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Global brand plus broad GenAI skillset and popular AI title increases applicant competition.
Core GenAI and Python skills are highly transferable across industries.
Specialized GenAI skills and multi-language DevSecOps requirements make filtering moderately strict.
Design, develop, and implement AI solutions using Python, generative AI, and prompt engineering to improve business and IT processes.
Evaluate complex business challenges to create AI-enabled workflows with appropriate models and architectures for measurable productivity gains.
Ensure AI solutions are reliable, scalable, secure, and compliant with enterprise standards and governance.
Proficient hands-on experience with Python, prompt engineering, and generative AI technologies.
Knowledge of software development methodologies, DevSecOps processes, and experience with Java & Node.js programming languages.
Experience with AI frameworks/tools (ADK advantage) and knowledge of context engineering, RAG, MCP, agent-based systems is desirable.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in delivering AI-powered solutions in real-world business settings, able to independently prioritize and manage tasks under pressure.
Comfortable collaborating across regions in a multinational environment with advanced English communication skills.
Familiar with version control systems like Git, project management tools, and has a strategic approach to selecting AI models and architectures.