cybersecurity engineer

Deloitte

<div>As organizations adopt generative AI, securing how AI agents, models, and automated workflows access enterprise systems and data has become a core engineering challenge. As an Identity &amp; Gen AI Engineer, you will build generative AI solutions with identity, access, and trust engineered in from the start, securing both human and non-human identities and governing how AI agents and GenAI platforms reach data and downstream systems. This role focuses on hands-on engineering, integration, and continuous enhancement of AI solutions in which identity and access controls are a first-class concern.<br>
<br>
<b>Work you'll do</b><br>
<br>
As an Identity &amp; Gen AI Engineer on the Identity and Access Management team, you will be responsible for...<br>
<br>
<ul><li>Build and integrate generative AI solutions, including LLM applications, retrieval-augmented generation, and AI agents, with secure access to data and downstream systems.</li></ul><br>
<ul><li>Engineer authentication, authorization, and identity controls for AI agents, service accounts, and other non-human identities operating across enterprise and cloud environments.</li></ul><br>
<ul><li>Develop guardrails for agentic workflows, including scoped permissions, least-privilege access, credential and secrets management, and runtime policy enforcement.</li></ul><br>
<ul><li>Implement logging, monitoring, and governance that provide traceability and accountability for AI system actions.</li></ul><br>
<ul><li>Collaborate with IAM, security architecture, and data teams to embed identity controls into GenAI solution delivery and operations.</li></ul><br>
<ul><li>Create and maintain reference architectures, reusable patterns, and technical documentation for building and securing AI systems.</li></ul><br>
A successful candidate would possess these skills:<br>
<ul><li>
Ability to work independently and collaborate as part of a team</li><li>
Effective written and verbal communication skills</li><li>
Meticulous attention to detail and quality of work product</li><li>
Ability to build and sustain professional relationships</li><li>
Ability to lead projects or workstreams</li><li>
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment</li><li>
Strong interpersonal skills and professional demeanor</li><li>
Ability to meet deadlines</li><li>
Ability to provide clear guidance to others</li></ul><br>
<b>
The team</b><br>
<br>
Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.<br>
<br>
Our Digital Trust &amp; Privacy offering enables trust and safety of online communications and digital products, protecting users, consumers, and patients from harm. Enables clients to provide consumer confidence in knowing with whom they are dealing and ensuring the integrity of access to data.<br>
<br>
<b>Qualifications</b><br>
<br>
Required:<br>
<ul><li>
Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Engineering, or a similar technical field</li><li>
Ability to work onsite up to 5 days a week.</li><li>
3+ years of software engineering experience with Python or a comparable language
</li><li>1+ year of hands-on experience building, integrating, or deploying generative AI solutions such as large language model (LLM) applications, retrieval-augmented generation (RAG), or AI agents, including use of model APIs, orchestration frameworks, and AI development tools such as Claude Code, OpenAI Codex, GitHub Copilot, or Cursor
</li><li>Working knowledge of identity and access management concepts and protocols, including authentication, authorization, single sign-on (SSO), and standards such as OpenID Connect (OIDC), Security Assertion Markup Language (SAML), OAuth, and JSON Web Token (JWT)
</li><li>Ability to travel 15%, on average, based on the work you do and the clients and industries/sectors you serve.
</li><li>Ability to obtain and maintain the necessary security clearance.
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.</li></ul><br>
Preferred:<br>
<ul><li>
Experience deploying generative AI solutions to production environments
</li><li>Hands-on experience with identity and access management platforms such as SailPoint, Okta, or Microsoft Entra ID
</li><li>Experience securing non-human or machine identities, service accounts, secrets, and credentials using tools such as HashiCorp Vault or CyberArk
</li><li>Experience with AI agent frameworks and protocols such as LangChain, LangGraph, or Model Context Protocol (MCP)
</li><li>Experience with fine-grained authorization or policy-as-code using tools such as Open Policy Agent (OPA), Cedar, or OpenFGA
</li><li>Familiarity with AI and LLM security risks such as the OWASP Top 10 for LLM Applications, prompt injection, and excessive agency
</li><li>Experience applying AI governance and risk frameworks such as the NIST AI Risk Management Framework (AI RMF)
</li><li>2+ years of experience building or deploying workloads in cloud environments such as Amazon Web Services (AWS) and Microsoft Azure
</li><li>Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or a cloud engineering certification such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect
</li><li>1+ year of experience supporting federal government environments
</li>1+ year of experience with infrastructure-as-code or automation technologies such as Terraform or Ansible<br>
<li>
</li></ul><br>
<br>
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 to $207,800.<br>
<br>
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.</div>

