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High due to strong employer brand, mid-level (5+ years) role, metro location, and broad cloud/GenAI requirements.
High because specialized GenAI, cloud integration, and governance experience reduces cross-industry transferability.
High because 5+ years is required along with specific cloud, GenAI, and AWS service experience.
Lead design and delivery of Generative AI applications including prompt engineering, fine-tuning, RAG, and orchestration of LLM workflows.
Own the technical roadmap, architecture decisions, and execution of GenAI projects using cloud-native AI services across the enterprise.
Mentor engineering teams, ensure scalable reusable components, and oversee AI model governance and compliance.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Minimum 5 years of development experience focused on cloud computing.
Strong knowledge and hands-on experience with AWS, Azure, or Google Cloud including key services like EC2, S3, Lambda, API Gateway.
Proficient in programming languages such as Python, Java, or Node.js.
Experienced in leading enterprise Generative AI / LLM projects with a deep understanding of cloud AI service integration and model governance.
Strong operator with ability to independently manage multiple cloud development projects and deliver scalable, secure solutions.
Skilled in mentoring and guiding teams, and effectively communicating technical strategies to both technical and non-technical stakeholders.