Sr. AI Architect

23 hours ago

Charlotte, North Carolina, United States Aadhya Technologies Inc Full time $150,000 - $200,000 per year

Company Description

At Aadhya Technologies Inc, we specialize in delivering cutting-edge IT consulting and top-tier recruitment services that help businesses thrive in a rapidly evolving digital world. Whether you're scaling a startup or transforming enterprise systems, we bring the right people and the right technology together to drive results. We focus on quality, agility, and innovation to help organizations solve complex tech challenges and build teams that fuel long-term success. From cloud solutions to full-stack development, and from niche talent acquisition to strategic workforce planning — we're your partner in progress.

Role Description

This is a contract role for a Sr. AI Architect. The Sr. AI Architect will be responsible for designing and developing AI architectures, integrating AI systems, and managing AI-related projects. Day-to-day tasks include collaborating with cross-functional teams, overseeing software development, and ensuring seamless system integration. This is a hybrid role based in Charlotte, NC, with some work from home acceptable.

Client: Banking

Hybrid 3 days a week from office.

Rates: $/hr on C2C

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.

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