CrawlJobs Logo

Executive Response Team Agent

aus.com Logo

Allied Universal®

Location Icon

Location:
United States , Tulsa

Category Icon
Category:
-

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

50.00 USD / Hour

Job Description:

We are looking for experienced Executive Protection Agents to join a new EP Program in Tulsa, OK. Candidates with backgrounds in law enforcement, military, and corporate security are highly encouraged to apply. We are looking for EP Agents with corporate security response experience and knowledge. Will be positioned at a desk near the executive wing and ready for an emergency if needed, active threat, emergency and medical. Candidates must have experience in providing close protection support, executive driving, and emergency response. Medical training is highly preferred as well as experience building EP/Security programs. This role will have a lot of communication with executives, so professionalism is a must. Shifts will be Monday through Friday, 9am to 5pm. Hours may change as the program develops.

Job Responsibility:

  • Keeping the principal(s) safe by providing close protection
  • Working in a dynamic and rapidly changing environment
  • Multi-tasking, prioritizing and completing tasks in an organized, efficient and effective manner
  • Safeguarding and maintaining highly sensitive and confidential information
  • Safeguarding individuals and property from all forms of security and safety hazards
  • Transporting the principal(s) in designated vehicles in a safe, professional and efficient manner
  • Responding to alarms/fire/panic calls immediately and promptly securing the safety and security of human life and physical property
  • The ability to work irregular or extended hours with an ever-changing schedule
  • Conducting thorough investigations and preparing written documentation regarding non-routine incidents with reports, pictures and witness statements

Requirements:

  • Minimum of 3 years of full-time executive protection experience in a dynamic program (embedded program experience preferred)
  • Relevant security and/or close protection experience to include government, law enforcement, military and/or private security
  • Law enforcement (Task Force, SWAT, SRT), military Special Operations, and/or High Threat Security operations is preferred
  • Valid driver’s license and a clean driving record
  • OK Armed License under CLEET for plain clothes work and the ability to obtain additional licenses/certifications as needed

Nice to have:

  • Advanced medical training is preferred
  • Medical training is highly preferred
  • Experience building EP/Security programs
What we offer:
  • Medical/Dental/Vision coverage
  • Free employee life insurance
  • Paid employee training and development
  • 401K
  • Employee assistance programs
  • Paid holidays and flexible PTO (Paid Time Off)
  • Career advancement opportunities
  • Great company culture and work/life balance

Additional Information:

Job Posted:
January 26, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Executive Response Team Agent

Senior Software Engineer

When AI traffic scales, network operations must scale faster—and that’s exactly ...
Location
Location
United States , Multiple Locations
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, OR Java, JavaScript, or Python
  • OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Works with appropriate stakeholders (network engineers, NOC/DRIs, and partner teams) to determine requirements for agentic scenarios that replace manual network operations and reduce operational bottlenecks at scale
  • Contributes to the identification of dependencies (tools, APIs, data sources, and operational processes) and develops design documents for agent-driven workflows and services with little oversight, ensuring they can be deployed safely in production
  • Creates and implements code for production services and agent workflows, reusing code as applicable, to automate repetitive and routine DRI workloads and modernize execution paths that are currently manual/vendor-dependent
  • Breaks down larger agent scenarios into smaller deliverables (capabilities, workflow steps, tooling integrations) and provides estimation, enabling iterative shipping of new operational coverage over time
  • Acts as a Designated Responsible Individual (DRI) and participates in on-call to monitor services and agent-driven features for degradation or downtime, following playbooks and initiating mitigation actions to restore service health for supported scenarios
  • Improves reliability, observability, and operational efficiency by staying current with developments that strengthen monitoring and operations at scale—specifically to support the shift from human-only execution to agentic execution as network growth accelerates
  • Partners with cross-functional teams to drive adoption and execution quality, helping ensure the agent meaningfully reduces manual effort and scales operations sustainably as the network grows with AI workloads
  • Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale
  • Fulltime
Read More
Arrow Right

