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Job Description
Structured overview of role & requirementsAbout This Role
Lead design and implementation of Generative AI applications including prompt engineering, fine-tuning, RAG, and LLM workflow orchestration.
Own technical roadmap, architecture, and delivery of GenAI projects, integrating cloud-native AI services and open-source models.
Mentor engineering teams, ensure model governance, build reusable APIs and tools, and collaborate across data science and cloud engineering disciplines.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Minimum 5 years of development experience with a focus on cloud computing.
Strong knowledge of AWS, Azure, or Google Cloud services including compute, storage, networking, security.
Proficiency in programming languages like Python, Java, or Node.js; experience with AWS core services (EC2, Lambda, S3, etc.).
Ideal Candidate Profile
Experienced in leading cross-functional teams delivering scalable AI/ML cloud solutions and managing enterprise-grade technical roadmaps.
Strong expertise working with generative AI models and cloud-native AI platforms demonstrating hands-on architecture and delivery ownership.
Operates well in fast-paced, dynamic environments managing multiple projects with strong problem-solving and collaboration across AI, data, and cloud engineering teams.