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Strong employer brand and metro Hyderabad increase applicant density, while seniority and niche AI focus moderate it.
Core LLM and Python skills transfer across industries, but AI adoption experience slightly favors regulated biotech.
Explicit 8-12 years plus mandatory LLM, Python and API experience make screening highly strict.
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Lead enterprise-wide adoption of AI technologies such as ChatGPT, Codex, and AI agents by building reusable AI solutions and automations.
Conduct technical workshops, mentor teams on AI best practices, and collaborate with Product and Engineering teams to scale AI usage.
Evaluate emerging AI technologies, develop proofs of concept, and measure AI adoption and productivity improvements.
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.
8 to 12 years of software engineering, AI, or machine learning experience.
Strong proficiency in Python programming and REST API development.
Hands-on experience with LLMs, ChatGPT, GitHub Copilot, Codex, Claude, or similar AI tools.
Experienced in building AI-powered applications and workflow automation with practical knowledge of prompt engineering.
Capable of technical mentoring and effective stakeholder management within cross-functional teams.
Skilled in enabling technology adoption through training or community engagement, preferably with familiarity in regulated industries such as biotechnology or pharmaceuticals.