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Senior, niche AI architect role reduces competition despite metro location and AI demand.
AI architecture skills transferable, but senior leadership and regulated-environment preference increase domain sensitivity.
Explicit 12–16 years and mandatory AI leadership make filters stringent.
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Own and execute the AI strategy and roadmap for Eurofins Genomics, targeting measurable improvements in software engineering productivity, time-to-market, and total cost of IT ownership.
Drive engineering productivity transformation by implementing AI-assisted software development lifecycle practices across platforms like LIMS, eCommerce, and ERP.
Architect, prototype, and govern AI solutions including Generative AI, agentic AI, and classical ML; mentor engineering teams to increase AI capability and ensure responsible AI adoption.
12–16 years experience in software/data engineering, architecture, technology leadership, or digital transformation, including 3+ years leading AI, ML or data-science initiatives.
Proven track record of delivering enterprise-scale AI solutions to production environments.
Deep expertise in Generative AI, LLMs, AI-assisted software development, and cloud-native solution architecture.
Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or equivalent; Location: Bengaluru, hybrid work (3 days onsite).
Experienced individual contributor with strong technical depth to influence and lead AI adoption without direct reports.
Skilled in translating business objectives into AI-enabled software engineering improvements with measurable productivity outcomes.
Comfortable working with advanced AI platforms (e.g., OpenAI GPT, Anthropic Claude), cloud services (Azure), and modern SDLC/DevOps practices in a regulated or life sciences environment is a plus.