Top 532 Hallucination hybrid Jobs

Enterprise Data Security Architect
Resolution Technologies —Duluth, GA
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- Health savings account
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14d
Senior AI Developer
myDNA, Inc. —Houston, TX
- Full-time
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Manager, IT Security & AI Enablement
Prologis —Denver, CO
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New Balance —Brighton, MA
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GenAI Context Engineer
CGI Group, Inc. —Pittsburgh, PA
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Senior Research Director - Center for Responsible AI in Learning and Assessment
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AI Engineer III HYBRID
RealPage, Inc. —Richardson, TX
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Ancestry.com —Remote
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OpenAI —San Francisco, CA
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KETTERER BROWNE & ASSOCIATES LLC —Bel Air, MD
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Thomson Reuters —New York, NY
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AI Evaluation Subject Matter Expert
Foxhole Technology —Charleston, SC
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Enterprise Data Security Architect

Resolution Technologies -
Duluth, GA

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Job Details

14 days ago

Benefits

Health savings account
Disability insurance
Health insurance
Dental insurance
Flexible spending account
Tuition reimbursement
Vision insurance
401(k) matching
Benefits from day one
Volunteer time off

Qualifications

Data lake
Security classification
Security compliance frameworks implementation
Data classification
Regulatory Frameworks (Architecture security)
Data security architecture

Full Job Description

Enterprise Data Security Architect

The Cybersecurity Security Architect serves a significant role in strategic planning, product design, and solution testing. The position is instrumental in leading the evaluation of technology acquisitions and managing integrations for the company's technology acquisitions. The architect must have extensive knowledge of multiple disciplines/environments as they will be considered a subject matter expert across the enterprise. The role will serve as a leader and guide on projects, providing frameworks, architecture documents, emerging technologies, enterprise data programs, sample application code, and adherence to enterprise standards.

Enterprise Data Security Architect Responsibilities & Qualifications

Enterprise Data Security Architect Minimum requirements

Defining overarching security reference architectures, patterns, standards, and blueprints that align with business objectives while incorporating secure-by-design strategies.
Design controls to mitigate AI-specific risks: prompt injection, data poisoning, model inversion/extraction, adversarial attacks, hallucination exploitation, supply-chain attacks on models/datasets, and agentic/multi-agent system vulnerabilities.
Define secure patterns for generative AI deployments including RAG architecture, vector databases, LLM gateways, output filtering, guardrails, red-teaming processes, and responsible AI governance.
Lead threat modeling using frameworks such as MITRE ATLAS, OWASP, NIST AI RMF, etc.
Architect and support enterprise data security controls: classification, encryption (at-rest, in-transit, in-use), data loss preventions (DLP), data security posture management (DSPM), access governance, and tokenization.
Secure big data / analytics environments (data lakes, warehouses, feature stores, model registries) and ensure lineage, provenance, and integrity in data use.
Collaborate with data engineering teams to embed privacy-preserving techniques (differential privacy, federated learning, secure multi-party computation) where appropriate.
Command the ability to properly assess security architecture against regulatory requirements and frameworks.

Enterprise Data Security Architect Preferred requirements

This position would require 10 years of security architecture or senior security engineering experience as previously described.
3+ years of direct experience securing AI/MK/GenAI systems, data science platforms, or large-scale data environments
CISSP, CCSP, and CISM highly preferred
NIST Cybersecurity Framework practical experience is required
SABSA or TOGAF framework experience is also preferred.
Deep knowledge of modern cloud security (Azure, AWS, GCP), container/kubernetes security, and zero-trust principles.
Strong understanding of AI/ML concepts: model lifecycle, training/inference pipelines, embeddings, RAG, agents, fine-tuning, and common attack vectors.
Proven track record performing threat modeling and risk assessments for both traditional systems and AI workloads.
This person would specifically also understand how to deploy and manage security tech such as DLP (Data Loss Prevention), SIEM systems (e.g., Splunk, ELK), tokenization/masking, and compliance frameworks (GDPR, HIPAA, SOC 2).
This person would specifically also understand how to lead Incident Response activities such as monitoring for anomalies, investigating breaches, and lead recovery efforts while minimizing data exposure.
If requested, provide some indirect or matrix supervisory responsibility as a project manager, although this does not mean formal supervision of team members (e.g., the position doesn’t complete performance evaluations, hire or terminate)

Hybrid Role
Location: Duluth, GA

Enterprise Data Security Architect Our Benefits:

Day one health, dental, and vision insurance
401(k) Plan with competitive employer match
Vacation, sick, holiday and volunteer time off
Life and disability insurance
Flexible Spending Account & Health Savings Account
Professional development
Tuition reimbursement
Company-sponsored social and philanthropy events

#RT
#DICEJOBS

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