Senior Cyber Security IAM AI Engineer

Att

India

On-site

INR 400,000 - 700,000

Full time

14 days+
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Job summary

AT&T Identity and Access Management team seeks a Senior Cyber Security AI Engineer to design, develop, and implement AI-enabled IAM solutions. The role focuses on authentication, authorization, anomaly detection, and risk-based access controls, with collaboration across architects, data scientists, and business stakeholders.

The candidate should have 12+ years in security engineering with AI/ML capabilities, hands-on experience with ML frameworks, and strong IAM domain knowledge.

Qualifications

  • 12+ years of security engineering with AI/ML capabilities.
  • 4+ years auditing AI/ML systems for security risks and compliance.
  • Strong understanding of IAM domain and access control models.
  • Experience with large-scale datasets including logs and audit data.
  • Hands-on with ML/DL/statistical modeling and AI techniques.

Responsibilities

  • Design and develop AI/ML models to support IAM use cases like access risk scoring and anomaly detection.
  • Apply AI to identity lifecycle management, provisioning, deprovisioning, and certifications.
  • Integrate AI solutions with IAM platforms (IGA, PAM, authentication).
  • Collaborate with IAM engineering to automate processes using AI and workflow automation.
  • Design data models, features, and evaluation methods for IAM use cases.
  • Ensure AI-enabled IAM solutions align with security standards and governance.
  • Monitor model performance, drift, and operational effectiveness.
  • Create technical docs, diagrams, and runbooks.

Skills

AI/ML security
IAM domain
Security auditing AI/ML
Large-scale datasets
AI/ML frameworks
Data platforms
Cloud platforms
Security governance
Business->technical mapping

Tools

TensorFlow
PyTorch
Scikit-learn
XGBoost
LangChain

Job description

About the Company:

Join AT&T and reimagine the communications and technologies that connect the world. Our Chief Security Office ensures that our assets are safeguarded through truthful transparency, enforce accountability and master cybersecurity to stay ahead of threats. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you wont just imagine the future-youll create it.

About the Job:

As part of the AT&T Identity and Access Management team, we are seeking an Senior Cyber Security AI Engineer with strong expertise in applying artificial intelligence, machine learning, automation, and data-driven decisioning within the Identity and Access Management IAM domain. The ideal candidate will design, develop, and implement AI-enabled solutions that improve identity governance, access certification, authentication, authorization, anomaly detection, privileged access monitoring, and risk-based access controls.

This role will work closely with IAM architects, cybersecurity teams, platform engineers, application owners, data scientists, and business stakeholders to deliver scalable, secure, and intelligent IAM capabilities across enterprise environments.

Experience Level: 12+ years.

Location: Hyderabad / Bengaluru

Responsibilities Include:
  • The expert in this role will lead, support and guide team members in technical and functional matters in providing high-quality and actionable products / deliverables. Leads the team to success. Collaborates with leadership teams, provides subject matter expertise and insights. The Lead Cybersecurity in this role will -
  • Design and develop AI/ML models to support IAM use cases such as access risk scoring, identity analytics, anomalous behavior detection, and access recommendation engines.
  • Apply AI techniques to improve identity lifecycle management, access provisioning, deprovisioning, access reviews, and certification processes.
  • Integrate AI solutions with IAM platforms such as IGA, PAM and authentication solutions
  • Collaborate with IAM engineering teams to automate manual processes using AI, machine learning, natural language processing, and workflow automation.
  • Design and implement data models, feature engineering approaches, and model evaluation methods for IAM-related use cases.
  • Partner with security architecture teams to ensure AI-enabled IAM solutions align with enterprise security standards.
  • Monitor model performance, accuracy, drift, and operational effectiveness.
  • Support explainability, auditability, and governance of AI-driven access decisions.
  • Create technical documentation, design diagrams, implementation plans, and operational runbooks.
  • Stay current with emerging AI, cybersecurity, and IAM technologies and recommend improvements.
  • The expert in this role will perform analysis of complex security issues and corresponding activities to help mitigate risk. Includes forward looking research, planning and strategy to strengthen our stance against future cyber security threats and attacks, and enhancing our mitigation techniques, processes, and technology solutions.
Required skills:
  • Overall - At least 12+ years of experience in performing security engineering and assessments of complex systems with AI / ML / Data Science capabilities and services
  • 4+ years of experience auditing existing AI or machine learning systems for security risks and compliance.
  • Strong understanding of Identity and Access Management IAM domain
  • Hands-on experience with machine learning, deep learning, or statistical modeling.
  • Experience working with large-scale datasets, including authentication logs, access logs, entitlement data, user attributes, and audit data.
  • Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, XGBoost, LangChain, or similar tools.
  • Experience with data platforms and tools such as SQL, Spark, Databricks, Snowflake, BigQuery, or similar technologies.
  • Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
  • Understanding of cybersecurity principles, access control models, and enterprise risk management.
  • Ability to translate business and security requirements into technical AI solutions.
  • Strong analytical, problem-sol
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