Senior Consultant, Strategy, Growth, and Transformation, Identity & Gen AI Engineer

General Dynamics Information Technology

<div></div><div><div><div>Clearance Level
<div>Top Secret</div>
</div><div></div><div>Category
<div>Cyber and IT Risk Management</div>
</div><div></div><div>Location
<div>Washington, District of Columbia</div>
<i>(</i><i>Hybrid Workplace</i><i>)</i>
</div><div>
</div></div><div><div>Key Skills For Success
</div><div><p>Building Architecture</p>
</div><div><p>Design</p>
</div><div><p>VMware</p>
</div></div><div></div><div><div><div><div><div><div>
</div></div></div><div><h5 class="jobSectionHeader"><b>REQ#:</b><b> </b><b>RQ223555</b></h5>
<h5 class="jobSectionHeader"><b>Public Trust:</b><b> </b><b>None</b></h5>
<h5 class="jobSectionHeader"><b>Requisition Type:</b><b> </b><b>Regular</b></h5>
<h5 class="jobSectionHeader"><b>Your Impact</b></h5>
<p>Own your opportunity to serve as a critical component of our nation&rsquo;s safety and security. Make an impact by using your expertise to protect our country from threats.</p>
<h2 class="jobSectionHeader"><b>Job Description</b></h2>
<div><p>The Sr. Cyber Security Architect will provide subject matter expertise across cloud security, identity architecture, Zero Trust, network segmentation, application/container security, and enterprise monitoring capabilities. This role requires adaptability, critical thinking, and leadership advisory skills as the position aims to fundamentally re-shape the client&rsquo;s cybersecurity posture. The position requires the ability to operate with substantial independence, as the architect will spearhead multi-disciplinary technical efforts, act as an advisor to executives, and ensure the modernization and evolution of the client&rsquo;s technology environment.</p>
<p></p><p>The Security Architect is also responsible for defining and implementing secure enterprise architectures, engineering complex cybersecurity solutions, and integrating federal security mandates across the agency's technology stack.</p>
<ul><li>Lead enterprise cybersecurity architecture efforts by designing and governing integrated architectures across identity, devices, networks, applications, and data within a Zero Trust model.</li>
<li>Develop secure architectures for hybrid on-prem/cloud environments, Microsoft 365, identity services, and container ecosystems.</li>
<li>Establish enterprise patterns, baselines, and engineering standards.</li>
<li>Ensure alignment with NIST SP 800 53, RMF, and OMB/CISA directives.</li>
<li>Lead major cybersecurity modernization initiatives including defining scope, technical objectives, dependencies, schedules, and measurable outcomes.</li>
<li>Implement security infrastructure upgrades; Provide secure architecture solutions for Virtual Desktop and Server Infrastructures</li>
<li>Coordinate engineering, cloud, network, application, and development teams to oversee threat modeling, secure API design, encryption, secrets management.</li>
<li>Manage architectural risk; conduct impact analyses; and enforce technical quality gates.</li>
<li>Leading Zero Trust-aligned enterprise architectures across identity, cloud, applications, and data AND establishing standards and baselines to ensure compliance with NIST, RMF, and federal directives.</li>
<li>Performing functional testing and validation of security products.</li>
<li>Designing and implementing secure file sharing and cross domain solutions.</li>
<li>Directing or participating in major cybersecurity modernization efforts (i.e. coordinating cross-functional teams, managing architectural risk, overseeing pilots and vendor integrations, and driving enterprise application security).</li>
<li>Advancing the security of enterprise applications and platforms by embedding secure designing practices; integrating automated security testing and software-composition analysis; and applying threat analysis, API security, and data protection strategies.</li>
<li>Advising senior leadership on strategy and enterprise risk; leading or participating in architecture boards and interagency councils or industry working groups; and representing the organization to internal and external stakeholders.</li>
</ul><p></p><p>WHAT YOU&rsquo;LL NEED TO SUCCEED</p>
<p>Bring your cyber expertise and drive for innovation to GDIT. The Cybersecurity Analyst Sr Principal must have:</p>
<ul><li>Education: Bachelors degree in a technical discipline</li>
<li>Experience: 10+ years of related experience</li>
<li>Desired Technical skills: Experience with various Operating Systems (Linux/Windows/MacOS), various scripting languages (Python/Perl/Shell, etc); SEIM technologies (IBM Qradar, Splunk, or Elastic); on-prem and cloud implementations, IDS/IPS solutions; VMWare (ESXi, VMware vCenter, VMware VSAN, VMware View)</li>
<li>Security clearance level: TS with SCI Eligibility</li>
<li>US citizenship required</li>
<li>Role requirements: Onsite presence required, with telework availability (approval required); limited CONUS travel.</li><br>
</ul><div><br>
GDIT IS YOUR PLACE
<br>
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
<ul><li>Growth: AI-powered career tool that identifies career steps and learning opportunities
</li><li>Support: An internal mobility team focused on helping you achieve your career goals
</li><li>Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
</li><li>Community: Award-winning culture of innovation and a military-friendly workplace
</li></ul><br>
OWN YOUR OPPORTUNITY
<br>
Explore a career in cyber at GDIT and you&rsquo;ll find endless opportunities to grow alongside colleagues who share your focus on defending and protecting what matters.
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Work Requirements</b></h3>
</div></div><div></div><div><div>Years of Experience
<p>10 + years of related experience</p>
<ul><li>may vary based on technical training, certification(s), <b><i>or</i></b> degree</li></ul>
</div><div></div><div>Certification
</div><p></p><div>Travel Required
<p>Less than 10%</p>
</div><div></div><div>Citizenship
<p>U.S. Citizenship Required</p>
</div></div></div></div><div><h3 class="jobSectionHeader"><b>Salary and Benefit Information</b></h3>
<p>The likely salary range for this position is $178,500 - $241,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
</p>
<h3 class="jobSectionHeader"><b>Our Identity Verification Process</b></h3>
<p>As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.</p>
<h3 class="jobSectionHeader"><b>About Our Work</b></h3>
<div></div><p>We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.</p>
<p>Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</p>
<p><i>Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></p></div></div></div></div>

