Senior AI Solution Engineer at NNE
Does the idea of designing AI solutions that make pharma facilities smarter, safer, and more sustainable excite you? Are you ready to lead the way in applying GenAI and machine learning to real-world engineering, construction, and validation challenges? Then please continue reading!
What do we do at NNE?
We are experts in end-to-end pharma engineering, and we design and build pharma facilities that are essential for millions of patients all over the world. Our success is built on our relationships, both with our colleagues and our customers. If you are passionate about working for a noble cause on projects shaping the future of sustainable and intelligent pharma facilities, NNE is the place to be.
About the role
We are looking for an experienced Senior AI Scientist to join our Department: Project Systems and partner closely with engineering, CQV, quality, and project controls teams. We are currently a team of skilled Individuals with peers and Lead Data Scientist in Denmark and India. You will lead the design and deployment of production-grade AI and automation-unlocking smarter workflows across design, construction, commissioning, qualification and validation (CQV), operations, and asset management. You'll own the full lifecycle from opportunity framing to impact tracking, with a strong emphasis on GxP compliance, data integrity, and scalable architectures.
Location: Bengaluru (IN)
Experience: 5+ years
How you might spend your days
As a Senior AI Scientist, you'll be:
Leading AI-first solutions: Designing agentic workflows and LLM-powered assistants for engineering, CQV, and quality use cases (e.g., automated documentation, deviation analysis, predictive maintenance, specification assistants).
Ensuring compliance: Embedding GxP/CSV controls (21 CFR Part 11, Annex 11), model risk management, and ALCOA+ data integrity into AI solutions.
Driving adoption: Establishing enablement frameworks-training, playbooks, prompt libraries, evaluation harnesses, safety/guardrails-and mentoring AI practitioners.
Partnering for impact: Working with project directors, engineering managers, and quality leads to prioritise high-ROI use cases; defining KPIs and measuring business outcomes.
Owning the product mindset: Road mapping, vendor evaluation, make/buy decisions, and evolving standards for reusable AI components across projects.
Who you are
Qualifications
Core Requirements
MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.