Lead Cybersecurity - Insider Risk Engineer

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

Overview

Join AT&T and help shape the future of communications and technology that connect the world. We value innovators who seek to explore the unknown and challenge the status quo. Bring your bold ideas and fearless spirit to redefine connectivity and transform how people share stories and experiences. At AT&T, you won’t just imagine the future—you’ll build it.

Key Responsibilities (AI‑Focused)

• Build AI prototypes and small services that solve defined problems (e.g., text classification, summarization, routing, search, Q&A, extraction).
• Develop and maintain data pipelines for AI use cases (collect, clean, label, transform) using approved data sources.
• Create and iterate on LLM prompts, agent/workflow logic, and retrieval‑augmented generation (RAG) patterns for internal knowledge use cases.
• Implement evaluation methods for AI outputs (quality, groundedness, hallucination checks, latency, cost) and report results.
• Support model lifecycle tasks: experiment tracking, versioning, basic MLOps (packaging, deployment, monitoring).
• Assist in integrating AI components into existing applications via APIs and lightweight UI or automation.
• Document solutions (design notes, datasets, prompt versions, test cases) and contribute to internal reusable components.
• Collaborate with stakeholders to define success metrics, acceptance criteria, and guardrails for AI‑enabled features.

Example Use Cases (Optional)

• Summarize tickets/incidents into standardized notes and action items.
• Auto‑tag and route requests based on description content.
• Extract entities and indicators from unstructured text (emails, logs, reports).
• Build an internal knowledge assistant over approved documentation with citations.
• Generate draft playbooks/runbooks from templates and curated inputs.

Required Skills / Qualifications

• 0–2 years of experience in software engineering, data engineering, analytics, or applied ML (internships/academic projects welcome).
• Strong fundamentals in Python.
• Working knowledge of data structures, APIs, and basic software engineering practices (testing, code reviews, Git).
• Data handling with pandas/SQL.
• ML basics (train/test splits, overfitting, common metrics) and/or LLM application patterns.
• Familiarity with at least one AI/ML framework or platform (coursework/labs acceptable): PyTorch, TensorFlow, scikit‑learn, or common LLM tooling.
• Ability to write clear documentation and communicate tradeoffs (quality vs cost vs latency).

Preferred Qualifications

• Experience with GenAI application development patterns, including RAG (embeddings, vector databases, chunking strategies).
• Prompt engineering and prompt versioning.
• Tool/function calling and agentic workflows.
• Output evaluation and red‑teaming basics (prompt injection awareness, safety filters).
• Exposure to MLOps concepts: CI/CD for ML, model registry, feature stores, monitoring drift.
• Experience with cloud services (any of AWS/Azure/GCP) and containerization (Docker/Kubernetes).
• Basic understanding of privacy/security fundamentals for AI systems (data handling, access controls, logging).

Cybersecurity‑Aligned Preferred Experience (nice‑to‑have)

• Experience partnering with or supporting a SOC (e.g., translating analyst workflows into automations, alert triage enrichment, case summarization).
• Familiarity with SIEM/EDR concepts and data (e.g., Splunk/Sentinel‑like searches, endpoint telemetry, detection event schemas) to build AI features on top of security telemetry.
• Exposure to threat intelligence & IOC handling (IPs/domains/URLs/hashes) and using AI to extract/normalize indicators from unstructured text.
• Working knowledge of incident response lifecycle and case management processes (ticketing, evidence handling, basic post‑incident reporting).
• Awareness of secure software practices (secrets management, least privilege, dependency hygiene) when building and deploying AI services.

Education / Experience

Bachelor’s degree (BS/BA) desired in Computer Science or Cybersecurity. 5+ years of related experience. Certification is required in some areas.

Supervisor

No

Weekly Hours

40

Time Type

Regular

Location

USA: NC: Charlotte / IBM Dr - Adm: 8505 IBM Dr

Salary Range

$141,300.00 - $211,900.00

Benefits

• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company‑designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond what state and local law require may be available but is unprotected
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

EEO Statement

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.