GenAI Solution Tool Integration

Responsibilities

• AI Integration: Integrate pre-trained or custom GenAI models and APIs into enterprise platforms and applications.
• Tool Evaluation & Prototyping: Evaluate, experiment with, and integrate third-party AI platforms (like OpenAI, Azure, AWS), and develop rapid prototypes (PoCs) to showcase capabilities and gather feedback.
• Deployment & Operations: Manage deployment, monitoring, and performance tracking of AI services.
• Documentation: Create clear, concise documentation for AI models, integrations, and processes.
• Compliance & Ethics: Ensure compliance with security, privacy, and data governance standards for AI systems, embedding ethical AI practices in the development process.

Required Skills

• Proficiency in programming languages such as Python, JavaScript, or Java, with experience using AI/ML frameworks/libraries (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex).
• Strong understanding of API design and integration using REST and SOAP web services.
• Experience with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP) for deploying and managing AI applications.
• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.
• Understanding of Agile principles and practices, including Scrum and Kanban.
• Excellent problem-solving, analytical, and critical-thinking skills.
• Strong communication and collaboration skills, with the ability to articulate complex technical concepts to non-technical stakeholders.