Senior AI/ML Security Dev Ops Engineer

Projects Overview

Date Posted: 08-Jul-2026
Job Type: Full Time
Job Exp: 3 Year
Salary: ₹20000 / MONTH
Location: bengaluru
Education Req: Bachelor's degree

Job description

Location:
Bengaluru, Karnataka

Benefits:

Health insurance

Full Job Description

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact. Every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard, and feels like they belong.

Join Team Amex and let's lead the way together.

How Will You Make an Impact in This Role?

As a Senior Development Operations Engineer, you will play a critical role in ensuring secure and robust AI/ML practices within the organization. You will lead initiatives related to AI security, risk management, and compliance while collaborating across departments to meet business and regulatory goals. Your work will focus on automating AI/ML security processes, conducting stress testing, and managing AI risk frameworks.

Organizational Context:
This position involves working across multiple internal and external organizations, leading cross-functional projects, and enhancing AI/ML security capabilities through automated processes and advanced risk management techniques.

Key Responsibilities:

1. AI/ML Security & Risk Management

Implement secure model development life cycle practices with automated white-box and black-box assessments for AI/ML models.
Deliver and integrate AI robustness, vulnerability, and stress testing capabilities with MLOps ecosystems.
Evaluate and assess open-source AI security libraries to build into enterprise AI stress testing and audit capabilities.
Implement end-to-end LLM security risk management processes and automated protections.

2. Development & Deployment

Support production deployments of AI/ML safety systems using cloud-native packaging and deployment techniques such as containers, serverless, CI/CD, and APIs.
Incorporate machine learning models into diverse application security tooling and processes.
Manage cloud deployments and automation frameworks for AI/ML security systems.

3. Process Optimization & Governance

Establish and govern AI/ML and Generative AI application security standards.
Provide production support and operations for AI/ML security systems.
Enhance operational efficiency by integrating AI workload management with DevOps and DataOps practices.

Qualifications & Skills:

Minimum Qualifications:

Bachelor’s degree in Data Science, Statistics, Computer Science, or Software Engineering.
3+ years of Development Operations experience.
3+ years of software engineering experience.
Certified Kubernetes Administrator (CKA) and Certified Kubernetes Application Developer (CKAD).

Preferred Qualifications:

Master’s degree in Data Science, Statistics, Computer Science, or Software Engineering.
Professional certifications in Machine Learning Operations (MLOps).
Strong knowledge of adversarial robustness techniques and AI Risk Management frameworks.
Experience with:
- Designing and operationalizing AI/ML pipelines.
- Public cloud deployments of AI/ML models.
- Evaluating open-source ML tools and frameworks.
- AI workload management and cloud architecture.
- API integrations and secure data processing.
- Contributing to peer-reviewed journals, conferences, or open-source projects.

Employee Benefits:

We support our colleagues and their loved ones through comprehensive benefits, including:

Competitive base salaries and bonus incentives.
Support for financial well-being and retirement.
Medical, dental, vision, life insurance, and disability benefits (location-dependent).
Flexible work arrangements (hybrid, onsite, or virtual based on role and business needs).
Generous paid parental leave (location-dependent).
Access to global on-site wellness centers (location-dependent).
Free and confidential counseling through our Healthy Minds program.
Career development and training opportunities.

American Express is an equal opportunity employer. We make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or other protected statuses.

Employment is subject to a successful background verification check, as required by applicable laws and regulations.