Job Description :

Client: Healthcare

Location: Hartford CT or Dallas TX or remote

 

AI Solution Design and Architecture:

  • Lead the design and architecture of generative AI solutions, with a focus on leveraging ChatGPT (GPT 3, 3.5, 4,Gemini) and other LLM (Large Language Model) technologies.
  • Create scalable AI architectures that can be integrated into existing systems and workflows, ensuring performance, reliability, and flexibility.
  • Define best practices for using generative AI models, including ethical considerations, model training, fine-tuning, and deployment.

Application Integration:

  • Develop strategies for integrating generative AI solutions, including ChatGPT, into various business applications
  • Collaborate with software development teams to ensure seamless API integration between AI systems and business applications.
  • Ensure AI models are optimized for real-time interaction and can handle the scale of operations.

Customization and Optimization:

  • Customize ChatGPT models and other AI technologies to align with specific business needs, such as customer service automation, data analysis, and content generation.
  • Continuously fine-tune and optimize AI models based on performance metrics and user feedback to improve accuracy and effectiveness.
  • Develop workflows and automations using generative AI that streamline tasks and enhance decision-making.

Stakeholder Collaboration:

  • Work closely with key stakeholders (product managers, engineers, data scientists, etc.) to understand business requirements and translate them into AI-driven solutions.
  • Present AI use cases, architectures, and solutions to technical and non-technical stakeholders.
  1. AI Governance and Security:
  • Ensure that AI implementations comply with data privacy regulations, security standards, and ethical guidelines.
  • Implement governance frameworks to manage model lifecycle, auditing, and compliance.

Qualifications:

  • Proven experience working with generative AI technologies like ChatGPT, GPT models, or other LLMs.
  • Strong experience in AI/ML model development, deployment, and API integration with applications.
  • Proficiency in programming languages such as Python, JavaScript, or similar.
  • Experience with cloud platforms (Google Cloud) for AI deployment and integration.
  • Familiarity with DevOps practices, CI/CD pipelines, and SRE (Site Reliability Engineering) concepts.
  • Strong problem-solving skills and ability to translate business challenges into AI-driven solutions.

Preferred Qualifications:

  • Experience in working with OpenAI APIs, fine-tuning GPT models, and building custom AI solutions.


Client : Healthcare

             

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