Software Engineer II

When AI traffic scales, network operations must scale faster—and that’s exactly ...
Location
Location
United States , Multiple Locations
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Job Responsibility
Job Responsibility
  • Works with appropriate stakeholders (network engineers, NOC/DRIs, and partner teams) to determine requirements for agentic scenarios that replace manual network operations and reduce operational bottlenecks at scale.
  • Contributes to the identification of dependencies (tools, APIs, data sources, and operational processes) and develops design documents for agent-driven workflows and services with little oversight, ensuring they can be deployed safely in production.
  • Creates and implements code for production services and agent workflows, reusing code as applicable, to automate repetitive and routine DRI workloads and modernize execution paths that are currently manual/vendor-dependent.
  • Breaks down larger agent scenarios into smaller deliverables (capabilities, workflow steps, tooling integrations) and provides estimation, enabling iterative shipping of new operational coverage over time.
  • Acts as a Designated Responsible Individual (DRI) and participates in on-call to monitor services and agent-driven features for degradation or downtime, following playbooks and initiating mitigation actions to restore service health for supported scenarios.
  • Improves reliability, observability, and operational efficiency by staying current with developments that strengthen monitoring and operations at scale—specifically to support the shift from human-only execution to agentic execution as network growth accelerates.
  • Partners with cross-functional teams to drive adoption and execution quality, helping ensure the agent meaningfully reduces manual effort and scales operations sustainably as the network grows with AI workloads.
  • Fulltime
Read More
Arrow Right

Distinguished Engineer- AI Agentics Engineering

At CVS Health, we’re building a world of health around every consumer and surrou...
Location
Location
United States , Woonsocket
Salary
Salary:
175100.00 - 334750.00 USD / Year
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
March 31, 2026
Flip Icon
Requirements
Requirements
  • 15+ years of Software Engineering experience required
  • 7+ years in AI/ML engineering with 3+ years specifically in agentic AI or autonomous systems
  • Proven experience building multi-agent systems from scratch (not just fine-tuning existing models)
  • Deep expertise in: Multi-agent system architectures: Actor model frameworks, distributed consensus protocols, agent communication standards (FIPA-ACL, KQML, MCP, A2A), and coordination patterns (hierarchical, peer-to-peer, marketplace-based)
  • LLM Integration Platforms: OpenAI API, Anthropic Claude API, Azure OpenAI Service, Google Vertex AI, and on-premises LLM deployment (vLLM, TensorRT-LLM, Ollama)
  • Agentic Frameworks: LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, and custom agent runtime environments
  • Tool-using AI Systems: Function calling implementations, API integration patterns, IDE (Cursor, Windsurf), Notebooks (Jupyter), tool selection algorithms, and sandbox execution environments for safe tool usage
  • Agent Orchestration Platforms: Kubernetes-based agent deployment, Apache Airflow for agent workflows, Temporal for durable agent executions, Agentspace, and event-driven architectures (Apache Kafka, RabbitMQ)
  • Vector Databases & Knowledge Systems: Pinecone, Weaviate, Chroma, Qdrant for agent memory systems, and knowledge graph technologies (Neo4j, Amazon Neptune, Apache Jena)
  • Real-time Inference Infrastructure: NVIDIA Triton Inference Server, Ray Serve, TorchServe, and streaming architectures for sub-100ms agent response times
Job Responsibility
Job Responsibility
  • Strategic Agentic Architecture & Design: Drive the end-to-end architecture for highly scalable, multi-agent systems that can operate autonomously across complex enterprise workflows
  • Partner with other Principal Engineers, AI Architects, and executive leadership to shape the long-term agentic roadmap
  • Champion best practices for agent reliability, interpretability, safety, and performance optimization
  • Agent Platform Development & Orchestration: Oversee the design and development of new AI agent platforms from the ground up
  • Implement robust agent lifecycle management, including spawning, monitoring, termination, and inter-agent communication protocols
  • Foster an engineering culture that values agent autonomy, emergent intelligence, and continuous learning capabilities
  • Multi-Agent Systems & Emerging AI Technologies: Provide thought leadership on how multi-agent systems, large language models, and reinforcement learning create unique demands on infrastructure
  • Understand how to move AI agents from proof-of-concept to production-ready autonomous systems
  • Evaluate and recommend emerging agentic technologies and guide their integration into the broader technology stack
  • Cross-Functional Leadership & AI Mentoring: Serve as a key technical advisor for C-level executives and product leaders
What we offer
What we offer
  • Affordable medical plan options
  • 401(k) plan (including matching company contributions)
  • Employee stock purchase plan
  • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
  • Paid time off
  • Flexible work schedules
  • Family leave
  • Dependent care resources
  • Colleague assistance programs
  • Tuition assistance
  • Fulltime
Read More
Arrow Right

