Lead Cybersecurity - Insider Risk Engineer

AT&T; Dallas (TX); On-site; USD 141,000 - 237,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement program

Paid Time Off and Holidays

Paid Parental Leave

Adoption Reimbursement

Disability Benefits

Employee discounts

Job summary

AT&T is seeking an AI Engineer to design, develop, and deploy AI-enabled solutions enhancing security operations and business workflows. The role focuses on AI/ML and GenAI components, data prep, prompts, evaluation, and lightweight model development, partnering with engineers, product owners, and operations teams.

You will build prototypes, maintain data pipelines, and iterate on retrieval-augmented generation patterns while integrating AI into existing applications and documenting work for

Qualifications

• Bachelor’s degree in Computer Science or Cybersecurity; 5+ years related experience.
• Strong fundamentals in Python and ML concepts.
• Experience with data handling, APIs, and software engineering basics.

Responsibilities

• Build AI prototypes and small services to solve defined problems (text classification, summarization, routing, search, Q&A, extraction).
• Develop and maintain data pipelines for AI use cases (collect, clean, label, transform).
• Create and iterate on LLM prompts, agent/workflow logic, and retrieval-augmented generation patterns.
• Implement evaluation methods for AI outputs (quality, groundedness, latency, cost) and report results.
• Support model lifecycle tasks: experiment tracking, versioning, MLOps basics (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 reusable components.
• Collaborate with stakeholders to define success metrics, acceptance criteria, and guardrails.

Skills

Python

Data structures

APIs

Git

Pandas/SQL

ML basics

LLM patterns

Communication

Education

Bachelor’s degree in Computer Science or Cybersecurity

Tools

PyTorch

TensorFlow

scikit-learn

Docker

Kubernetes

LLM tooling

Job description

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.

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.

The Insider Risk AI Engineer supports the design, development, and deployment of AI-enabled solutions that improve security operations and business workflows. This role focuses on building and iterating AI/ML and GenAI components (data prep, prompt/workflow design, evaluation, and lightweight model development), partnering with senior engineers, product owners, and operational teams to move prototypes into reliable services.

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 andmaintaindata 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, basicMLOps(packaging, deployment, monitoring).
• Assistin 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:
• 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 toMLOpsconcepts: CI/CD for ML, model registry, feature stores, monitoringdrift.
• Experience with cloud services (any of AWS/Azure/GCP) and containerization (Docker).
• Basic understanding of privacy/security fundamentals for AI systems (data handling, access controls, logging).

Preferred Qualifications (expanded to include cybersecurity-aligned experience)

• Experience with GenAI application development patterns:
• 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 toMLOpsconcepts: CI/CD for ML, model registry, feature stores, monitoringdrift
• Experience with cloud services (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 aSOC(e.g., translating analyst workflows into automations, alert triage enrichment, case summarization).
• Familiarity withSIEM/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 tothreat intelligence & IOC handling(IPs/domains/URLs/hashes) and using AI to extract/normalize indicators from unstructured text.
• Working knowledge ofincident response lifecycleand case management processes (ticketing, evidence handling, basic post-incident reporting).
• Awareness ofsecure software practices(secretsmanagement, 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

Our Lead Cybersecurity jobs earn between $141,300.00 - $237,400.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and 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

Weekly Hours:

40

Time Type:

Regular

Location:

USA:NC:Charlotte / Ibm Dr - Adm:8505 Ibm Dr, USA:TX:Dallas / Dallas Pkwy - Co (Renner 248):17451 Dallas Pkwy

Salary Range:

$141,300.00 - $237,400.00

AT&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.