1

Lakera Jobs (NOW HIRING)

Hands-on experience with AI security platforms such as Palo Alto Prisma AIRS, Cisco AI Defense, Protect AI, Lakera, or Wiz AI Security * Familiarity with core enterprise security platforms including ...

Hands-on experience with AI/ML security tooling and AI security posture management (AI-SPM) platforms (e.g., Wiz AI-SPM, Protect AI, HiddenLayer, Lakera, or comparable model-scanning and guardrail ...

Hands-on experience with AI security platforms such as Palo Alto Prisma AIRS, Cisco AI Defense, Protect AI, Lakera, or Wiz AI Security * Familiarity with core enterprise security platforms including ...

Familiarity with LLM red-teaming and adversarial testing tooling (e.g., Garak, PyRIT, Rebuff, Lakera Guard, or equivalent) and LLM eval/observability platforms, or a real eagerness to build depth ...

Familiarity with LLM red-teaming and adversarial testing tooling (e.g., Garak, PyRIT, Rebuff, Lakera Guard, or equivalent) and LLM eval/observability platforms, or a real eagerness to build depth ...

Familiarity with LLM red-teaming and adversarial testing tooling (e.g., Garak, PyRIT, Rebuff, Lakera Guard, or equivalent) and LLM eval/observability platforms, or a real eagerness to build depth ...

Familiarity with LLM red-teaming and adversarial testing tooling (e.g., Garak, PyRIT, Rebuff, Lakera Guard, or equivalent) and LLM eval/observability platforms, or a real eagerness to build depth ...

Familiarity with LLM red-teaming and adversarial testing tooling (e.g., Garak, PyRIT, Rebuff, Lakera Guard, or equivalent) and LLM eval/observability platforms, or a real eagerness to build depth ...

Familiarity with LLM red-teaming and adversarial testing tooling (e.g., Garak, PyRIT, Rebuff, Lakera Guard, or equivalent) and LLM eval/observability platforms, or a real eagerness to build depth ...

Lakera information

What is the difference between Lakera vs Data Engineer?

AspectLakeraData Engineer
Required CredentialsTypically requires knowledge of AI/ML, programming, and data managementRequires programming skills, SQL, and data architecture knowledge
Work EnvironmentFocuses on AI model deployment, data pipelines, and machine learning workflowsBuilds and maintains data pipelines, databases, and data warehouses
Industry UsageUsed in AI/ML-focused companies, tech startups, and data science teamsCommon in tech, finance, healthcare, and any data-driven industry

While both roles involve working with data, Lakera specializes in AI model deployment and machine learning workflows, whereas Data Engineers focus on building and maintaining data infrastructure. Understanding these differences helps in choosing the right career path or job search focus.

More about Lakera jobs

What cities are hiring for Lakera jobs?

Cities with the most Lakera job openings:

What states have the most Lakera jobs?

States with the most job openings for Lakera jobs include:

Infographic showing various Lakera job openings in the United States as of September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

NLP Architect (Security Architect

Houston, TX • On-site

Resource Consultings Services Inc
Recruiting and Staffing Services • 51 - 200 employees

Contractor

Re-posted 2 days ago


Job description

Role: NLP Architect (Security Architect)

Location: Houston, TX (Hybrid- 1 Week onsite only in a month)

Duration: 12+ month

Position Overview:

We are launching a critical initiative to design, scale, and safeguard our next-generation, LLM-powered customer experience (CX) ecosystem. We are seeking a high-caliber Principal AI & Security Architect to pioneer the deployment of production-grade conversational AI, advanced multi-agent workflows, and secure AI governance frameworks. This role sits at the unique intersection of cutting-edge Generative AI development and enterprise-grade cybersecurity orchestration.

In this strategic, hands-on role, you will dictate the future architectural roadmap of our global contact center platforms—fusing GraphRAG systems, vector intelligence networks, and advanced threat detection paradigms to deliver hyper-personalized, context-aware, and highly trusted customer interactions.

Core Qualifications Required:

  • 12+ years of progressive expertise in Enterprise AI Architecture, NLP, Distributed Computing, or complex ML Systems.
  • 5+ years of dedicated, hands-on experience architecting production-level Generative AI and LLM platforms.
  • Mandatory Core Stack & Tooling: Hand-on proficiency with Weaviate, Lakera, Orca Security, OWASP for LLMs, YARA, and MITRE ATT&CK.
  • Advanced Architecture Mastery: Proven execution of GraphRAG frameworks (beyond baseline RAG), Multi-Agent orchestration, RLHF alignment/tuning paradigms, and distributed training/inference.
  • Programming & Core Infrastructure: Elite coding skills in Python, Scala, or Java.
  • Framework Ecosystem: Deep familiarity with PyTorch, TensorFlow, LangChain, Hugging Face Transformers, or equivalent AI middleware.
  • Strong background building and scaling production-grade AI applications within distributed cloud environments.

Education & Target Assets:

• Preferred: Master’s degree or Ph.D. in Artificial Intelligence, Computer Science, Machine Learning, Cybersecurity, or an equivalent technical field.

• Highly valued: Verified credentials or specialized project portfolios highlighting vector database scaling, prompt security firewalls, and LLM penetration testing.

Key Focus Areas:

• NLP

• GraphRAG

• Orca Security

• Lakera

• OWASP

• MITRE ATT&CK or Yara

• PyTorch, LangChain, or TensorFlow

• Python, Scala, or Java