Back
Metro Bengaluru role requiring sought-after AI/LLM skills but senior, specialized profile limits broad applicant pool.
Strong ML/AI architecture skills are transferable, though regulated life-sciences exposure is a beneficial differentiator.
Explicit 12–16 years plus 3+ years AI leadership and specific platform and governance requirements enforce strict filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own and execute the AI strategy and roadmap for the Genomics business focusing on measurable improvements in productivity, time-to-market, and total cost of ownership (TCO).
Architect, prototype, and drive adoption of AI-assisted software engineering practices and AI solutions across software delivery lifecycle and scientific workflows.
Define AI governance, security, compliance, establish standards and KPIs, and lead hands-on mentorship to elevate team AI capabilities without direct reports.
12-16 years in software/data engineering, architecture, technology leadership, or digital transformation roles with 3+ years leading AI/ML/data science initiatives.
Proven track record delivering enterprise-scale AI solutions to production, with deep expertise in Generative AI and AI-assisted software development.
Bachelor's or Master's degree in Computer Science, AI, Data Science, or equivalent practical experience from a reputed institute.
Location: Bengaluru, India with hybrid work model (3 days WFO).
Experienced individual contributor comfortable leading through technical depth and influence without direct reports.
Strong cloud-native solution architecture skills combined with hands-on expertise in AI platforms (e.g., OpenAI GPT, Claude) and modern software engineering practices.
Strategic thinker capable of partnering with leadership and cross-functional teams to translate business objectives into measurable AI impact and ROI.