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Principal Machine Learning Engineer

Office - India - Bangalore Bagmane Tech Park

Live, first seen by us 19 days ago
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

Before you apply

Work authorization
Must already have the right to workPlease note that we will not sponsor applicants for work visas for this position

What you’ll work on

Full posting
  • Set architectural vision for AI-first enterprise applications spanning multiple teams

  • Lead architecture and delivery of the most complex cross-team systems

  • Establish reusable standards and reference architectures for AI systems

  • Drive AI-native engineering practices and development workflows

  • Mentor senior engineers and raise engineering standards

From the employer’s posting
Set architectural vision and technical direction for AI-first enterprise applications and platforms spanning multiple teams and business domains
Lead the architecture and delivery of the most complex cross-team systems
Establish reusable engineering standards, reference architectures, and shared capabilities for AI-first systems
Drive AI-native engineering practices and modern development workflows
Mentor senior engineers and technical leaders, raise engineering standards

What you’ll bring

All qualifications

Core experience

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent practical experience
  • Demonstrated experience setting architecture and technical direction across multiple services, applications, or engineering teams
  • 10+ years of software engineering experience with demonstrated technical leadership across complex, production-scale systems
  • Experience designing production AI systems involving LLM orchestration, agents, retrieval, tool use, evaluation, and human-in-the-loop workflows
  • Strong understanding of AI evaluation, guardrails, model and agent reliability, security, latency, cost, and production observability
  • Strong understanding of APIs, enterprise data, system integration, cloud-native architecture, security, reliability, and production operations

Preferred experience

  • Experience with RAG architectures, vector databases, embeddings, semantic search, retrieval, and context engineering
  • Experience with LangChain/LangGraph, MCP, A2A protocols, tool integration, and production agentic architectures
  • Experience establishing evaluation frameworks, LLM security controls, prompt injection defenses, and input/output validation
  • Experience with applied machine learning or data science, including model development and evaluation, experimentation, statistical analysis, forecasting, classification, or other predictive techniques
Qualification wording
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent practical experience
Demonstrated experience setting architecture and technical direction across multiple services, applications, or engineering teams
10+ years of software engineering experience with demonstrated technical leadership across complex, production-scale systems
Experience designing production AI systems involving LLM orchestration, agents, retrieval, tool use, evaluation, and human-in-the-loop workflows
Strong understanding of AI evaluation, guardrails, model and agent reliability, security, latency, cost, and production observability
Strong understanding of APIs, enterprise data, system integration, cloud-native architecture, security, reliability, and production operations
Experience with RAG architectures, vector databases, embeddings, semantic search, retrieval, and context engineering
Experience with LangChain/LangGraph, MCP, A2A protocols, tool integration, and production agentic architectures
Experience establishing evaluation frameworks, LLM security controls, prompt injection defenses, and input/output validation
Experience with applied machine learning or data science, including model development and evaluation, experimentation, statistical analysis, forecasting, classification, or other predictive techniques
Education & alternatives
Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent practical experience - 10+ years of software engineering experience with demonstrated technical leadership across complex, production-scale systems

About Palo Alto Networks

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life.

In the employer’s words · Read in context

Apply at Palo Alto Networks

Posting record

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Status in our records
Live
First seen by us
Oct 27, 202619 days ago
Recorded sightings
23
Last seen by us
Nov 15, 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 19

Similar jobs usually come down between day 8 and day 76.

At Palo Alto Networks, jobs usually come down by about day 40.

From 5,531 similar postings that came down, and 48 of Palo Alto Networks’s. Coming down is not always a hire.

Palo Alto Networks is hiring

36 open jobs

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

  • ML Engineer hiring is steady
  • Takes jobs down at a usual pace
  • 11% of open jobs were reposted
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
  • SQL
  • TypeScript
  • Docker
  • Kubernetes
  • React
  • Node.js
Where the posting names them
Preferred Experience - TypeScript, Node.js/NestJS, React, Python, and SQL - Experience with RAG architectures, vector databases, embeddings, semantic search, retrieval, and context engineering
- Experience with applied machine learning or data science, including model development and evaluation, experimentation, statistical analysis, forecasting, classification, or other predictive techniques - Experience with Docker, Kubernetes, event-driven systems, and modern cloud infrastructure - Experience using AI-native development environments such as Cursor, Claude Code, Windsurf, or similar tools in professional engineering workflows

Your next step

Complete your application on paloaltonetworks.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Has Palo Alto Networks posted this job before?

Yes. We’ve followed one other Principal Machine Learning Engineer job there since September 2026. It is still up.

