Senior AI Solution Engineer

5 - 9 years

14 - 19 Lacs

Posted:12 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Weare 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 withpeers and Lead Data Scientist in Denmark and India. You will lead the designand deployment of production-grade AI and automation unlocking smarterworkflows across design, construction, commissioning, qualification andvalidation (CQV), operations, and asset management. you'll own the fulllifecycle from opportunity framing to impact tracking, with a strong emphasison

GxP compliance, data integrity, and scalablearchitectures.

As a Senior AI Scientist, you'll be:

Leading AI-first solutions:

Designing agentic workflows and LLM-powe'red assistants for engineering, CQV, and quality use cases (eg, 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.

Core Requirements

  • 3+ years in applied ML/AI; 1+ years hands-on with LLMs/GenAI in production.
  • Strong Python (FastAPI, Pydantic), SQL, and modern ML stack (PyTorch/TensorFlow, scikit-learn).
  • Proven track record of shipping AI systems with measurable impact.
  • Understanding of GxP/CSV, 21 CFR Part 11/Annex 11, access control, and data privacy.

    Cloud Experience

  • Minimum 2 years with a major cloud vendor (Azure, GCP, or AWS).
  • Bonus: Azure Cloud AI services and Cloud Solution Architecture.

Data Solutions

  • Mandatory: SQL and relational databases (PostgreSQL, SQL Server, MySQL).
  • Bonus: NoSQL (Cosmos DB, MongoDB), Redis, Microsoft Fabric.

    Vibe Coding

  • Bonus: Experience with Vibe Coding and asynchronous collaboration.

Nice to have

  • Domain experience in pharma engineering, CQV, manufacturing/quality, or EPCM.
  • Retrieval at scale (chunking strategies, hybrid search, re-ranking), knowledge graphs, and multi-agent orchestration.
  • Computer vision for construction/progress tracking or laboratory/production contexts.
  • MLOps / LLMOps
  • Nice to have: MLflow, LangChain/LlamaIndex, model registries, CI/CD, monitoring.

Why choose NNE

  • Vibrant, project-based work environment shaping intelligent, sustainable pharma facilities.
  • Collaboration- and innovation-based culture with true empowerment and flexibility.
  • A platform to industrialise AI responsibly at scale and with purpose

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Virum Capital Region

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