# Senior AI & Security Automation Engineer at Thales

Thales is hiring a Senior AI & Security Automation Engineer for a remote role open to applicants in United States. It pays $127k-$253k a year and Level rates it Builds AI ●●●●; you can [apply on Level](https://jobsbylevel.com/go/03da595b-88c1-44a9-a510-11b4d8a3577e).

AI Level 4, AI centrality 85 out of 100. Remote (Austin).

## Details

- Company: [Thales](https://jobsbylevel.com/companies/thales)
- AI level: AI Level 4 (score 85 out of 100)
- Location: Remote (Austin)
- Salary: $127k-$253k
- Posted: October 5, 2026
- Apply: https://jobsbylevel.com/go/03da595b-88c1-44a9-a510-11b4d8a3577e

## Description

Location: Austin, United States of America 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 Senior AI & Security Automation Engineer who designs, builds, and maintains intelligent automation systems, agentic workflows, and cloud-native integrations to eliminate operational toil across our Security Services and Operations teams. Sitting at the intersection of modern software engineering, applied artificial intelligence, and enterprise cybersecurity, this role transforms manual, repetitive workflows—such as log routing, alert enrichment, incident triage, and policy audits—into resilient, automated pipelines, search architectures, and AI copilots that scale service delivery. Key Areas of Responsibility 1.Applied AI & Agentic Workflow Development • Architect and deploy multi-step AI agents and autonomous reasoning workflows using Amazon Bedrock and LLM orchestration frameworks to automate alert triage, log summarization, and incident root-cause analysis. • Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines over internal security runbooks, threat intelligence feeds, and product documentation using Amazon OpenSearch Service and Bedrock Knowledge Bases. • Implement robust evaluation frameworks, Bedrock Guardrails, and deterministic fallback layers to prevent hallucinations, secure against prompt injections, and ensure operational safety. 2.Security Automation, Search & Integration Engineering • Develop and maintain event-driven automation pipelines and custom API connectors linking SIEMs, cloud log sources, WAFs, API security platforms, and ticketing systems. • Design, build, and optimize search and ingestion pipelines to index security telemetry and event logs into Amazon OpenSearch Service for fast querying, anomaly detection, and vector retrieval. • Build orchestration playbooks to automate routine customer onboarding tasks, configuration drift audits, and security policy deployments. • Implement detection-as-code and configuration-as-code pipelines using Git version control and CI/CD best practices. 3. Internal Tooling & Service Enablement • Package automation engines and search queries into user-friendly CLI tools, ChatOps bots (Slack/Teams), and internal web portals for security consultants and analysts. • Partner directly with delivery teams to identify operational bottlenecks and engineer scalable programmatic solutions. • Monitor pipeline health, Bedrock token consumption, OpenSearch cluster performance/indexing latency, API rate limits, and compute costs across all deployed tools. 4. 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 • Education: Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, Data Science, or a related technical field; Master’s degree is a plus. • Experience: 9+ years of hands-on experience in software engineering, security automation, DevSecOps, or applied machine learning engineering. 4+ years of experience in software engineering, AI/ML, data, cloud, or enterprise technology, including 2+ years designing, developing and delivering AI/ML

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-ai-security-automation-engineer-at-thales-68e6e1

Source: https://jobsbylevel.com/jobs/senior-ai-security-automation-engineer-at-thales-68e6e1

## Cite this page

Level. https://jobsbylevel.com/jobs/senior-ai-security-automation-engineer-at-thales-68e6e1.

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