Special Agent Job at U.S. Secret Service (Multiple locations)

New

CI Investigations Desk Officer

Amentum is a government services provider of strategic solutions to the defense,...

Location

United States , Fort Meade

Salary:

115000.00 USD / Year

Amentum

Expiration Date

Until further notice

Requirements

Must be a graduate of any of the following Military Department Counterintelligence Agent Certifying Courses: Army – Counterintelligence Special Agent Course (CISAC)
Army – 351L Course (or its predecessor)
Army – 35E Course (or its predecessor)
Air Force –Basic Special Investigators Course (BISC), U.S. Air Force Special Investigations Academy, or predecessor
Navy – Special Agent Basic Training Program (SABTB), Naval Criminal Investigative Service Training Academy, or predecessor
Minimum of 10 years’ experience as a credentialed Counterintelligence Special Agent
Must possess an understanding of CI investigations
Must possess a strong understanding of CI Flags
Must possess an understanding of Foreign Intelligence Entities (FIE) Tactical Technical Procedures (TTPs)

Job Responsibility

Shall integrate, manage, assess, and provide focused analysis in support of counterintelligence (CI) investigations and operations
Shall review and analyze reporting and case files related to CI investigations and produce analytical reviews
Shall conduct coordination among analytical elements of the Department of Defense (DoD), Intelligence and Security Command (INSCOM), Army Service Component Commands, other government agencies, and the Department of the Army (DA) for CI investigations matters
Shall conduct weekly, monthly, and quarterly operational briefings with Government Team/Branch/Division Chiefs
Shall review active and terminated investigations for vulnerabilities, leads, and trends and prepare them for retirement
Shall develop counterintelligence products as required

What we offer

Health, dental, and vision insurance
Paid time off and holidays
Retirement benefits (including 401(k) matching)
Educational reimbursement
Parental leave
Employee stock purchase plan
Tax-saving options
Disability and life insurance
Pet insurance

Fulltime

AI Research Engineer - Reinforcement Learning

At Helsing we deliver AI-based capabilities and the enabling infrastructure that...

Location

Germany , Munich

Salary:

Not provided

Helsing

Expiration Date

Until further notice

Requirements

Hold MSc in machine learning with a speciality in either reinforcement learning, multi-agent systems, automation and control, or robotics
Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally
Are passionate about keeping up-to-date with current research and enjoy reimplementing / extending papers on state-of-the-art Deep Learning-based approaches
Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring

Job Responsibility

Design, train and deploy agents in complex multi-agent environments
Contribute to our reinforcement learning stack by implementing, improving and extending the current state of the art in multi-agent reinforcement learning
Be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems

What we offer

Competitive compensation and stock options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe
A hands-on onboarding program (affectionately labelled “AI-duction”), in which you will be familiarising yourself with our tools and ML pipelines used across the company

Fulltime

New

Special Agent

Joining the Secret Service as a Special Agent will allow you to perform critical...

Location

United States

Salary:

48854.00 - 118204.00 USD / Year

U.S. Secret Service

Expiration Date

March 31, 2026

Requirements

U.S. citizenship is required
Possess a current valid driver's license. Must be REAL ID compliant
Must be at least 21 years old at the time of application and under 40 at referral
Submit to a drug test prior to appointment and random drug testing
Obtain and retain a Top-Secret Clearance
This position requires an automatic credit check
Carry and use a firearm. Maintaining firearm proficiency is mandatory
Complete intensive 13-week training at FLETC in Glynco, GA, followed by 18-week training at James J. Rowley Training Center in Laurel, MD
Sign a mobility agreement stating willingness to accept assignments anywhere within the United States and overseas
Must have uncorrected vision of at least 20/100, correctable to 20/20 in each eye

Job Responsibility

Conducting complex criminal investigations into financial crimes, including counterfeiting, cyber fraud, and other threats to the financial infrastructure of the United States
Providing physical protection for the President, Vice President, their families, visiting foreign dignitaries, and other protectees
Designing, planning, and implementing advanced security measures for National Special Security Events (NSSEs), such as presidential inaugurations, international summits, and other high-profile events

What we offer

Law Enforcement Availability Pay (LEAP) which is an additional compensation of 25% of the basic rate of pay

Fulltime

Nurse Manager, Inpatient

The Nurse Manager, Inpatient Oncology, oversees daily patient flow and clinical ...

