Manager, Software Engineering
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Job Location:
Monthly Salary:
Posted on:
22 days ago
Vacancies:
1 Vacancy
Job Summary
Your Career
As the Senior AI Engineering Manager you will lead a talented team of 8 AI/ML engineers and data scientists based in India. You will be a critical leader within our global AI Enterprise Team responsible for driving the technical vision execution and delivery of AI-powered solutions across Palo Alto Networks.
This is a hands-on leadership role where you will blend your deep technical expertise with your passion for mentoring and growing high-performing teams. You will partner closely with product managers business stakeholders and other engineering leaders to define the roadmap and deliver transformative AI initiatives. Your leadership will directly contribute to scaling our AI capabilities and embedding intelligence into the core of our business operations.
Your Impact
Lead and Mentor: Manage and grow a team of 8 direct reports fostering a culture of innovation collaboration and engineering excellence. Provide technical guidance career development and mentorship.
Drive Technical Strategy: Define the technical roadmap and architecture for enterprise AI solutions ensuring they are scalable reliable and aligned with business goals.
Execute and Deliver: Oversee the end-to-end lifecycle of AI/ML projects from ideation and model development to deployment and operational support in a fast-paced agile environment.
Collaborate and Influence: Work cross-functionally with teams across IT and the business to identify opportunities for AI gather requirements and ensure successful adoption of your teams solutions.
Champion Best Practices: Establish and promote best practices for MLOps data governance model validation and the ethical use of AI.
Qualifications :
Your Experience
10 years of experience in software engineering with at least 5 years in the AI/ML space.
3 years of formal people management experience with a proven track record of building and leading high-performing engineering teams.
Strong technical background in machine learning including experience with deep learning NLP predictive modeling and data science.
Proficiency with common AI/ML frameworks and libraries (e.g. TensorFlow PyTorch Scikit-learn) and programming languages (e.g. Python).
Experience with MLOps principles and tools for building and deploying models at scale (e.g. Kubeflow MLflow Vertex AI or similar platforms).
Familiarity with cloud platforms (GCP AWS or Azure) and data engineering technologies (e.g. BigQuery Spark Kafka).
Excellent communication and interpersonal skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.
Bachelors or Masters degree in Computer Science Engineering or a related technical field
Additional Information :
The Team
The AI Enterprise Team is a center of excellence within IT dedicated to harnessing the power of artificial intelligence and machine learning to revolutionize our internal operations and enhance business outcomes. We build deploy and manage intelligent systems that automate processes provide predictive insights and create a more efficient secure and data-driven organization. We are a dynamic forward-thinking team that thrives on solving complex challenges and delivering high-impact solutions.
Our Commitment
Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant accomplish our mission without diverse teams innovating together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need please contact us at .
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace and all qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex (including pregnancy) sexual orientation or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Hospitality Experience
- Go
- Management Experience
- React
- Redux
- Node.js
- AWS
- Mechanical Engineering
- Team Management
- Leadership Experience
- Mentoring
- Distributed Systems
About Company
Our enterprise security platform detects and prevents known and unknown threats while safely enabling an increasingly complex and rapidly growing number of applications. Come be part of the team that redefined the firewall industry and is now the fastest-growing security company in hi ... View more