Sr. Cybersecurity Architect - Active Top Secret

Nationwide IT Services

<div><b>Apple/macOS SME 2026-088 #5</b><br>
<b>Clearance Required:</b> Top Secret<br>
Remote work is authorized under this contract; however, at the government&rsquo;s discretion,<br>
<br>
<b>Role Summary</b><br>
Nationwide IT Services is seeking an Apple/macOS Subject Matter Expert to support the J7 endpoint-engineering team. This role focuses on macOS imaging, JAMF management, Apple device lifecycle support, and integration of Apple endpoints into secure enterprise environments.<br>
<br>
<b>Key Responsibilities</b><ul><li>
Build, maintain, validate, and automate macOS workstation images.</li><li>
Manage macOS endpoints using JAMF Pro and Apple Business Manager.</li><li>
Support image version control, rollback planning, and formal change-control processes.</li><li>
Integrate macOS images with VDI, EDR, authentication, logging, and security tools.</li><li>
Configure and support FileVault, recovery-key escrow, and passwordless or hardware-backed authentication.</li><li>
Ensure endpoint solutions meet audit, governance, and compliance requirements.</li></ul><b>
Required Experience</b><ul><li>
8+ years of IT, endpoint, or cybersecurity experience.</li><li>
6+ years of engineering experience; help desk experience alone does not qualify.</li><li>
Experience working under formal change control, audit, and governance processes.</li><li>
Hands-on experience building and maintaining macOS workstation images.</li><li>
Experience with JAMF Pro, Apple Business Manager, FileVault, and macOS endpoint management.</li></ul><p></p><b>
Preferred Qualifications</b><ul><li>
Bachelor&rsquo;s degree preferred; may be waived based on experience at the government&rsquo;s discretion.</li><li>
JAMF or Apple certifications are a plus.</li><li>
Experience with Intune for macOS and endpoint logging into Microsoft Sentinel.</li></ul><p></p><b>
About NIS</b><br>
Working at Nationwide IT Services means joining a company grounded in purpose, resilience, and a genuine commitment to people. Since 2006, NIS has delivered exceptional services to government customers while supporting the nation, taxpayers, and citizens. NIS continues to evolve through remote work, wellness initiatives, and modern technology while staying true to its mission and prioritizing e<p>
</p><p>iejXfrwxhi</p></div>

Apple/macOS SME 2026-088 #5

Accenture Federal Services

<div></div><div><div><div><div>At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.</div>
<div></div>
<div>Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.</div>
<div></div>
<div>Join us to drive positive, lasting change that moves missions and the government forward!</div><br>
<div></div>
</div></div><p><b>
The work</b></p>
<p>
The CyberArk PAM Operations Engineer ensures the stability, security, and continuous operation of the enterprise Privileged Access Management platform. This role focuses on daily platform administration, account onboarding, operational troubleshooting, and safeguarding privileged credentials across the organization. The engineer works closely with security, infrastructure, and application teams to enforce least‑privilege principles and maintain compliance. Strong hands‑on experience with CyberArk core components and a deep understanding of enterprise infrastructure are critical for success in this role. Attention to detail, the ability to work both independently and collaboratively, and a commitment to maintaining a secure credential ecosystem are essential.</p>
