Python AI Developer / Architect

About the Role

We are seeking a seasoned Python AI Developer / Architect with extensive practical experience in Python programming, Kubernetes / OpenShift Container Platform, and Microsoft Azure Logic Apps. The incumbent will be responsible for independently designing, crafting, and delivering comprehensive technology solutions that incorporate AI functionalities, cloud infrastructures, and enterprise software integration.

Key Responsibilities

• Design and develop complete solutions utilizing Python as the core programming language.
• Build, deploy, and maintain applications and services within Kubernetes / OpenShift environments.
• Create and implement workflows and integrations by leveraging Azure Logic Apps.
• Research and assimilate Artificial Intelligence capabilities into business applications and workflows.
• Develop and maintain microservices architectures along with API connectivity.
• Engage with AWS cloud technologies and participate in cloud-based solution initiatives.
• Collaborate with diverse teams to capture requirements and deliver scalable technical outputs.
• Independently diagnose and resolve complex technical challenges.
• Drive technical deliverables from initial design through deployment and sustained support.
• Continuously update skills and adapt to advancing technologies and shifting business needs.

Mandatory Technical Expertise

• Robust, hands-on Python development experience.
• Expertise in managing and working with Kubernetes / OpenShift Container Platform (OCP).
• Practical experience deploying solutions using Microsoft Azure Logic Apps.
• Capability to independently design, build, and implement full lifecycle technical solutions.

Preferred Qualifications

• Fundamental knowledge of AWS cloud services.
• Familiarity with .NET technology stack.
• Understanding of microservices design and distributed system principles.
• Experience or exposure to Artificial Intelligence, Generative AI, and AI-enabled solutions.
• Knowledge of UiPath or Robotic Process Automation (RPA) technologies.
• Acquaintance with broader cloud tools, integration platforms, and enterprise architecture frameworks.

Core Competencies

• Strong analytical thinking and problem-solving skills.
• A proactive, hands-on approach to unfamiliar and ambiguous challenges.
• Effective communication and collaboration with stakeholders.
• Demonstrated accountability and ownership of end-to-end technical delivery.
• Ability to work autonomously with minimal oversight.
• Willingness to continuously acquire new technological knowledge.
• Alignment with organizational values emphasizing accountability, continuous upskilling, and adaptability.