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Senior Specialist, Data Science & Artificial Intelligence( Claude & Copilot)

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Design, configure and manage the lifecycle of secure low-code and AI productivity solutions

  • Build Copilot and Claude agents, RAG solutions, prompt workflows and integrations

  • Set technical standards, guardrails, monitoring and support models for responsible AI

  • Turn business needs into prioritized use cases, backlogs and delivery plans

  • Coach citizen developers, fusion teams and business stakeholders

From the employer’s posting
Own the design, configuration and lifecycle management of secure, scalable LCNC and AI productivity solutions
Build and operationalize copilot/Claude agents, Skills, RAG solutions, prompt workflows, integrations
Establish technical standards, guardrails, documentation, monitoring, and support models
Translate business needs into prioritized use cases, solution requirements, product backlogs, delivery plans
Provide technical consulting, coaching, and enablement for citizen developers, fusion teams, vendors, and business stakeholders

What you’ll bring

All qualifications

Core experience

  • Hands-on experience delivering enterprise LCNC, automation, or AI solutions in SaaS/PaaS environments.
  • Expertise in platforms such as Copilot Studio, Azure AI Foundry, Power Platform, Claude, or Amazon Quick Suite.
  • Strong knowledge of GenAI, LLMs, prompting, RAG, agents, APIs, data grounding, solution evaluation, and Python or similar scripting.
  • Experience with Microsoft 365, SharePoint, Dataverse, Power Automate, DevOps, CI/CD, and GitHub.

Preferred experience

  • Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or a related field; advanced degree preferred.
Qualification wording
Hands-on experience delivering enterprise LCNC, automation, or AI solutions in SaaS/PaaS environments.
Expertise in platforms such as Copilot Studio, Azure AI Foundry, Power Platform, Claude, or Amazon Quick Suite.
Strong knowledge of GenAI, LLMs, prompting, RAG, agents, APIs, data grounding, solution evaluation, and Python or similar scripting.
Experience with Microsoft 365, SharePoint, Dataverse, Power Automate, DevOps, CI/CD, and GitHub.
Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or a related field; advanced degree preferred.
Education & alternatives
Minimum Requirements - Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or a related field; advanced degree preferred. - Hands-on experience delivering enterprise LCNC, automation, or AI solutions in SaaS/PaaS environments.
Apply at Novartis

Posting record

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Status in our records
Live
First seen by us
Oct 4, 202640 days ago
Recorded sightings
96
Last seen by us
Nov 13, 2026
Employer says posted
Sep 28, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 40

Similar jobs usually come down between day 4 and day 77.

At Novartis, jobs usually come down by about day 25.

From 51 similar postings that came down, and 138 of Novartis’s. Coming down is not always a hire.

Novartis is hiring

52 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Azure
Where the posting names them
- Expertise in platforms such as Copilot Studio, Azure AI Foundry, Power Platform, Claude, or Amazon Quick Suite. - Strong knowledge of GenAI, LLMs, prompting, RAG, agents, APIs, data grounding, solution evaluation, and Python or similar scripting. - Experience with Microsoft 365, SharePoint, Dataverse, Power Automate, DevOps, CI/CD, and GitHub.
Job Description Summary As part of Novartis Agentic Fastrack, this role enables rapid, responsible AI adoption through low-code/no-code (LCNC) and AI productivity platforms. The Senior Specialist designs, delivers, and scales enterprise AI solutions using Copilot Studio, Azure AI Foundry, Anthropic Claude, Amazon Quick Suite, Power Platform, and other approved LCNC technologies. Job Description
- Hands-on experience delivering enterprise LCNC, automation, or AI solutions in SaaS/PaaS environments. - Expertise in platforms such as Copilot Studio, Azure AI Foundry, Power Platform, Claude, or Amazon Quick Suite. - Strong knowledge of GenAI, LLMs, prompting, RAG, agents, APIs, data grounding, solution evaluation, and Python or similar scripting.

Your next step

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Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

View original posting ↗

Job Description Summary

As part of Novartis Agentic Fastrack, this role enables rapid, responsible AI adoption through low-code/no-code (LCNC) and AI productivity platforms.
The Senior Specialist designs, delivers, and scales enterprise AI solutions using Copilot Studio, Azure AI Foundry, Anthropic Claude, Amazon Quick Suite, Power Platform, and other approved LCNC technologies.


 

Job Description

Major Accountabilities


  • Own the design, configuration and lifecycle management of secure, scalable LCNC and AI productivity solutions.
  • Build and operationalize copilot/Claude agents, Skills, RAG solutions, prompt workflows, integrations, and reusable components across approved enterprise platforms.
  • Establish technical standards, guardrails, documentation, monitoring, and support models for reliable and responsible AI adoption.
  • Partner with business, architecture, security, data privacy, quality, and platform teams to ensure compliance with enterprise, GxP, GDPR, IAM, and responsible AI requirements.
  • Translate business needs into prioritized use cases, solution requirements, product backlogs, delivery plans, and measurable outcomes.
  • Drive rapid prototyping and MVP delivery, evaluate user feedback and solution performance, and scale validated solutions into sustainable products.
  • Provide technical consulting, coaching, and enablement for citizen developers, fusion teams, vendors, and business stakeholders.

Minimum Requirements

  • Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or a related field; advanced degree preferred.
  • Hands-on experience delivering enterprise LCNC, automation, or AI solutions in SaaS/PaaS environments.
  • Expertise in platforms such as Copilot Studio, Azure AI Foundry, Power Platform, Claude, or Amazon Quick Suite.
  • Strong knowledge of GenAI, LLMs, prompting, RAG, agents, APIs, data grounding, solution evaluation, and Python or similar scripting.
  • Experience with Microsoft 365, SharePoint, Dataverse, Power Automate, DevOps, CI/CD, and GitHub.
  • Working knowledge of enterprise architecture, IAM, security, privacy, responsible AI, and regulated-environment controls.
  • Strong agile delivery, analytical, stakeholder management, and communication skills in global teams.
  • Copilot and/or Claude certification preferred; fluent written and spoken English required.

Why Novartis?

Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us!
Learn more here:

https://www.novartis.com/about/strategy/people-and-culture

Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here:
https://talentnetwork.novartis.com/network



 

Skills Desired

Anthropic Claude AI, Microsoft Copilot
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Location & working pattern

Hyderabad (Office)

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Work authorization
- Drive rapid prototyping and MVP delivery, evaluate user feedback and solution performance, and scale validated solutions into sustainable products. - Provide technical consulting, coaching, and enablement for citizen developers, fusion teams, vendors, and business stakeholders. Minimum Requirements

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