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AI Software Architect
Eurofins
Bengaluru, IND
Full-time
Senior · 12+ years experience
Hybrid
Discovered 3 weeks ago
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About Eurofins Genomics
Eurofins Genomics is an internationally leading provider of DNA sequencing, genotyping, DNA synthesis and bioinformatics services for the pharma, diagnostics, food, agriculture, biotech and research markets, with facilities across Europe, the US and Asia.
Eurofins Genomics is making a AI transformation— and we are looking for the person who will lead it. As AI Lead / Architect , you will own the AI strategy and architecture for an entire global business line, with a clear mandate: lift software-engineering productivity, shorten time-to-market for new services, and meaningfully reduce the total cost of ownership of IT to Business.
You will set the technical direction, prove it with working systems, and influence Eurofins’ group-wide AI roadmap. This is an individual-contributor role with no direct reports : you lead through technical depth and influence, not a reporting line. The centre of gravity is software engineering — applying AI across the software delivery lifecycle and our product platforms (LIMS, eCommerce, ERP) with a roadmap to influence deep genomic science. You will architect and prototype, set the patterns others build on, and lift the wider team’s AI capability through hands-on mentorship.
What you’ll own
The AI strategy and roadmap for the Genomics business, aligned to measurable productivity, time-to-market and TCO outcomes.
Engineering Productivity Transformation to establish and scale AI-assisted software engineering (ADLC) practices to improve efficiency, delivery velocity, and software quality across Development continuum.
Raising the engineering team’s AI capability — through reusable patterns, hands-on mentorship and leading by example; by influence, not a reporting line.
AI governance, security, compliance and responsible-AI practice — Define standards, guardrails, and KPIs to ensure responsible AI adoption and measurable business value
A prioritised portfolio of AI use cases , chosen for business value and feasibility, taken from idea to production across the Software Engineering, Architecture, Knowledge Management and Operations.
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