; long term
Position type: W2 contract.
Mandatory skills: AI/ML architecture, ML and Generative AI (GenAI) use cases, Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), LangChain, LangGraph,CI/CD for AI pipelines Min experience: 10+ Years
Job Description
Define and drive the AI/ML architecture and roadmap, including traditional ML and Generative AI (GenAI) use cases.
Design end-to-end AI solutions including data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks.
Lead the integration of Large Language Models (LLMs) and RAG (Retrieval-Augmented Generation) frameworks using tools such as LangChain, LangGraph, or similar.
Collaborate with stakeholders to translate business requirements into AI-driven technical solutions.
Evaluate and select appropriate AI/ML tools, cloud services, frameworks, and libraries for specific use cases.
Ensure model governance, security, explainability, and compliance with ethical AI practices and regulatory requirements.
Guide engineering teams in the implementation of AI components, ensuring scalability, reliability, and performance.
Work with DevOps teams to enable CI/CD for AI pipelines, including model versioning and A/B testing.
Stay current with industry trends, research, and advancements in AI and recommend best practices for adoption.