Associate Director, AI Engineering Manager

Posted 14 Days Ago
Be an Early Applicant
Hiring Remotely in Office, Machaze, Manica, MOZ
Remote
Expert/Leader
Biotech • Pharmaceutical
The Role
Lead and develop an AI engineering team to design, deploy, monitor, and sustain production-grade AI agents and models. Ensure MLOps/AgentOps best practices, alignment with enterprise architecture, security, compliance, and AI governance, while driving measurable business value across initiatives.
Summary Generated by Built In

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

Skills Required

  • Proven people leadership: set direction, align teams, develop talent, and improve productivity
  • Communicate and translate complex AI technical concepts for varied audiences
  • Build strong cross-organizational relationships to align AI engineering execution with objectives
  • Deep expertise architecting and implementing AI agents and models using modern engineering practices
  • Experience with deployment, monitoring, automation, lifecycle management, performance and cost optimization of AI solutions
  • Experience aligning AI solutions with enterprise architecture, security, compliance, and AI governance
  • Experience with MLOps and AgentOps practices
  • Ability to create cultures of empowerment, learning, and mutual support
  • Skills: Algorithms, Computer Programming, Computer Science, Computer Vision, Data Science, Solution Design, R&D, Waterfall Model

Novartis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Novartis and has not been reviewed or approved by Novartis.

  • Healthcare Strength Pay and benefits are described as a strong overall package, supported by medical, dental, and vision insurance alongside FSAs/HSAs and disability and life coverage. Mental-health support is reinforced through an employee assistance program with psychological support and a network of mental health first aiders.
  • Retirement Support Retirement support is positioned as a standout element, with an automatic company contribution plus dollar-for-dollar matching in the 401(k). Additional retirement funding is described through an age-based defined contribution program and access to an employee share purchase plan discount.
  • Parental & Family Support Family-related benefits are framed as robust, including a global minimum of paid parental leave for new parents following birth or adoption. Added supports include domestic partner coverage, dependent-care resources, and benefits such as adoption assistance and child/elder care options.

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The Company
HQ: Basel
110,000 Employees
Year Founded: 1996

What We Do

Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.

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