  1. Santa ClaraStill up after 52 days, first seen Sep 24
  2. This jobUp 19 days so far, first seen Oct 27

About Palo Alto Networks

People
About 8,804 in 2024.Benefit plan filings (Form 5500)
Company
Listed as PANW.
H-1B visas
261 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 612, the most 1,081, and the latest week had 1,068.
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 ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Our Mission

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!

We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Summary

The Team

The IT Automation & AI Engineering team builds modern, AI-first enterprise applications and automation platforms that support multiple business functions across the company. We focus on scalable architecture, strong engineering fundamentals, and practical application of AI to drive measurable business impact. In this role, you will establish technical direction, architectural standards, and reusable AI-first engineering patterns that extend across the broader engineering organization.


Your Career

The IT Engineering team builds AI-first enterprise systems that power critical business workflows across the company. This role will focus on advancing high-impact initiatives while shaping the architecture and engineering practices used across a broader portfolio of applications.

We operate at the intersection of full-stack application development, cloud-native services, enterprise data, and applied AI. The role requires deep software engineering expertise combined with the ability to design scalable systems, apply emerging AI capabilities responsibly, and translate complex business problems into durable technical solutions.

At the Sr Staff level, you will set technical direction across multiple complex initiatives, define architectural standards and reusable AI-first engineering patterns, and influence how teams across the organization design and build enterprise software. You will tackle the most ambiguous technical problems, remain hands-on where needed, and multiply your impact through architecture, technical leadership, and mentorship of senior engineers.


Your Impact

  • Set architectural vision and technical direction for AI-first enterprise applications and platforms spanning multiple teams and business domains
  • Lead the architecture and delivery of the most complex cross-team systems across full-stack applications, cloud-native services, enterprise data, and applied AI
  • Establish reusable engineering standards, reference architectures, and shared capabilities for AI-first systems, including agentic workflows, RAG and retrieval, LLM evaluation, guardrails and AI security, and tool integration using technologies such as Vertex AI, LangChain/LangGraph, MCP, and A2A protocols
  • Partner with senior business and technology leaders to translate ambiguous, high-impact problems into clear technical strategies and influence broader technical direction
  • Drive AI-native engineering practices and modern development workflows, including effective use of tools such as Cursor, Claude Code, and similar platforms to improve engineering velocity and quality
  • Mentor senior engineers and technical leaders, raise engineering standards, and multiply technical impact across the broader organization

Qualifications


  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent practical experience
  • 10+ years of software engineering experience with demonstrated technical leadership across complex, production-scale systems
  • Deep full-stack and distributed systems engineering experience
  • Demonstrated experience setting architecture and technical direction across multiple services, applications, or engineering teams
  • Production experience designing and building AI-integrated systems using LLMs, RAG, embeddings, tool/function calling, agentic workflows, or related architectures
  • Experience designing production AI systems involving LLM orchestration, agents, retrieval, tool use, evaluation, and human-in-the-loop workflows
  • Strong understanding of AI evaluation, guardrails, model and agent reliability, security, latency, cost, and production observability
  • Strong understanding of APIs, enterprise data, system integration, cloud-native architecture, security, reliability, and production operations
  • Experience deploying and scaling cloud-native applications and services
  • Proven ability to translate ambiguous business problems into clear technical architectures and execution strategies
  • Demonstrated ability to influence senior engineers, cross-functional stakeholders, and technical leadership
  • Track record of establishing technical standards and multiplying impact beyond individual project ownership

Preferred Experience

  • TypeScript, Node.js/NestJS, React, Python, and SQL
  • Experience with RAG architectures, vector databases, embeddings, semantic search, retrieval, and context engineering
  • Experience with LangChain/LangGraph, MCP, A2A protocols, tool integration, and production agentic architectures
  • Experience establishing evaluation frameworks, LLM security controls, prompt injection defenses, and input/output validation
  • Experience with applied machine learning or data science, including model development and evaluation, experimentation, statistical analysis, forecasting, classification, or other predictive techniques
  • Experience with Docker, Kubernetes, event-driven systems, and modern cloud infrastructure
  • Experience using AI-native development environments such as Cursor, Claude Code, Windsurf, or similar tools in professional engineering workflows
  • Experience building reusable enterprise platforms, reference architectures, or shared technical capabilities adopted across multiple teams

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t 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  accommodations@paloaltonetworks.com.

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.

Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.
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Location & working pattern

Office - India - Bangalore Bagmane Tech Park

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Work authorization
All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

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