Role & responsibilities
1) Design and Development of AI Agents: Create and implement AI agents capable of perceiving their environment, making decisions, and executing actions with minimal human intervention. This involves developing algorithms and models that enable agents to learn and adapt over time.
2) Enterprise Orchestration and Management: Oversee the integration and coordination of AI agents within the organization's existing systems and processes. Ensure that AI solutions align with business objectives and enhance operational efficiency.
3) Governance and Compliance: Establish and enforce governance frameworks to ensure AI agents operate within defined policies and regulations. Monitor compliance and implement best practices to maintain system integrity and security.
4) Collaboration with Cross-Functional Teams: Work closely with data scientists, software engineers, and business stakeholders to align AI solutions with organizational goals and user needs.
5) Implementation of Machine Learning Models: Develop and deploy machine learning models that enable AI agents to process data, recognize patterns, and make informed decisions.
6) Monitoring and Maintenance: Oversee the performance of AI agents, ensuring they operate effectively and efficiently. This includes troubleshooting issues, optimizing performance, and updating systems as needed.
Primary Skills:
If you are interested, please share me your updated resume along with below questionnaire.
For more details, please visit our website.
Keyskills: Agentic Ai Gen AI Open AI Python ML Data Science LangChain Enterprise Orchestration
Winwire Technologies India Pvt. Ltd. About WinWire: WinWire Technologies is a specialized IT solutions company focused on making information actionable for the enterprises. We help business and technology leaders achieve an 'on-the-move' business environment by leveraging pre-built collaborat...