Associate Director, AI Engineering Manager at Novartis

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

22 Sep, 26

Salary

0.0

Posted On

24 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

People Management, AI Engineering, MLOps, AgentOps, Solution Design, Computer Science, Computer Vision, Data Science, Algorithms, Computer Programming, R&D, Waterfall Model, AI Governance, Technical Design, Lifecycle Management, Performance Optimization

Industry

Pharmaceutical Manufacturing

Description

Job Description Summary As Associate Director, BR Data & Digital Software & Workflows AI Engineering Manager, you will lead a team of internal and external AI engineers to deliver initiative aligned production grade AI solutions (agents, models), ensuring reliable, scalable, secure, and high quality outcomes. The role ensures a strong execution discipline, modern MLOps and AgentOps practices, and alignment with enterprise architecture, security, compliance, and AI governance, while building a high performing team that rapidly delivers measurable business value. Job Description Purpose of the Role As Associate Director, BR Data & Digital Software & Workflows AI Engineering Manager, you will lead a team of internal and external AI engineers to deliver initiative‑aligned production‑grade AI solutions (agents, models), ensuring reliable, scalable, secure, and high‑quality outcomes. The role ensures a strong execution discipline, modern MLOps and AgentOps practices, and alignment with enterprise architecture, security, compliance, and AI governance, while building a high‑performing team that rapidly delivers measurable business value. Major Responsibilities Build, lead, and develop a high‑performing team of internal and external AI engineers by setting clear priorities, cultivating skills, and ensuring consistent excellence in building, scaling, releasing, and sustaining AI solutions, including long‑term quality and operational ownership. Partner closely across BR Data & Digital as well as corporate functions to collaborate and align AI engineering execution with organizational objectives and initiative timelines. Translate use‑case, software, and initiative requirements into robust AI technical designs and implementation plans, including integration and embedding of AI solutions into existing software applications and workflows. Manage effective, predictable, and high-quality engineering delivery of AI solutions and components across time‑bound initiatives, ensuring alignment with enterprise platforms, architectural standards, compliance, and AI governance requirements. Oversee deployment, monitoring, and lifecycle management of AI solutions, including performance optimization, cost optimization, and operational readiness. Foster a “team before self” culture rooted in urgency, clarity, trust, and shared ownership. What you will bring to the role You are passionate about and experienced in leading and inspiring people and helping them reach their potential. You have an intrinsic drive to transform scientific research with AI by overseeing and elevating AI solution delivery excellence for a broad portfolio. You thrive on working collaboratively in a complex life science environment. You have: Expertise and experience in people leadership with demonstrated ability to set direction, align teams, develop talent, and continuously improve productivity. Excellent skills in communicating and translating complex AI technical concepts for varied audiences. Proven experience in building strong relationships across organizational and divisional boundaries. Deep expertise in architecting and implementing AI agents and models using modern engineering practices, and in integrating AI components into production applications and workflows. Experience with deployment, monitoring, automation, and lifecycle practices for AI solutions, including performance optimization, cost management, and operational readiness as well as governance and compliance. In addition, you bring many of the following capabilities and the drive to grow into the rest: Ability to create cultures of empowerment, learning, and mutual support. Creativity and courage to challenge the status quo, encourage innovation, and take smart risks. Skills Desired Algorithms, Computer Programming, Computer Science, Computer Vision, Data Science, People Management, R&D (Research And Development), Solution Design, Waterfall Model Improving the lives of people living with disease takes more than innovative science. It takes a focus on the needs of people and a community committed to meeting them. It takes a team of people like you. Working together. Learning together. Thriving together. Discover how you can join us in changing people’s lives. Novartis is aware of employment scams which make false use of our company name or leader’s names or recruiter’s names to defraud job seekers. Novartis does not make job offers without interview and never asks candidates for money. If you have encountered a job posting or been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond, send money or personal information. Novartis is not responsible for any claims, losses, damages, or expenses resulting from scams. In the context of China Cross-Border Data Transfer (CBDT) policy, if you need to apply for a position in China, please go to the local Recruiting System TaleNov .

Responsibilities

Lead a team of internal and external AI engineers to deliver production-grade AI solutions, agents, and models. Ensure alignment with enterprise architecture, security, and AI governance while managing the full lifecycle from design to deployment.