Accord Tecnologies.Inc
New York, NY
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Job Description :

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., 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.
             

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