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Thales

Security AI Ops Engineer

  • Hybrid
  • 6+ years

Salary

Not stated

Similar roles pay $140K - 220K a year · our estimate

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Description

Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billions of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.

Position Summary

Austin, Hybrid

Thales is looking for a Security AI Operations Engineer who bridges automated AI systems and human security operations. This role is responsible for the day-to-day supervision, quality control, and execution of AI-assisted security workflows.

Working alongside the Security Automation & AI Engineering team, the Specialist manages "Human-in-the-Loop" (HITL) triage queues, maintains and updates knowledge bases feeding generative models, audits AI outputs for accuracy, and ensures prioritized investigation tasks are routed seamlessly to front-line security analysts and consultants.

Key Areas of Responsibility

AI Workflow Supervision & Human-in-the-Loop (HITL) Routing

Review and validate low-confidence alert enrichments, threat summaries, and triage recommendations generated by AI agents.

Assign, dispatch, and track complex security investigations, policy changes, and incident response playbooks to appropriate Tier 2/3 analysts and consultants.

Serve as the operational escalation point when automated pipelines encounter exceptions, edge cases, or platform integration errors.

Knowledge Base & Prompt Lifecycle Management

Curate, clean, and organize internal runbooks, standard operating procedures (SOPs), threat intelligence, and product documentation stored in Amazon Bedrock Knowledge Bases and Amazon OpenSearch Service.

Audit AI retrieval quality and document gaps in knowledge coverage that lead to model hallucinations or poor responses.

Perform routine prompt adjustments and template maintenance, submitting structured enhancement tickets to engineering when underlying code changes are required.

Quality Assurance & Performance Auditing

Regularly audit AI-generated outputs (incident summaries, triage context, customer reports) against human analyst benchmarks to ensure high fidelity and operational safety.

Identify recurring false positives or hallucination patterns, collaborating directly with automation engineers to refine model guardrails and prompt evaluation datasets.

Track and report on operational KPIs, including Mean Time to Respond (MTTR), task assignment velocity, and analyst AI adoption.

Team Enablement & Operational Feedback

Train security analysts and services teams on prompt best practices, effective use of internal AI copilots, and feedback submission workflows.

Gather front-line feedback and feature requests from security practitioners to help shape the automation engineering roadmap.

Sales

Partner with the Sales Engineering team to develop and deliver Value-Added Services (VAS) proof-of-values (POVs), clearly demonstrating the business value and impact of these services.

Collaborate with Account teams to accelerate time-to-value for Thales solutions among non-VAS customers, strengthening customer adoption, retention, and renewal outcomes.

Minimum Qualifications

Bachelor’s degree, in Computer Science, Cybersecurity, Information Technology, Engineering, or a related field.

8+ years in a Security Operations Center (SOC), Managed Security Services (MSSP), IT Service Management (ITSM), or technical workflow coordination role, including 2+ years working with AI/Gen AI-enabled tools or workflows.

Cybersecurity Foundation: Working knowledge of security operations, threat lifecycle, alert triage, WAF, API security, and common security frameworks (e.g., MITRE ATT&CK, NIST).

AI & Workflow Tooling: Practical experience interacting with generative AI tools, prompt workflows, and enterprise ticketing/orchestration platforms (e.g., Jira, ServiceNow, PagerDuty, or SOAR platforms).

Cloud & Search Interface Familiarity: Working comfort navigating the AWS Management Console (specifically Amazon Bedrock, Amazon OpenSearch Dashboards, and CloudWatch metrics).

Communication & Documentation: Strong technical writing skills with experience authoring security runbooks, SOPs, and structured process documentation.

Applicants must be legally authorized to work in the United States for any employer at the time of hire. This position is not eligible for visa sponsorship or for assuming sponsorship of an employment visa now or in the future.

Preferred Qualifications

Data & Query Skills: Basic scripting ability in Python or experience writing search queries (OpenSearch / Elasticsearch queries, SQL, or Lucene).