<p><b>
Key responsibilities</b></p>
<ul>
<li>Monitor daily system health for Vault, PVWA, CPM, PSM, and PTA components</li>
<li>Execute routine patching, software upgrades, and backup verification</li>
<li>Manage Safe structures, user permissions, and Master Policy configurations</li>
<li>Maintain platform documentation, operational runbooks, and disaster recovery procedures</li>
<li>Onboard privileged accounts for operating systems, databases, network devices, and cloud environments</li>
<li>Configure platform policies and password rotation rules to ensure compliance</li>
<li>Integrate applications with CyberArk Secrets Manager or Application Identity Manager (AIM)</li>
<li>Automate operational tasks using PowerShell, Python, or CyberArk REST APIs</li>
<li>Resolve Tier 2/3 incidents related to credential rotation failures and connection issues</li>
<li>Support end‑users with access requests, dual‑control workflows, and technical troubleshooting</li>
<li>Audit privileged sessions and investigate anomalous activities with the SOC</li>
<li>Enforce least‑privilege principles across all corporate technical teams</li>
</ul>
<p><b>Here's what you need</b></p>
<ul>
<li>3+ years of hands‑on CyberArk PAM administration experience in an enterprise environment</li>
<li>Experience with Windows Server, Linux/Unix, Active Directory, and LDAP</li>
<li>Strong understanding of firewalls, load balancers, DNS, and TLS/SSL certificates</li>
<li>Ability to write functional scripts in PowerShell, Bash, or Python</li>
<li>Security+ or equivalent security certification</li>
</ul>
<p><b>Nice to have</b></p>
<ul>
<li>CyberArk Defender or Sentry certification</li>
<li>Strong verbal and written communication skills for guiding users and documenting procedures</li>
<li>Analytical mindset with strong troubleshooting skills for complex multi‑tier environments</li>
</ul>
<p><b>Eligibility requirements</b></p>
<ul>
<li>US Citizen (dual citizens accepted)</li>
<li>Active Secret Clearance</li>
</ul><div><div>
<div></div><div><div><b><i>What We Believe</i></b><b><i>
</i></b></div><div><i>As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.</i></div>
</div>
<div></div><div><b><i>Equal Employment Opportunity Statement</i></b></div>
<div><i>We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the</i><i> Accenture Federal Services Equal Opportunity Policy Statement.</i></div>
<div></div>
<div><i>Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.</i></div>
<div></div>
<div><b><i>Requesting An Accommodation</i></b></div>
<div><i>Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.</i></div>
<div></div>
<div><i>If you</i><b><i> </i></b><i>are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.</i></div>
<div></div>
<div><b><i>Other Employment Statements</i></b></div>
<div><i>Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.</i></div>
<div></div>
<div><i>Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.</i></div>
<div></div>
<div><i>Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.</i></div>
<div></div>
<div><i>The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.</i></div>
<div></div>
<div><i>California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please </i><i>click here</i><i> for additional important information.</i></div></div></div></div><p></p>

