Overview
Remote
Hybrid
Depends on Experience
Full Time
No Travel Required
Skills
Artificial Intelligence
API
Generative Artificial Intelligence (AI)
Flask
Agentic AI
Python
Java
Job Details
- Lead end-to-end solutioning of AI agents and agentic workflows, including design, development, testing, and deployment.
- Build business cases, conduct process reviews, perform data analysis, and document business requirements.
- Apply prompt and context engineering techniques to optimize AI model performance.
- Work with cutting edge Generative AI models such as OpenAI (ChatGPT), Anthropic, Microsoft, and Meta (LLaMA).
- Develop and deploy AI solutions using Python, Java, and frameworks like Flask, integrating with APIs and App Engine.
- Implement and manage CI/CD pipelines for efficient and secure deployment.
- Ensure secure handling of API keys, passwords, and tokens across environments.
- Use Docker for containerization and GitHub for version control and collaborative development.
- Conduct testing of AI agents and workflows to ensure reliability, accuracy, and performance.
- Collaborate with cross-functional teams to identify business problems and apply AI-driven solutions.
- Mentor Operations staff on AI solutioning, prompt design, and best practices.
- Drive AI adoption across the Operations Practice through enablement sessions, bootcamps, and strategic initiatives.
- Execute rapid response AI projects with a focus on delivery and measurable business impact.
- Act as a subject matter expert and internal champion for AI capabilities.
- Skills: Agentic AI, API integration & App Engine, Python, Java, PyCharm, Flask
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.