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Tier-1 brand, metro location, and in-demand GenAI skills increase competitive applicant density.
GenAI engineering skills transfer across industries, but LLM and platform experience adds domain specificity.
Mandatory GenAI, LLM, cloud and Python skills raise shortlisting rigidity despite no years requirement.
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Lead architecture and end-to-end delivery of Generative AI solutions including LLMs, RAG architecture, prompt engineering, and fine-tuning.
Design scalable, secure, and cost-optimized AI platforms using cloud-native GenAI services (Vertex AI, Azure OpenAI, AWS Bedrock).
Provide technical leadership including code reviews, mentorship on AI/ML and MLOps best practices, and ensure Responsible AI governance, security, and compliance standards.
Proven experience in project management, preferably in AI or technology-driven environments.
Strong understanding of Generative AI technologies and their applications.
Proficiency in Python and experience with at least one cloud platform: Azure, AWS, or GCP.
Language proficiency in English at Upper Intermediate (B2) level.
Experienced in leading AI/ML solution design and delivery with hands-on technical expertise in large language models and generative AI.
Capable of managing technical teams and collaborating with business stakeholders to translate requirements into scalable AI solutions.
Familiar with AI governance, security, compliance, and emerging GenAI tools and frameworks in a hybrid work environment.