Senior Product Manager – AI & Extensibility

Trimble’s Project Delivery solutions, such as Trimble ProjectSight and Trimble M...
Location
Location
United States , Westminster
Salary
Salary:
144584.00 - 195252.00 USD / Year
trimble.com Logo
Trimble Inc.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in a relevant field such as Computer Science, Engineering, Business, or related discipline
  • 7+ years of experience in product management, ideally in B2B/Enterprise SaaS software, with a strong foundation in technical product management
  • Proven experience defining and executing multi-year product strategies for complex, technical platforms or ecosystems
  • Deep technical fluency and a strong working knowledge of modern AI technologies, including large language models, prompt engineering, data organization, and agentic frameworks (e.g., LangChain, MCP)
  • Demonstrable experience leading API-driven products, developer platforms, or integration ecosystems
  • Ability to lead and influence in a highly matrixed organization, aligning multiple product teams and stakeholders around a common vision without direct authority
  • Exceptional communication and presentation skills, with the ability to articulate complex technical concepts and strategic vision to both engineering teams and senior executives
  • Proven ability to lead teams through ambiguity, bringing structure, clarity, and energy to new, complex domains
  • Experience mentoring, training, or leading other product managers or technical teams
  • Relentless curiosity and a growth mindset. Actively seeks out and learns new technologies, frameworks, and methods to stay at the forefront of what’s possible
Job Responsibility
Job Responsibility
  • Define and own the long-term strategy and category-wide roadmap for AI and Extensibility initiatives within the Project Delivery business
  • Champion the strategic vision across the organization, influencing other product leaders, engineering teams, and executives to align on a unified strategy
  • Act as a Product team leader, mentoring other Product Managers and guiding the engineering team's focus from strategy through execution
  • Establish and track category-level success metrics for AI adoption, platform usage, and ecosystem health, reporting progress to senior leadership
  • Partner with Trimble's central AI platform teams to drive the integration of our AI Agentic Platform into Project Delivery solutions
  • Collaborate with product teams across the category to standardize AI capabilities (e.g., intelligent assistants, document understanding, summarization), ensuring a consistent UX and technical architecture
  • Envision and define new AI-driven workflows that connect disparate products, redefining how users interact with our solution suite
  • Guide the application of responsible AI practices across all teams, ensuring transparency, privacy, and reliability are core tenets of our strategy
  • Own the strategic roadmap for the Project Delivery developer ecosystem, including APIs, SDKs, and integration frameworks
  • Defining the technical and product strategy for extensibility efforts are future-proofed for agentic-first workflows (e.g., standardized MCP-wrapped APIs)
What we offer
What we offer
  • Medical, Dental, Vision, Life, Disability, Time off plans and retirement plans
  • Tax savings plans for health, dependent care and commuter expenses
  • Paid Parental Leave
  • Employee Stock Purchase Plan
  • Bonus eligibility
  • Fulltime
Read More
Arrow Right