Location

United States , Boston

Salary:

170000.00 - 182500.00 USD / Year

Dana-Farber Cancer Institute

Expiration Date

Until further notice

Requirements

Bachelor's degree required
Registered Nurse with 3 years experience in health care, and entry level leadership
Licensed as a Registered Nurse in the Commonwealth of Massachusetts and or New Hampshire as applicable
Critical thinking, collaboration and excellent communication skills
Clinical expertise within the care of the oncology and hematology patient population, including but not limited to management of patients receiving anticancer agents and blood products
Demonstrates understanding of special needs and behaviors of age groups of the population served

Job Responsibility

Collaboration and Multidisciplinary Engagement
Systems Thinking and Patient Flow Management
Personnel Management and Advocacy
Clinical Inquiry and Quality Improvement
Clinical Judgment and Expertise
Facilitator of Learning and Professional Development

Fulltime

New

Enterprise AI Azure Software Development Architect

The Azure AI Software Development Architect is responsible for designing, engine...

Location

United States , Jacksonville

Salary:

Not provided

Baptist Health (Florida)

Expiration Date

Until further notice

Requirements

High School Diploma/GED
Minimum 8 years of related experience
2–5+ years of professional software engineering experience with a strong background in C#/.NET
Experience designing, building, or contributing to AI/ML systems, including chatbots, AI agents, RAG-based applications, or similar solutions (Preferred)
Experience with DevOps, MLOps, or LLMOps practices, including CI/CD pipelines and cloud-based deployments (Preferred)
Demonstrated ability to rapidly learn and adopt new technologies in dynamic, fast-paced environments
Experience with Microsoft Semantic Kernel, enterprise Agent Frameworks, or comparable AI agent orchestration platforms (Preferred)
Experience building MCP servers or implementing similar tool-integration and extensibility patterns (Preferred)

Job Responsibility

Work closely with business and all IT teams, approve, and reconcile strategic architecture goals with the current state implementations
Drive architectural excellence across the Microsoft Azure ecosystem by defining and governing directives, principles, guidelines, and best practices
Recommend iterative paths towards the adoption of strategic architecture goals
Hands-on technologist with significant experience in architecture and engineering of hybrid Microsoft infrastructure platforms and services, including development of Infrastructure as Code (IaC) best practices
Lead cultural change for cloud and automation adoption
Developing and coordinating cloud architecture with business, application, and engineering teams
Developing a cloud strategy and coordinating the adaptation processes
Assessing applications, software and hardware
Establish best practices for cloud across the company
Selecting cloud providers and vetting third-party services

What we offer

Competitive pay & comprehensive benefits packages
Opportunities for professional growth & advancement
An exceptional employment experience where team members can bring their authentic selves and belong to a larger purpose together

Fulltime

AI Transformation Lead

This role calls for a technically strong leader who can comfortably bridge execu...

Location

United Kingdom

Salary:

85000.00 - 95000.00 GBP / Year

Fundraise Up

Expiration Date

Until further notice

Requirements

5+ years in strategy consulting or AI startups, within high-growth technology environments
Demonstrable experience of working with stakeholders to build and deliver an end to end AI strategy, transforming the performance of an overall business, team or workflow
Proven experience in technical builds and deployments
Deep experience driving organizational change and minimizing friction during the adoption of disruptive new technologies, specifically AI systems
Proven ability to execute complex, cross-functional initiatives with limited oversight and high accountability including managing workstreams, coordinating stakeholders, and measuring impact
Strong written and verbal communicator
able to convey updates, impact, and insights clearly and credibly to senior audiences
A practical, business-oriented approach — you're motivated by tangible outcomes, not just theoretical improvement