CyberArk PAM Operations Engineer

VERSA Integrated Solutions

<p>Position: AI/ML Engineer</p><p>Location: Washington, DC Metro Area (Hybrid/Onsite based on customer requirements)</p><p>Employment Type: Full-Time</p><p>Salary: Commensurate with Experience</p><p>About VERSA Integrated Solutions</p><p>VERSA Integrated Solutions is a premier provider of Information Technology, Artificial Intelligence, Cybersecurity, Cloud, Data Analytics, and Engineering services supporting Federal Government agencies. We help agencies modernize operations through innovative technologies, secure architectures, and mission-driven solutions. Our teams work on high-impact initiatives that improve decision-making, operational efficiency, and citizen services.</p><p>Position Summary</p><p>VERSA Integrated Solutions is seeking an experienced AI/ML Engineer to design, develop, deploy, and maintain Artificial Intelligence (AI) and Machine Learning (ML) solutions supporting Federal Government customers. The successful candidate will work closely with data scientists, software engineers, cloud architects, cybersecurity professionals, and business stakeholders to build intelligent applications that leverage predictive analytics, machine learning, generative AI, and large language models (LLMs).</p><p>The AI/ML Engineer will support the full lifecycle of AI solutions&mdash;from data preparation and model development to deployment, monitoring, optimization, and governance&mdash;while ensuring compliance with federal security, privacy, and Responsible AI requirements.</p><p>Position Objectives</p><p>The AI/ML Engineer will:</p><ul><li>Design and implement scalable AI and ML solutions.&bull; Build and optimize machine learning models for structured and unstructured data.&bull; Develop data pipelines to support AI workloads.&bull; Integrate AI capabilities into enterprise applications.&bull; Ensure AI solutions comply with federal security, privacy, and governance requirements.&bull; Collaborate with cross-functional teams to deliver mission-focused outcomes.</li></ul><p>Major Duties &amp; Responsibilities</p><p>AI &amp; Machine Learning Development</p><ul><li>Design, develop, train, test, and deploy machine learning models.&bull; Build supervised, unsupervised, reinforcement learning, and deep learning solutions.&bull; Develop predictive analytics and classification models.&bull; Optimize model performance and accuracy through feature engineering and hyperparameter tuning.&bull; Build reusable AI components and services.</li></ul><p>Generative AI &amp; Large Language Models</p><ul><li>Develop solutions using Large Language Models (LLMs).&bull; Implement Retrieval-Augmented Generation (RAG) architectures.&bull; Engineer prompts and fine-tune models where appropriate.&bull; Evaluate AI model outputs for accuracy, explainability, and bias.&bull; Support secure deployment of generative AI capabilities.</li></ul><p>Data Engineering &amp; Preparation</p><ul><li>Build and maintain data ingestion and transformation pipelines.&bull; Clean, normalize, and prepare structured and unstructured datasets.&bull; Collaborate with Data Engineers to optimize data availability and quality.&bull; Implement feature stores and model-ready datasets.</li></ul><p>MLOps &amp; Model Lifecycle Management</p><ul><li>Automate model training, testing, deployment, and monitoring.&bull; Develop CI/CD pipelines for machine learning solutions.&bull; Monitor model drift, performance degradation, and retraining needs.&bull; Maintain version control for models, datasets, and code.</li></ul><p>Responsible AI &amp; Governance</p><ul><li>Implement Responsible AI principles including fairness, transparency, explainability, and accountability.&bull; Ensure compliance with NIST AI Risk Management Framework, Executive Orders, and agency-specific AI policies.&bull; Document AI models, assumptions, limitations, and validation results.</li></ul><p>Collaboration &amp; Innovation</p><ul><li>Partner with software developers, cloud engineers, and business analysts to integrate AI into enterprise solutions.&bull; Present technical findings and recommendations to stakeholders.&bull; Evaluate emerging AI technologies and recommend improvements.