Enterprise AI Architect

The Enterprise AI Architect proactively and holistically works with enterprise d...
Location
Location
United States
Salary
Salary:
118100.00 - 212500.00 USD / Year
healthfirst.org Logo
Healthfirst
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s or bachelor’s degree in business, computer science, engineering, systems analysis, or related field, or equivalent experience
  • Minimum of two years of design and implementation experience in IT, including deep knowledge of AI/ML frameworks, AI development environments, cloud platforms, and big data technologies
  • Minimum of two years of experience in solution architecture development and delivery, including business architecture interpretation
  • Experience designing or implementing agent-based AI systems, autonomous agents, multi-agent orchestration, or workflow‑integrated AI components
  • Working knowledge of business process management (BPM), process modeling, and translating processes into agent-oriented workflows
  • Understanding of A2A communication principles, MCP-based tool integration, and foundational agent governance concepts
  • High School diploma or GED from an accredited institution
Job Responsibility
Job Responsibility
  • Collaborates with all delivery programs to assess solution requirements, evaluate AI/ML technologies, and support model/vendor selection
  • Provides architectural guidance to business domain aligned delivered programs by defining and designing AI‑enabling technologies that support business capabilities, processes, and enterprise initiatives
  • Supports design and governance of enterprise agentic AI architectures, including autonomous agents, multi‑agent systems, A2A communication patterns, and agent orchestration frameworks
  • Leads integration of Model Context Protocol (MCP) to standardize tool, service, and data access across agents, ensuring secure, auditable, and consistent interactions
  • Architects and operationalizes an enterprise Agentic Control Plane (ACP) to manage agent lifecycle, permissions, safety constraints, observability, escalation pathways, and runtime governance
  • Recommends business processes modernization options using business process management (BPM) and process mining methodologies to support agent-driven or multi‑agent execution
  • Supports delivery teams in implementing AI solution architectures aligned with enterprise reference architecture, security requirements, and governance protocols
  • Stays current with developments in AI research, agentic systems, orchestration frameworks, LLM methodologies, and emerging enterprise AI technologies
  • Conducts technology-neutral due diligence to evaluate AI platforms, agent frameworks, MCP compatibility, ACP infrastructure, and enabling tools
  • Partners with business stakeholders and delivery leaders to deliver architectural runway for highly composable AI and agent capabilities
What we offer
What we offer
  • medical, dental and vision coverage, incentive and recognition programs, life insurance, and 401k contributions
  • Fulltime
Read More
Arrow Right

Principal Product Manager

AgentX Support is Workato’s flagship AI-native engine designed to transform cust...
Location
Location
United States , Palo Alto
Salary
Salary:
Not provided
workato.com Logo
Workato
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of product management experience in enterprise software
  • Demonstrated success building 0-to-1 products or defining new market categories
  • Track record shipping ML/AI products to production (not just prototyping)
  • Experience with customer support platforms or CRM systems
  • Experience with real-time systems or high-throughput environments
  • Strong systems thinking and comfort designing across APIs, data, models, and workflows
  • Sufficient technical depth to partner effectively with engineering and AI research teams
  • Ability to operate effectively in ambiguous, fast-moving environments
  • Exceptional written and verbal communication skills, with executive-level presence
Job Responsibility
Job Responsibility
  • Define the vision and long-term strategy for AI-native, agentic customer support
  • Establish the product narrative and positioning that differentiates Workato in the customer service market
  • Represent Workato’s point of view with customers, partners, and industry stakeholders
  • Partner with design and marketing to translate product capabilities into clear customer value
  • Define how AI agents interpret intent, reason through complex customer issues, and determine when to act autonomously
  • Design orchestration frameworks that connect large language models with enterprise systems of record
  • Lead the development of workflows that enable AI agents to execute actions such as refunds, order modifications, and escalations
  • Ensure appropriate controls for safety, observability, compliance, and human-in-the-loop oversight at enterprise scale
  • Define the next-generation support agent workspace augmented by real-time AI guidance
  • Deliver systems that surface relevant context, recommendations, and next-best actions to human support agents during live customer interactions
What we offer
What we offer
  • Vibrant and dynamic work environment
  • Multitude of benefits they can enjoy inside and outside of their work lives
Read More
Arrow Right