Job Responsibility

Design & Identification: Process Deconstruction: Lead in-depth workshops with stakeholders (e.g., Marketing, Legal, Finance) to conduct precise mapping of current workflows, identifying specific bottlenecks ripe for agentic automation
Blueprint Creation: Design the detailed future state architecture for departmental functions, explicitly defining the collaboration protocols and task handoffs between human roles and specialized AI agents
Defining Autonomy: Establish the technical and procedural governance models required for agent autonomy, specifically setting rules for decision rights, error escalation triggers, and critical human-in-the-loop oversight points
Technical Implementation & Build Strategy: Dual-Path Roadmap: Develop a detailed, twelve-month transformation roadmap that simultaneously delivers near-term, high-ROI AI solutions while defining the technical prerequisites for achieving fully autonomous agentic operations
Agent Architecture Design: Define precise technical requirements for scalable agent architecture, including the necessary reasoning frameworks, risk management systems, and knowledge retrieval interfaces required for complex decision-making
Build/Buy/Prioritize: Construct data-driven business cases for solutions, explicitly contrasting build vs. buy decisions and prioritizing implementations based on technical feasibility and quantified ROI models (e.g., time savings, cost reduction)
Solution Deployment and Enablement: End-to-End Build Capability: Serve as a hands-on technical lead capable of building, testing, and deploying both interim (e.g., RAG-based systems) and highly complex agentic AI solutions, working alongside AI Solution Engineers
Operational Scaling: Oversee the technical integration and scaling of deployed AI agents within specific operational workflows (e.g., automating specific GTM tasks), ensuring seamless deployment with rigorous validation testing
Curriculum Development: Design, author, and deliver all technical and operational training curricula (e.g., documentation, specialized workshops) required to rapidly transition end-users into effective collaborators with the newly deployed AI agents
Impact Verification: Implement robust tracking mechanisms, utilizing specific KPIs (e.g., agent task completion rate, decision accuracy, departmental throughput change) to measure and verify the deployed solutions' business impact and ROI

What we offer

31 days off
Company subsidized medical insurance
100% paid telemedicine plan
Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
English learning courses (50% reimbursement, up to $1,000 annually)
Relevant professional education (50% reimbursement, up to $1,500 annually)
Gym or swimming pool (50% reimbursement, up to $500 annually)
Co-working (up to $250 monthly)
Remote working

Fulltime

AI Transformation Lead

This role calls for a technically strong leader who can comfortably bridge execu...

Location

United States

Salary:

140000.00 - 150000.00 USD / Year

Fundraise Up

Expiration Date

Until further notice

Requirements

5+ years in strategy consulting or AI startups, within high-growth technology environments
Demonstrable experience of working with stakeholders to build and deliver an end to end AI strategy, transforming the performance of an overall business, team or workflow
Proven experience in technical builds and deployments
Deep experience driving organizational change and minimizing friction during the adoption of disruptive new technologies, specifically AI systems
Proven ability to execute complex, cross-functional initiatives with limited oversight and high accountability including managing workstreams, coordinating stakeholders, and measuring impact
Strong written and verbal communicator
able to convey updates, impact, and insights clearly and credibly to senior audiences
A practical, business-oriented approach — you're motivated by tangible outcomes, not just theoretical improvement

Job Responsibility

Process Deconstruction: Lead in-depth workshops with stakeholders to conduct precise mapping of current workflows, identifying specific bottlenecks ripe for agentic automation
Blueprint Creation: Design the detailed future state architecture for departmental functions, explicitly defining the collaboration protocols and task handoffs between human roles and specialized AI agents
Defining Autonomy: Establish the technical and procedural governance models required for agent autonomy, specifically setting rules for decision rights, error escalation triggers, and critical human-in-the-loop oversight points
Dual-Path Roadmap: Develop a detailed, twelve-month transformation roadmap that simultaneously delivers near-term, high-ROI AI solutions while defining the technical prerequisites for achieving fully autonomous agentic operations
Agent Architecture Design: Define precise technical requirements for scalable agent architecture, including the necessary reasoning frameworks, risk management systems, and knowledge retrieval interfaces required for complex decision-making
Build/Buy/Prioritize: Construct data-driven business cases for solutions, explicitly contrasting build vs. buy decisions and prioritizing implementations based on technical feasibility and quantified ROI models
End-to-End Build Capability: Serve as a hands-on technical lead capable of building, testing, and deploying both interim and highly complex agentic AI solutions, working alongside AI Solution Engineers
Operational Scaling: Oversee the technical integration and scaling of deployed AI agents within specific operational workflows, ensuring seamless deployment with rigorous validation testing
Curriculum Development: Design, author, and deliver all technical and operational training curricula required to rapidly transition end-users into effective collaborators with the newly deployed AI agents
Impact Verification: Implement robust tracking mechanisms, utilizing specific KPIs to measure and verify the deployed solutions' business impact and ROI

