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Remote Physical Security Engineer Jobs in Remote, OR

Head of AI

OR · On-site +1

... engineering rigor, responsible AI, collaboration, and continuous learning. • Governance, security ... Remote or hybrid within North America; may require proximity to major client hubs. * Travel ...

Head of AI

OR · Remote

... engineering rigor, responsible AI, collaboration, and continuous learning. Governance, security ... Remote or hybrid within North America; may require proximity to major client hubs. * Travel ...

Manager Implementation

OR · Remote

$105K - $141K/yr

... security, and resilience matter. This is a high accountability environment where bold ideas drive ... Collaborate with Architecture & Engineering and IP & Voice Ops on architectural and configuration ...

Azure Databricks Admin

OR · On-site +1

$51.50 - $64/hr

... physical architecture. • Resolve issues and provide technical assistance on the Azure cloud ... Cloud security strategies, policies, procedures, and documentation • Configure VMs and Web ...

Data Scientist

OR · On-site +1

We deliver tailored solutions, tested leadership, and trusted results to enable national security ... Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing.

Presto Admin

OR · On-site +1

... physical architecture. • Resolve issues and provide technical assistance on the Azure cloud ... Cloud security strategies, policies, procedures, and documentation • Configure VMs and Web ...

Senior Data Scientist

OR · Remote

$84K - $112K/yr

... security, and resilience matter. This is a high accountability environment where bold ideas drive ... What We Look For in a Candidate 3-5 years of experience in data science, data engineering ...

Subcontracts Manager

OR · On-site +1

$115K - $165K/yr

... providing Engineering & Research, Cyber, C5ISR, Program & Acquisition Management services and ... Remote (US Only) The Description: The Subcontracts Manager is responsible for the management ...

Subcontracts Manager

OR · On-site +1

$115K - $165K/yr

... providing Engineering & Research, Cyber, C5ISR, Program & Acquisition Management services and ... Remote (US Only) The Description: The Subcontracts Manager is responsible for the management ...

Lead Partner Operations Manager

OR · Remote

$84K - $112K/yr

... security, and resilience matter. This is a high accountability environment where bold ideas drive ... Benefits Bonus Structure #LI-Remote Requisition #: 342957 Life at Lumen Life at Lumen is human and ...

Sr. Microsoft Alliance Manager

OR · Remote

$132K - $176K/yr

... security, and resilience matter. This is a high accountability environment where bold ideas drive ... Benefits Bonus Structure #LI-remote #LIPost-KS1 Requisition #: 342777 Life at Lumen Life at Lumen ...

Showing results 41-60

Remote Physical Security Engineer information

See Remote, OR salary details

$61.4K

$152.6K

$205.3K

How much do remote physical security engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote physical security engineer in Remote, OR is $152,623.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,900.00 and $158,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote physical security engineer, and why are they important?

To thrive as a Remote Physical Security Engineer, you need expertise in physical security systems, risk assessment, and a background in engineering or security management, often supported by certifications like PSP (Physical Security Professional). Familiarity with security management software, access control systems, video surveillance technologies, and remote monitoring tools is typically required. Strong analytical thinking, problem-solving, and effective communication skills help distinguish top performers in this role. These skills and qualities are crucial for designing, implementing, and maintaining effective security measures that protect assets and people, even from a remote setting.

How does a remote physical security engineer effectively collaborate with on-site teams to address security concerns?

As a Remote Physical Security Engineer, you will frequently coordinate with on-site security staff, facility managers, and IT teams using video conferencing, remote monitoring tools, and digital documentation. Regular virtual meetings and clear communication protocols are essential to ensure that security system installations, upgrades, and incident responses are executed smoothly. While you may not be physically present, building strong relationships and establishing trust with on-site personnel is key to effectively addressing security vulnerabilities and implementing solutions. Remote engineers often leverage detailed site plans, surveillance feeds, and real-time data to guide and support on-the-ground teams.

