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Strong Tier-1 brand plus mid-level role increases applicants, but niche LLM/MLOps skills limit density.
Core ML/AI and MLOps skills transfer across industries, but healthcare compliance and enterprise scale raise specificity.
Many mandatory AI/ML, cloud, MLOps, and leadership requirements create high shortlisting strictness.
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Lead design, development, and integration of AI-powered features including Generative AI, LLMs, and intelligent automation within enterprise applications.
Oversee end-to-end delivery of complex software projects, ensuring scalable, secure, and reliable AI and software solutions in production.
Mentor engineering teams on AI-enabled development, drive AI governance and architecture standards, and partner with stakeholders to optimize AI-driven productivity and decision-making.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
5+ years of professional software development experience.
Hands-on experience with Generative AI technologies (LLMs) and cloud AI platforms (e.g., Azure AI, OpenAI).
Experience with AI-powered application development, Retrieval-Augmented Generation (RAG), vector databases, AI model deployment, and responsible AI practices.
Experienced in leading AI/ML software engineering initiatives with strong technical skills in microservices, APIs, and cloud platforms.
Proficient in AI model evaluation, prompt engineering, and integrating AI services into enterprise systems, indicating strong strategic technical expertise.
Demonstrates ability to drive AI governance, mentor teams, and align AI solutions with business objectives in complex production environments.