Sr. Manager, AI Application Engineering

7 - 12 years

19 - 25 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About Netskope

Today, theres more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.

About the Role

We are seeking an exceptional Senior Engineering Manager to lead our AI Application Engineering team in India. This is a pivotal role that combines technical leadership, people management, and strategic vision to build cutting-edge AI-powered security solutions. You will lead a team of talented engineers building intelligent applications that enhance our cloud security platform using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and advanced AI/ML techniques.

Your team will be responsible for developing AI-driven features that transform how security teams detect threats, analyze incidents, and respond to security events. This includes building conversational interfaces for security operations, intelligent agentic workflows for threat analysis, and automated systems that leverage generative AI to enhance security workflows.

Required Skills and Experience AI/ML and Generative AI Expertise

  • 7+ years of software engineering experience

    , with

    3+ years in engineering management

    leading teams of 10+ engineers

  • Deep hands-on experience building production agentic AI applications using

    LangChain, LangGraph, or similar orchestration frameworks


  • Proven expertise implementing

    RAG (Retrieval-Augmented Generation) systems

    with vector databases and LLMs

  • Strong understanding of

    LLM APIs

    (OpenAI, Anthropic, Azure OpenAI, etc.) and prompt engineering best practices

  • Knowledge of

    LLMOps practices

    including model evaluation, monitoring, versioning, and production deployment


Software Engineering & Architecture

  • Strong proficiency in

    Python

    for AI/ML applications, with experience in FastAPI, Flask, or similar frameworks

  • Hands-on experience with

    cloud platforms

    (AWS, Azure, or GCP) and cloud-native architectures

  • Understanding of

    microservices, APIs, and distributed systems

    design patterns

  • Experience with

    containerization (Docker, Kubernetes)

    and modern deployment practices

  • Proficiency in

    version control (Git), CI/CD pipelines

    , and agile development methodologies

  • Knowledge of

    data engineering

    concepts including ETL/ELT pipelines, data quality, and data governance


Cybersecurity Domain Knowledge

  • Strong background in cybersecurity

    with understanding of threat detection, incident response, and security operations

  • Experience with

    SIEM platforms

    (Splunk, Elastic Security, Azure Sentinel) or security analytics systems is a plus

  • Knowledge of

    security concepts

    including threat intelligence, anomaly detection, MITRE ATT&CK framework

  • Understanding of

    cloud security

    (CASB, SASE, SSE, Zero Trust) and modern security architectures is preferred


Leadership & Communication

  • Proven track record of

    building and scaling high-performing engineering teams

    in fast-paced environments

  • Strong

    project management

    skills with ability to manage multiple initiatives simultaneously

  • Excellent

    communication and presentation skills

    for technical and non-technical audiences

  • Experience

    translating business requirements

    into technical solutions and strategic roadmaps

  • Ability to

    influence and drive consensus

    across cross-functional teams and stakeholders

  • Mentorship and coaching

    abilities to develop talent and grow future technical leaders


Preferred Qualifications

  • Experience in the

    cybersecurity or cloud security industry


  • Hands-on experience with

    agentic AI frameworks

    and multi-agent systems

  • Experience with

    threat intelligence platforms

    and security orchestration (SOAR)

  • Contributions to

    open-source AI/ML projects

    or security tools

  • Experience with

    streaming data processing

    (Kafka, Flink) in security contexts

  • Publications, patents, or conference presentations in AI/ML or cybersecurity


Education

  • Bachelors degree in Computer Science, Engineering, or related field required


  • Masters degree or PhD in Computer Science, AI/ML, or related field strongly preferred



What We Offer

  • Opportunity to work on cutting-edge generative AI applications in cybersecurity

  • Lead a talented team at a company recognized as a Gartner Leader in SASE

  • Competitive compensation package including salary, equity, and comprehensive benefits

  • Professional development opportunities and access to latest AI/ML technologies

  • Collaborative, innovation-driven culture with global impact

  • Flexible work arrangements and strong work-life balance

  • Work with Fortune 500 customers and solve real-world security challenges at scale


About Working at Netskope Bangalore

Join Netskopes growing Bangalore engineering hub, which serves as a key center for innovation in cloud security. Our Bangalore office features modern facilities in Whitefields EPIP Zone, fostering collaboration and creativity. We maintain an open, transparent culture where technical experts work shoulder-to-shoulder with colleagues, and the best ideas win regardless of hierarchy.

As part of our global team of ~3,000 employees, youll work with industry leaders in security, networking, and AI/ML. We support remote work flexibility, encourage continuous learning, and provide opportunities to work on products that protect some of the worlds largest and most sophisticated organizations.

#LI-JB3

Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.

Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskopes Privacy Policy for more details.

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