What is the difference between Remote Physical Security Engineer vs Physical Security Technician?

AspectRemote Physical Security EngineerPhysical Security Technician
CertificationsSecurity+, CPP, CISMOSHA, SIA
Work EnvironmentRemote, office-based, or site visitsOn-site, security installations and maintenance
Employer & Industry UsageSecurity firms, corporations, government agenciesSecurity service providers, installation companies
Job FocusDesigning security systems, risk assessment, remote monitoringInstalling, maintaining, troubleshooting physical security hardware

The Remote Physical Security Engineer primarily focuses on designing and managing security systems remotely, requiring technical certifications and strategic planning. In contrast, the Physical Security Technician handles on-site installation and maintenance of security hardware. Both roles are essential in the security industry but differ in work environment and responsibilities.

What is a remote physical security engineer?

A Remote Physical Security Engineer is a professional who designs, implements, and manages physical security systems like access control, surveillance cameras, and alarm systems from a remote location. They often work with on-site teams to ensure all security measures are properly installed and maintained. Their responsibilities may include conducting risk assessments, troubleshooting issues, and providing ongoing support and upgrades to security infrastructure. By working remotely, they leverage technology to monitor systems, analyze data, and respond to incidents without being physically present at the facility.

What are the most commonly searched types of Physical Security Engineer jobs in Remote, OR?

The most popular types of Physical Security Engineer jobs in Remote, OR are:

What are popular job titles related to Remote Physical Security Engineer jobs in Remote, OR?

For Remote Physical Security Engineer jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Remote Physical Security Engineer jobs in Remote, OR look for?

The top searched job categories for Remote Physical Security Engineer jobs in Remote, OR are:

Infographic showing various Remote Physical Security Engineer job openings in Remote, OR as of August 2026, with employment types broken down into 83% Full Time, 3% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $152,623 per year, or $73.4 per hour.

Head of AI

Atos

OR • On-site, Remote

Full-time

Re-posted 7 days ago


Job description

About Atos Group
Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.
The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
Position : Head of Artificial Intelligence
Role Summary
The Head of Artificial Intelligence Practice (North America) leads strategy, growth, delivery excellence, and talent for the AI portfolio across U.S. and Canada. This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI platforms, MLOps), and partners with sales and delivery leaders to expand revenue and customer impact across industries.
Reporting and Scope
  • Reports to: Head of Data & AI - North America
  • Direct reports: AI practice leadership team (solution leads, delivery leaders, architects), plus dotted-line matrix teams
  • Geography: United States and Canada (remote/hybrid depending on location)
  • Travel: Up to 25-40% (client sites, executive briefings, industry events)

Key Responsibilities
• Practice strategy and roadmap
    • Define the North America AI practice strategy aligned to corporate goals and market demand.
    • Build and maintain a 12-24 month capability roadmap across GenAI, Agentic AI, applied ML, AI engineering, MLOps, and AI governance.
    • Identify strategic bets (industries, partnerships, platforms) and prioritize investments for impact and scale.
    • Lead the delivery team for AI across NA including building and managing talent and ensuring ulitization targets for the team

• Portfolio, offerings, and thought leadership
    • Support Head of Advisory and Global Teams with packaged offerings and accelerators (POCs-to-production playbooks, reference architectures, reusable components).
    • Work with Head of Innovation industry-specific solutions (e.g., banking, retail, healthcare, telecom, public sector) with measurable outcomes.
    • Represent the company externally through speaking, publishing, analyst briefings, and customer success stories.

• Go-to-market and revenue growth
    • Own pipeline and bookings targets for AI services in North America; partner with sales, alliances, and marketing.
    • Help Represent the solutioning for strategic pursuits, including executive-level proposal narratives, value cases, and pricing models.
    • Help support the partner ecosystem with hyperscalers and AI platform vendors; drive co-sell motions where applicable.