Principal AI Architect

As a Principal AI Architect, you will define and drive the end-to-end Cloud + AI...
Location
Location
United States , Multiple Locations
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
  • Master's Degree in Computer Science, Engineering or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
  • 10+ experience in software engineering or solution architecture, with demonstrable success building and operating complex systems.
  • 10+ experience designing, implementing, and optimizing AI solutions encompassing data pipelines, model training and serving, and production MLOps.
  • 10 + years of full-stack development across frontend, backend, and cloud infrastructure, with a proficient command of data engineering, AI/ML systems, and deployment architectures.
  • 2+ project experience with NLP and LLM-based systems.
  • Proficient coding skills in C#, Python, JavaScript, and React.
Job Responsibility
Job Responsibility
  • Own the reference architecture and technical roadmap for WWL’s AI/Agentic platform capabilities (e.g., orchestration, tools/plugins, memory, retrieval, evaluation, observability, governance).
  • Translate skilling business objectives into platform investments and architectural decisions, balancing speed-to-value with security, compliance, cost, and long-term maintainability.
  • Establish clear architectural guardrails and decision frameworks (e.g., “build vs. buy,” “Copilot Studio vs. Foundry,” “RAG vs. fine-tune,” “central vs. federated patterns”).
  • Lead architecture/design reviews for major initiatives
  • drive alignment on system boundaries, contracts, dependency management, and resiliency.
  • Define and standardize architecture patterns (multi-tenant SaaS, event-driven architectures, secure data access, model routing, agent safety controls).
  • Create reusable templates, “golden paths,” and reference implementations to accelerate engineering delivery across teams and reduce fragmentation.
  • Embed Responsible AI principles into agentic solution design (human-in-the-loop, safety mitigations, evaluation, transparency, and auditability).
  • Partner with security and compliance stakeholders to ensure services meet required controls and operational standards, and to drive alignment between policy intent and implementation.
  • Define secure patterns for prompt/data handling, secrets management, identity, and access governance for AI systems.
  • Fulltime
Read More
Arrow Right

Regional Sales Manager

We are seeking a motivated and experienced Regional Sales Manager to expand MLA’...
Location
Location
Multiple , Brazil, Mexico, Colombia, Argentina, Ecuador
Salary
Salary:
Not provided
mlaworld.com Logo
Move Language Ahead
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Business, Marketing, Education, or a related field
  • Minimum of 5 years of sales experience in the education travel, ELT, or study abroad sector
  • Proven success in developing and expanding B2B/agent partnerships in LATAM
  • Established network of education agents in the region highly desirable
  • Strong interpersonal, negotiation, and presentation skills
  • Fluency in Spanish and English required
  • Portuguese is a strong advantage
  • Self-motivated, independent, and able to collaborate effectively with MLA’s global team
  • Willingness to travel extensively throughout Latin America to visit agents and attend events
Job Responsibility
Job Responsibility
  • Develop and execute a regional sales strategy focused on agent recruitment, retention, and growth
  • Build, strengthen, and manage MLA’s network of trusted education agents across Latin America
  • Provide agents with transparent programme details, pricing, and marketing resources to support enrolments
  • Deliver training and ongoing support to agents, ensuring they are confident in representing MLA
  • Represent MLA at international education workshops, trade fairs, and agent-focused events across the region
  • Serve as the first point of contact for regional agents, ensuring high levels of service, responsiveness, and problem-solving
  • Analyse agent performance, market trends, and regional feedback to guide MLA’s strategy and product development
  • Produce regular reports, sales forecasts, and market updates for senior management
What we offer
What we offer
  • Competitive salary with performance-based incentives
  • The opportunity to represent a well-established and trusted global junior programmes brand
  • Professional growth and career development within a rapidly expanding international company
  • A supportive, multicultural, and collaborative work environment
  • Fulltime
Read More
Arrow Right