Workflow Automation: Experience configuring no-code/low-code workflow tools, webhook triggers, or ticketing automation rules.

Industry Certifications:

o AWS Certified Security – Specialty or AWS Certified Solutions Architect – Associate/Professional

o AWS Certified AI Practitioner or Machine Learning – Specialty

o CISSP (Certified Information Systems Security Professional)

o GIAC Certifications: GCIH (Incident Handler), GCIA (Intrusion Analyst), GCDA (Detection Analyst), or GASAE (AI Security Automation Engineer)

Special Position Requirements

Schedule: Monday to Friday 9hrs shift (8hrs work + 1 hour lunch included) and occasional paid weekend on-calls (Once every 2 months)

Conditions

Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billions of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.

Position Summary

Austin, Hybrid

Thales is looking for a Security AI Operations Engineer who bridges automated AI systems and human security operations. This role is responsible for the day-to-day supervision, quality control, and execution of AI-assisted security workflows.

Working alongside the Security Automation & AI Engineering team, the Specialist manages "Human-in-the-Loop" (HITL) triage queues, maintains and updates knowledge bases feeding generative models, audits AI outputs for accuracy, and ensures prioritized investigation tasks are routed seamlessly to front-line security analysts and consultants.

Key Areas of Responsibility

AI Workflow Supervision & Human-in-the-Loop (HITL) Routing

Review and validate low-confidence alert enrichments, threat summaries, and triage recommendations generated by AI agents.

Assign, dispatch, and track complex security investigations, policy changes, and incident response playbooks to appropriate Tier 2/3 analysts and consultants.

Serve as the operational escalation point when automated pipelines encounter exceptions, edge cases, or platform integration errors.

Knowledge Base & Prompt Lifecycle Management

Curate, clean, and organize internal runbooks, standard operating procedures (SOPs), threat intelligence, and product documentation stored in Amazon Bedrock Knowledge Bases and Amazon OpenSearch Service.

Audit AI retrieval quality and document gaps in knowledge coverage that lead to model hallucinations or poor responses.

Perform routine prompt adjustments and template maintenance, submitting structured enhancement tickets to engineering when underlying code changes are required.

Quality Assurance & Performance Auditing

Regularly audit AI-generated outputs (incident summaries, triage context, customer reports) against human analyst benchmarks to ensure high fidelity and operational safety.

Identify recurring false positives or hallucination patterns, collaborating directly with automation engineers to refine model guardrails and prompt evaluation datasets.

Track and report on operational KPIs, including Mean Time to Respond (MTTR), task assignment velocity, and analyst AI adoption.

Team Enablement & Operational Feedback

Train security analysts and services teams on prompt best practices, effective use of internal AI copilots, and feedback submission workflows.

Gather front-line feedback and feature requests from security practitioners to help shape the automation engineering roadmap.

Sales

Partner with the Sales Engineering team to develop and deliver Value-Added Services (VAS) proof-of-values (POVs), clearly demonstrating the business value and impact of these services.

Collaborate with Account teams to accelerate time-to-value for Thales solutions among non-VAS customers, strengthening customer adoption, retention, and renewal outcomes.

Minimum Qualifications

Bachelor’s degree, in Computer Science, Cybersecurity, Information Technology, Engineering, or a related field.

8+ years in a Security Operations Center (SOC), Managed Security Services (MSSP), IT Service Management (ITSM), or technical workflow coordination role, including 2+ years working with AI/Gen AI-enabled tools or workflows.

Cybersecurity Foundation: Working knowledge of security operations, threat lifecycle, alert triage, WAF, API security, and common security frameworks (e.g., MITRE ATT&CK, NIST).

AI & Workflow Tooling: Practical experience interacting with generative AI tools, prompt workflows, and enterprise ticketing/orchestration platforms (e.g., Jira, ServiceNow, PagerDuty, or SOAR platforms).