What we offer

Health, Dental, and Vision insurance covered at 100% for employees, 80% for employee plus dependents, and 70% for employees plus family
FSA Spending Account
Remote or Hybrid work
15 days of vacation, 7 company holidays plus an additional 3 floating holidays and 5 sick days
401(k) plan with company match
100% Company-paid short-term disability, long-term disability, basic life insurance and AD&D
Paid parental leave (12/6 weeks)

Fulltime

Senior Agentic AI Developer

Senior Agentic AI Developer to build production-grade autonomous agents and orch...

Location

United States , San Francisco

Salary:

156000.00 - 234000.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

6+ years in software engineering, with 3+ years hands-on building production-grade AI/ML systems
Deep expertise in LLM agent frameworks (LangGraph, Google ADK, CrewAI, AutoGen, Pydantic AI, LangChain)
Proven ability to architect agentic systems from scratch, including planning/reasoning flows and multi-agent orchestration
Strong Python/TypeScript skills and experience in microservices and distributed infrastructure
Familiarity with vector databases (e.g., Pinecone, ChromaDB), knowledge graphs (Neo4j, Graphiti), and RAG pipelines
Deep autonomous agent architecture knowledge including advanced reasoning, planning, task decomposition, multi-step automation, tool-use patterns, evaluation systems beyond simple response generation
Enterprise integration expertise with RESTful APIs, A2A interoperability, webhook systems, Model Context Protocol (MCP) tools for dynamic tool discovery
Production experience with cloud-native infrastructure (Docker, Kubernetes, AWS/GCP)
Demonstrated experience with reinforcement learning, agent optimization, and agent evaluation techniques
Strong understanding of agent safety, bias mitigation, transparency, and ethical design practices

Job Responsibility

Design and implement LLM-based autonomous agents that perform beyond simple responses — including planning, reasoning, tool-use, and long-term task decomposition
Engineer context- and memory-rich agents that integrate structured data, external APIs, and conversational context to optimize outcomes
Build production-scale orchestration frameworks using tools such as LangGraph, Pydantic AI, Google ADK, and CrewAI to orchestrate complex workflows across campaign creation, optimization, and tracking in distributed microservices architectures
Implement agent-to-agent (A2A) communication protocols using Model Context Protocol (MCP), enabling tool discovery and dynamic peer -to-peer task delegation between specialized agents in our fundraising ecosystem
Develop microservice-based, cloud-native infrastructure for autonomous agent deployment with Docker/Kubernetes, observability tooling, and cloud platforms (AWS/GCP)
Ensure enterprise-grade performance, monitoring, and fault tolerance in agent systems supporting large-scale fundraising workflows
Design sophisticated prompt strategies, agent memory architectures, vector and graph database implementations for maintaining context across multi-turn conversations and long-running campaign lifecycles
Architect and optimize vector and graph database integrations (e.g., Pinecone, Weaviate, ChromaDB) for agent memory and semantic recall
Build custom agentic frameworks for use cases across campaign storytelling, optimization, and donor engagement
Architect frameworks from scratch tailored to fundraising domain challenges, incorporating advanced tool-use capabilities that integrate with platform APIs, knowledge graphs, and external systems

What we offer

Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
Community Engagement: Make a difference through our volunteering program

Fulltime

Special Agent

U.S. Secret Service

Location:
United States , Multiple locations

Category:
Public Sector

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 18, 2026

Expiration:
March 31, 2026

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Special Agent

U.S. Secret Service

Location:United States , Multiple locations

Category:Public Sector

Contract Type:Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:January 18, 2026

Expiration:March 31, 2026

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