</li></ul><p>Required Technical Skills</p><ul><li>Python&bull; SQL&bull; TensorFlow&bull; PyTorch&bull; Scikit-learn&bull; Pandas&bull; NumPy&bull; Hugging Face Transformers&bull; LangChain or similar orchestration frameworks&bull; Azure AI Services or Azure Machine Learning&bull; AWS SageMaker (preferred)&bull; Git/GitHub&bull; Docker&bull; Kubernetes&bull; RESTful APIs</li></ul><p>Preferred Skills</p><ul><li>Experience with Retrieval-Augmented Generation (RAG)&bull; Prompt engineering for LLMs&bull; Vector databases (e.g., Pinecone, Azure AI Search)&bull; Knowledge graph integration&bull; Natural Language Processing (NLP)&bull; Computer Vision&bull; Time-series forecasting&bull; Knowledge of FedRAMP and Zero Trust environments</li></ul><p>Required Qualifications</p><ul><li>Strong analytical and problem-solving skills.&bull; Excellent written and verbal communication skills.&bull; Ability to translate business requirements into AI-driven technical solutions.&bull; Experience working in Agile/DevSecOps environments.&bull; Experience supporting federal government customers is highly desirable.</li></ul><p>Education</p><p>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Mathematics, Statistics, or a related field. A Master's degree is preferred. Equivalent experience may be substituted for education.</p><p>Experience Levels</p><p>Junior (0&ndash;4 Years)</p><ul><li>Experience with Python and machine learning fundamentals.&bull; Exposure to cloud platforms and data science tools.&bull; Participation in AI/ML projects through coursework, internships, or professional experience.</li></ul><p>Intermediate (5&ndash;9 Years)</p><ul><li>Development and deployment of production AI/ML models.&bull; Experience with MLOps pipelines and cloud AI services.&bull; Collaboration with cross-functional software development teams.</li></ul><p>Senior (10&ndash;14 Years)</p><ul><li>Leadership in designing enterprise AI solutions.&bull; Expertise in generative AI, LLMs, and Responsible AI practices.&bull; Experience mentoring junior engineers and leading technical initiatives.</li></ul><p>Subject Matter Expert (15+ Years)</p><ul><li>Recognized authority in enterprise AI strategy and implementation.&bull; Experience shaping AI governance and modernization initiatives for large organizations.&bull; Trusted advisor to executive leadership on AI adoption and emerging technologies.</li></ul><p>Preferred Certifications</p><ul><li>Microsoft Certified: Azure AI Engineer Associate&bull; Microsoft Certified: Azure Data Scientist Associate&bull; AWS Certified Machine Learning &ndash; Specialty&bull; Google Professional Machine Learning Engineer&bull; TensorFlow Developer Certificate&bull; Databricks Certified Machine Learning Professional&bull; ITIL&reg; 4 Foundation (preferred)</li></ul><p>Desired Federal Experience</p><p>Experience supporting one or more of the following agencies is highly desirable:</p><ul><li>U.S. Census Bureau&bull; National Institutes of Health (NIH)&bull; Centers for Medicare &amp; Medicaid Services (CMS)&bull; Department of Commerce&bull; Department of Homeland Security (DHS)&bull; Department of Defense (DoD)&bull; Department of Labor (DOL)</li></ul><p>Security Clearance</p><ul><li>Ability to obtain and maintain a Public Trust or higherclearance, depending on customer requirements.</li></ul><p>Work Environment</p><ul><li>Hybrid or onsite within the Washington, DC Metro Area based on customer requirements.&bull; Collaborative, fast-paced environment supporting mission-critical federal AI initiatives.&bull; Occasional travel to customer sites may be required.</li></ul><p>Why Join VERSA?</p><p>At VERSA, you'll work alongside experts delivering innovative AI solutions that help federal agencies solve complex mission challenges. We invest in continuous learning, professional certifications, and opportunities to work with cutting-edge technologies, including machine learning, generative AI, cloud platforms, and advanced analytics.</p><p>Equal Employment Opportunity</p><p>VERSA Integrated Solutions is an Equal Opportunity Employer. We are committed to creating an inclusive workplace where all employees are respected, valued, and empowered to succeed. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other status protected by applicable law.</p><p>Pay: $118,467.98 - $142,671.13 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Retirement plan</li></ul><p>Work Location: Hybrid remote in Washington, DC 20591</p>