Cloud & Search Interface Familiarity: Working comfort navigating the AWS Management Console (specifically Amazon Bedrock, Amazon OpenSearch Dashboards, and CloudWatch metrics).

Communication & Documentation: Strong technical writing skills with experience authoring security runbooks, SOPs, and structured process documentation.

Applicants must be legally authorized to work in the United States for any employer at the time of hire. This position is not eligible for visa sponsorship or for assuming sponsorship of an employment visa now or in the future.

Preferred Qualifications

Data & Query Skills: Basic scripting ability in Python or experience writing search queries (OpenSearch / Elasticsearch queries, SQL, or Lucene).

Workflow Automation: Experience configuring no-code/low-code workflow tools, webhook triggers, or ticketing automation rules.

Industry Certifications:

o AWS Certified Security – Specialty or AWS Certified Solutions Architect – Associate/Professional

o AWS Certified AI Practitioner or Machine Learning – Specialty

o CISSP (Certified Information Systems Security Professional)

o GIAC Certifications: GCIH (Incident Handler), GCIA (Intrusion Analyst), GCDA (Detection Analyst), or GASAE (AI Security Automation Engineer)

Special Position Requirements

Schedule: Monday to Friday 9hrs shift (8hrs work + 1 hour lunch included) and occasional paid weekend on-calls (Once every 2 months)

Benefits

  • Say HI and learn more about working at Thales click here .
  • LI- Hybrid
  • LI-TI1
  • Thales champions inclusion and we believe diversity strengthens the fabric of our culture. Thales is an Equal Opportunity Employer, including disability/veterans.
  • If you need an accommodation or assistance in order to apply for a position with Thales, please contact us at talentacquisition@us.thalesgroup.com .
  • The reference Total Target Compensation (TTC) market range for this position, inclusive of annual base salary and the variable compensation target, is between
  • Total Target Cash (TTC) 115,599.00 - 214,834.00 USD Annual
  • This reflects how companies in a similar industry and geographic region generally pay for similar jobs. This range helps the Company make pay decisions as one data point among many. Where a position falls within this range is also dependent on other factors including – but not limited to – the employee’s career path history, competencies, skills and performance, as well as the company’s annual salary budget, the customer’s program requirements, and the company’s internal equity. Thales may offer additional benefits and other compensation, depending on circumstances not related to an applicant’s status protected by local, state, or federal law.
  • (For Internal candidate, if you need more information, please raise HR request through MyThales )
  • Thales provides an extensive benefits program for all full-time employees working 30 or more hours per week and their eligible dependents, including the following:
  • Elective Health, Dental, Vision, FSA/HSA, Voluntary Life and AD&D, Whole Group Life w/LTC, Critical Illness, Hospital Indemnity, Accident Insurance, Legal Plan, Identity Theft, and Pet Insurance
  • Retirement Savings Plan after 30 days of employment with a company contribution and a match, and with no vesting period
  • Company paid holidays and Paid Time Off
  • Company provided Life Insurance, AD&D, Disability, Employee Assistance Plan, and Well-being Program

Where you’d work

Part of the week in the office

You can work from

  • United States

No visa sponsorship

About the company

Thales

  • Industry: Cybersecurity

Offices in Austin, United States, United States

Also hiring in Belfast, United Kingdom, United Kingdom, Germany and 22 more places

13 of their 128 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 2 red flags

Still hiring?

13 checks

1 red flag

How crowded?

6 checks

1 red flag

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Details14 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • AWS
  • Elasticsearch
Type
Full-time
Equity
Equity offered
Industry
Cybersecurity
Specialty
Security
Region
United States
Show 8 more factsShow less

Role

Category
DevOps & Infrastructure
Specialty
Security
Experience
8+ years
Tech stack
  • Python
  • AWS
  • Elasticsearch

Location

Work model
Hybrid
Region
United States
Offices
  • Austin, United States
  • United States
Remote from
  • United States
Visa sponsorship
Not sponsored

Compensation

Salary
Salary by agreement
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Company

Industry
Cybersecurity

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