Accord Technologies Inc
Sr. AI Architect
Location: Charlotte, NC
Hybrid: 3 days a week from office
Duration: Long term
Position type: W2 contract
Pay Range Base pay range: $60,000 – $65,000 per year
Mandatory Skills
AI/ML architecture
ML and Generative AI (GenAI) use cases
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
LangChain, LangGraph
CI/CD for AI pipelines
10+ years of experience
Responsibilities
Define and drive the AI/ML architecture and roadmap, including traditional ML and 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 LLMs and RAG 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.
Seniority Level Mid‑Senior level
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Pay Range Base pay range: $60,000 – $65,000 per year
Mandatory Skills
AI/ML architecture
ML and Generative AI (GenAI) use cases
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
LangChain, LangGraph
CI/CD for AI pipelines
10+ years of experience
Responsibilities
Define and drive the AI/ML architecture and roadmap, including traditional ML and 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 LLMs and RAG 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.
Seniority Level Mid‑Senior level
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