• Delivery excellence and customer outcomes
    • Ensure high-quality delivery across AI engagements, with strong governance, risk management, and stakeholder communication.
    • Standardize delivery methodology for AI programs (discovery, prototyping, productionization, monitoring, continuous improvement).
    • Drive customer adoption, measurable business value, and referenceability through disciplined success management.

• Talent, org design, and culture
    • Build and scale a high-performing AI team: hiring plans, skills frameworks, career paths, and mentorship.
    • Upskill broader delivery teams through training programs, communities of practice, and internal enablement.
    • Foster a culture of engineering rigor, responsible AI, collaboration, and continuous learning.

• Governance, security, and responsible AI
    • Establish responsible AI standards (privacy, security, bias mitigation, explainability, model risk management).
    • Partner with security, legal, and compliance teams to ensure AI solutions meet client and regulatory requirements.
    • Define and monitor AI practice quality standards, including data governance, model lifecycle controls, and audits.

• Financial management and operations
    • Help support the Head of Data and AI P&L: revenue, gross margin, utilization, bench, subcontractor mix, and investment planning.
    • Set operating rhythm: QBRs, forecast accuracy, capacity planning, and delivery health dashboards.
    • Optimize delivery model (onshore/nearshore/offshore) to meet client needs and margin targets.

Required Qualifications
  • 15+ years of experience in technology consulting, product engineering, or enterprise technology leadership, with 8+ years in AI/ML/GenAI leadership.
  • Proven track record building and scaling an AI practice or portfolio with P&L responsibility and measurable revenue growth.
  • Strong understanding of modern AI stack: GenAI (LLMs), Agentic AI, ML, data engineering, AI platforms, MLOps/LLMOps, and cloud services (AWS/Azure/GCP).
  • Demonstrated experience delivering AI solutions end-to-end: discovery to production, monitoring, and continuous improvement.
  • Executive presence with ability to influence EVP-level stakeholders and lead complex deal pursuits.
  • Experience leading multi-disciplinary teams (AI Architects, AI Engineers, data scientists, ML engineers, architects, product managers, delivery leaders).
  • Knowledge of responsible AI, security, and privacy requirements for enterprise AI implementations.

Preferred Qualifications
  • Experience in IT services/consulting organizations operating with global delivery models (onshore/nearshore/offshore).
  • Domain expertise in one or more regulated industries (financial services, healthcare, telecom, government).
  • Partnership experience with hyperscalers and AI platform vendors; co-sell and alliance management success.
  • Hands-on experience with AI solution architecture, including retrieval-augmented generation (RAG), vector databases, and agentic workflows.
  • Advanced degree in Computer Science, Engineering, Data Science, or related field; MBA a plus.

Core Competencies
  • Strategic leadership and business building
  • Consultative selling and executive stakeholder management
  • AI engineering rigor and delivery governance
  • Productization mindset (offerings, accelerators, repeatability)
  • Talent development and organizational design
  • Cross-functional collaboration in matrix environments
  • Strong communication: narrative building, proposals, and presentations

Tools and Technologies (Representative)
  • Cloud: AWS, Microsoft Azure, Google Cloud Platform
  • AI/ML: Agentic AI, Python, PyTorch/TensorFlow, scikit-learn, MLflow (or equivalent), feature stores
  • GenAI: LLM APIs and platforms, prompt engineering, RAG patterns, evaluation frameworks, guardrails
  • Data: SQL, modern data warehouses/lakehouse platforms, streaming where needed
  • MLOps/LLMOps: CI/CD for models, monitoring/observability, model registry, governance tooling

Work Environment
  • Remote or hybrid within North America; may require proximity to major client hubs.
  • Travel expectation up to 25-40% based on client needs and business development cycles.
  • This role may require occasional work outside standard business hours to support executive meetings across time zones.

Equal Opportunity
The organization is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
Choose your future. Choose Atos.