Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6 Month(s)
Able to Provide Sponsorship
Skills
Artificial intelligence
Python
Cloud computing
Generative Artificial Intelligence (AI)
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Natural language processing
Job Details
AI Lead
Charlotte, NC / Concord, CA (Onsite)
Long Term
No. of Positions: 3
Must have expert with Python.
We are seeking an experienced AI Architect to lead the design, development, and implementation of an advanced internal-facing assistant solution. The ideal candidate will have a strong background in architecture, product evaluation, and hands-on implementation experience with AI-powered assistants similar to Glean or Rogo.
Key Responsibilities:
- Design and architect a scalable, secure, and efficient internal assistant solution using cutting-edge AI and natural language processing technologies
- Develop proof-of-concepts and prototypes to validate architectural decisions
- Lead the integration of the chatbot with internal systems, databases, and APIs
- Collaborate with cross-functional teams to gather requirements and ensure alignment with business objectives
- Implement best practices for AI model deployment, monitoring, and continuous improvement
- Provide technical leadership and mentorship to the development team
- Stay up-to-date with the latest advancements in AI, GenAI, and LLMs, incorporating innovative features into the chatbot architecture
Required Qualifications:
- 10+ years of experience in software development, with a focus on AI and machine learning
- Proven experience architecting and implementing internal-facing AI chatbot solutions similar to Glean or Rogo
- Strong hands-on experience with Python, LLMs, and Generative AI technologies
- Deep understanding of natural language processing, sentiment analysis, and text generation techniques
- Expertise in cloud platforms (AWS, Azure, or Google Cloud Platform) for AI model deployment and scaling
- Experience with MLOps practices and tools for model lifecycle management
- Strong problem-solving skills and ability to translate complex business requirements into technical solutions
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.