AI Software Architect

Role: AI Architect
Location: Bengaluru Karnataka India (Hybrid - 3 Days WFO)
Individual contributor (no direct reports)

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 teams AI capability through hands-on mentorship.

What youll 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 teams 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.

What youll do

• Define and execute the AI roadmap and translate business objectives into a concrete delivery plan with focus on reducing the Total cost of ownership of IT to Business.
• Establish AI governance establishing productivity metrics track adoption and report measurable improvements in efficiency quality and delivery performance.
• Architect and prototype AI solutions GenAI agentic AI RAG and classical ML and set the patterns guardrails and evaluation standards teams build on.
• Drive adoption of AI-powered automation across the software delivery lifecycle and scientific workflows by coaching and enabling teams to think AI first in their daily work.
• Prototype and scale AI solutions by evaluating emerging AI technologies developing Proof of concept and demonstrating successful AI use cases.
• Partner with development leaders product owners architects and business stakeholders to deliver capabilities end-to-end.
• Represent Genomics in Eurofins organisation-wide AI programme contributing to learning from and influencing the group roadmap.
• Present roadmaps business cases and value-realisation metrics to senior leadership.

What were looking for

Must have

• 1216 years overall experience in software/data engineering Architecture Technology Leadership and Digital Transformation roles with 3 years leading AI ML or data-science initiatives.
• A track record delivering enterprise-scale AI solutions to production not just pilots.
• Deep current expertise in Generative AI and LLMs and AI assisted software development practices.
• Strong solution-architecture skills on cloud-native platforms plus ML fundamentals prompt engineering and evaluation techniques.
• Hands-on experience with AI platforms such as GPT Claude Gemini GitHub Copilot Cursor or similar tools.
• Strong understanding of modern Software Development Lifecycle (SDLC) DevOps Cloud and Engineering Productivity metrics.
• Excellent communication and stakeholder management skills with the ability to influence teams without direct authority.
• A bachelors or masters degree in Computer Science AI Data Science or equivalent practical experience from institute of pedigree.

Nice to have

• Knowledge graphs and vector databases at scale.
• LLMOps / MLOps AI cost-optimisation (FinOps for AI) and production observability.
• Exposure to regulated or life-sciences environments (GxP data privacy LIMS) is a small plus but genomics domain knowledge is not required.

Tech youll work with

• AI platforms:  OpenAI GPT Anthropic Claude Google Gemini Azure OpenAI Service
• AI frameworks: LangChain LangGraph Semantic Kernel CrewAI
• Knowledge and RAG : Azure AI Search ChromaDB FAISS Pinecone Vector Embeddings
• Data: SQL Server MongoDB vector databases
• Cloud & DevOps: Azure Azure DevOps GitHub CI/CD
• Observability: Prompt Flow LangSmith OpenTelemetry

Success Measures

• Increased AI adoption across engineering teams.
• Measurable improvement in developer productivity and engineering throughput.
• Reduced software delivery cycle times.
• Improved code quality and test automation coverage.
• Successful rollout of AI awareness and enablement programs.
• Demonstrated business value and ROI from AI initiatives.
• Establishment of sustainable AI engineering practices and governance.

Qualifications :

Required Qualifications:
Bachelors in Engineering or Masters in Computer Science or equivalent

Additional Information :

Personal Skills:

• Customer-service oriented with a problem-solving attitude;
• Strong attention to detail and accuracy is essential;
• Entrepreneurial thinking and flexibility to change;
• Very good English communication skills (concise writing and orally convincing);
• Structured and clear writing skills;
• Proven ability to solve complex business problems using analytical reasoning;
• Demonstrated positive attitude self-motivated team player.

PERFORMANCE APPRAISAL CRITERIA: Eurofins has a strong focus on Performance Management system. This includes quarterly calibrations half-yearly reviews and annual reviews. The KPIs shall be set and may vary slightly between projects. These will be clearly communicated documented during the first 30 days of your joining.

Remote Work :

No

Employment Type :

Full-time