Architect, AI Cloud Solutions

• Develop and drive the AI vision and strategy in alignment with business goals.
• Identify opportunities for AI adoption and recommend innovative solutions.
• Design scalable AI architectures utilizing state-of-the-art technologies.
• Lead the selection and integration of AI frameworks and platforms.
• Oversee the end-to-end AI solution lifecycle, from data ingestion to model deployment.
• Collaborate with cross-functional teams including data scientists, engineers, and product managers.
• Stay abreast of the latest developments in AI technologies and frameworks.
• Evaluate and integrate new tools and methodologies to enhance AI capabilities.
• Ensure AI solutions comply with data security standards and privacy regulations.
• Work closely with security teams to integrate AI systems securely within the enterprise infrastructure.
• Monitor AI system performance and implement optimizations for scalability and efficiency.
• Utilize tools like Prometheus and Grafana for system monitoring.
• Conduct regular audits and evaluations of AI systems to identify areas for improvement.

Qualifications

• Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, or a related field.
• Minimum of 7 years of experience, with 3 years of experience in AI roles, 3 years in an architectural or leadership position, 5 years of experience in cloud services. Must have demonstrated experience in integrating AI technologies into business applications to solve real-world problems.
• Proficiency with cloud AI services like Azure OpenAI, AWS SageMaker, or Google Cloud AI Platform, Experience building AI Agents using AI Agentic frameworks like (Semantic Kernel, LangChain),
• Strong programming skills in Python, C# or Java. Knowledge of building multimodal agents using Autogen and developing AI-powered solutions using low code development tools such as Power Platform and Copilot Studio, Experience implementing secure AI Solutions.
• Global experience preferred.