Lead design and implementation of AI/ML solutions for Identity and Access Management, including risk scoring, anomaly detection, automation of provisioning/deprovisioning, and integration with IGA/PAM. Collaborate with architects, engineers, and stakeholders to ensure secure, explainable, and operational AI-driven access controls and monitoring.
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 won’t just imagine the future-you’ll 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 / BengaluruResponsibilities 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 Identity and Access Management (IAM) domain 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.
- Overall - At least 12+ years of experience in performing security engineering and assessments of complex systems with AI / ML / Data Science capabilities and services
- 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-solving, and communication skills
- Flexible to provide coverage in US morning hours on a need-basis, and as required.
- Bachelor's or master's degree in computer science, mathematics, information systems, engineering, or cybersecurity.
- Strong understanding of Identity and Access Management IAM domain
- Experience designing, developing, and deploying secure AI systems.
- Training in secure coding standards and best practices for AI-related projects.
- Knowledge of ethical hacking techniques.
- Ability to develop security protocols and policies.
- Excellent communication, problem-solving, and analytical skills.
- Ability to work independently and as part of a team.
Weekly Hours:
40Time Type:
RegularLocation:
IND:AP:Hyderabad / Argus Bldg 4f & 5f, Sattva, Knowledge City- Adm: Argus Building, Sattva, Knowledge CityAT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.
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