Location : Delhi / Remote

About Premas Life Sciences :

Premas Life Sciences is a leading scientific solutions company delivering advanced capabilities across Genomics, Proteomics, Cell & Gene Therapy, Biopharma, Clinical Diagnostics, Multi-Omics, Automation and Research Workflows. We partner with global innovators to bring cutting-edge technologies to scientists, clinicians, biotech companies, and healthcare institutions across India.

As part of our enterprise-wide digital transformation, we are establishing a dedicated AI Centre of Excellence (CoE) function. This role is foundational to that initiative - and you will be the person who builds it.

Role Purpose :

The AI Transformation Lead will serve as the organisation's internal AI evangelist, architect of adoption frameworks, and hands-on trainer across all business functions. The role demands fluency across the full spectrum of contemporary AI - from Generative AI content platforms and no-code automation to emerging Agentic AI workflows - and the ability to translate complex technology into practical productivity gains for non-technical stakeholders.

This position offers rare early-career exposure to C-suite collaboration and enterprise AI strategy in one of India's most dynamic Life Sciences organisations.

Key Responsibilities :

The candidate is expected to demonstrate working familiarity or hands-on exposure across the following AI categories :

AI Category :

Representative Tools & Platforms :

- Generative AI - Text & Language : ChatGPT (GPT-4o), Claude, Google Gemini, Microsoft Copilot, Perplexity AI

- Generative AI - Visual & Creative : Canva AI, Adobe Firefly, DALL-E, Midjourney, Gamma

- Generative AI - Code & Development : GitHub Copilot, Cursor, Amazon CodeWhisperer, Replit AI

- Agentic AI - Autonomous Workflows : AutoGPT, CrewAI, LangGraph, Microsoft Copilot Studio, n8n AI Agents

- Workflow Automation (Low-Code) : Make (Integromat), Zapier, Power Automate, Notion AI, Monday AI

- AI-Powered Analytics & BI : Microsoft Copilot for Excel, Power BI Copilot, Tableau AI, Julius AI

- AI for Life Sciences & Research : Scite.ai, Elicit, SciSpace, BioRxiv AI Summarisers, ELN AI Integrations

- AI Governance & Security Tools : Securiti AI, Microsoft Purview, Prompt Shield, Anthropic Constitution AI

AI Training & Capability Building :

- Design and deliver structured AI training programmes ranging from foundational to advanced levels for cross-functional teams

- Build department-wise AI use-case libraries including prompt repositories, SOPs, cheat sheets, and productivity playbooks

- Train teams on the distinction and application of Generative AI workflows versus Agentic AI workflows

- Conduct periodic AI capability assessments and AI adoption clinics across departments

- Drive awareness and engagement initiatives to accelerate organisation-wide AI adoption

Agentic AI & Workflow Automation :

- Identify repetitive and process-heavy workflows suitable for AI-led automation

- Implement and maintain low-code/no-code automation pipelines using platforms such as Make, Zapier, Power Automate, and n8n

- Prototype AI Copilot Agents and multi-agent workflows for lead qualification, reporting, compliance review, and customer engagement

- Collaborate with ERP, IT, and business teams to integrate AI-enabled workflows into existing systems

- Support continuous optimisation of automation frameworks and operational efficiency

Generative AI Productivity & Business Enablement :

- Support teams in leveraging Generative AI for proposals, presentations, scientific content, marketing collateral, and business communications

- Establish organisation-wide prompt engineering standards and governance practices

- Assist leadership with AI-enabled market research, competitive intelligence, analytics, and strategic insights

- Evaluate emerging AI platforms relevant to Life Sciences, Biopharma, and Clinical Diagnostics

- Recommend scalable AI adoption opportunities aligned with business priorities

AI Governance & Responsible Use :

- Define and implement AI usage guidelines covering data privacy, confidentiality, intellectual property protection, and hallucination risk mitigation

- Ensure AI deployments align with applicable regulatory requirements and industry standards

- Maintain an AI Risk Register and periodically review AI tools in use across departments

- Promote ethical and responsible AI adoption aligned with organisational values and compliance requirements

Metrics, Reporting & Continuous Improvement :

- Define and track AI adoption metrics including active users, productivity improvements, time savings, and ROI

- Prepare monthly AI adoption dashboards and progress reports for leadership review

- Benchmark organisational AI maturity against industry standards and recommend enhancements

- Maintain and evolve a forward-looking AI roadmap aligned to strategic business goals

Must-Have Competencies :

- Strong interest and working knowledge of Generative AI, Agentic AI, and digital productivity platforms

- Ability to simplify complex technologies for non-technical stakeholders

- Hands-on exposure to AI productivity tools and automation workflows

- Excellent presentation, communication, and training delivery skills

- Structured thinking and process-oriented problem-solving mindset

- Strong ownership mindset with the ability to independently drive initiatives

- Ability to collaborate effectively across multiple functions and leadership levels

- High ethical standards with sensitivity toward responsible AI usage and data privacy

Good-to-Have Competencies :

- Exposure to Copilot Agents, CrewAI, LangGraph, Make, n8n, or automation frameworks

- Experience in AI-led analytics, dashboarding, or reporting tools

- Prior exposure to Life Sciences, Biotechnology, Diagnostics, or Healthcare domains

- Familiarity with AI governance, security, or compliance frameworks

- Experience conducting workshops, webinars, or capability-building programmes

Education & Experience :

- Essential : Bachelor's degree in Engineering, Biotechnology, Life Sciences, Computer Applications, Management, or related disciplines

- Preferred : Certifications or coursework in AI, Automation, Data Analytics, or Digital Transformation

- Experience : 0-3+ years of experience; strong AI portfolio and demonstrable capability will outweigh years of experience

Key Competencies :

- AI Adoption & Digital Transformation

- Generative AI & Prompt Engineering

- Agentic AI & Workflow Automation

- AI Training & Capability Building

- Cross-Functional Collaboration

- Stakeholder Management

- AI Governance & Responsible Usage

- Analytics & Productivity Optimisation

- Problem Solving & Structured Thinking

- Communication & Presentation Skills