Software Engineer - Data, AI/ML & Analytics

<p>Position: Data Engineer</p><p>Department: Federal Programs</p><p>Location: Washington, DC Metro Area (Hybrid/Onsite based on customer requirements)</p><p>Employment Type: Full-Time</p><p>Salary: Commensurate with Experience</p><p>About VERSA Integrated Solutions</p><p>VERSA Integrated Solutions delivers innovative Cloud, Data, Artificial Intelligence, Cybersecurity, and Enterprise IT solutions to Federal Government agencies. We help agencies modernize mission-critical systems by implementing secure, scalable, cloud-native technologies that enable advanced analytics, operational excellence, and data-driven decision making.</p><p>Position Summary</p><p>VERSA Integrated Solutions is seeking a highly motivated Data Engineer to design, build, optimize, and maintain enterprise data platforms supporting Federal Government customers. The Data Engineer develops robust ETL/ELT pipelines, cloud-based data integration solutions, and enterprise data repositories that support business intelligence, artificial intelligence, reporting, and operational analytics.</p><p>The successful candidate will collaborate closely with Data Architects, AI/ML Engineers, Database Administrators, Software Developers, Cloud Engineers, and Business Analysts to ensure high-quality, secure, and scalable data solutions.</p><p>Position Objectives</p><p>The Data Engineer will:</p><ul><li>Design enterprise data pipelines.&bull; Integrate structured and unstructured data sources.&bull; Support cloud data modernization initiatives.&bull; Improve enterprise data quality.&bull; Enable analytics and AI initiatives.&bull; Automate data processing workflows.</li></ul><p>Major Duties &amp; Responsibilities</p><p>Data Pipeline Development</p><ul><li>Design, develop, and maintain scalable ETL/ELT pipelines.&bull; Integrate internal and external data sources.&bull; Automate ingestion, transformation, and validation processes.&bull; Optimize data movement across enterprise platforms.&bull; Monitor pipeline performance and reliability.</li></ul><p>Cloud Data Engineering</p><p>Support enterprise cloud platforms including:</p><ul><li>Azure Data Factory&bull; Azure Synapse Analytics&bull; Azure Data Lake&bull; Microsoft Fabric&bull; AWS Glue&bull; AWS Redshift&bull; Databricks</li></ul><p>Develop cloud-native data integration solutions supporting modernization initiatives.</p><p>Data Integration</p><ul><li>Develop APIs supporting enterprise integrations.&bull; Process structured, semi-structured, and unstructured data.&bull; Build real-time and batch processing solutions.&bull; Support streaming technologies such as Apache Kafka and Azure Event Hub.</li></ul><p>Data Quality</p><ul><li>Validate incoming datasets.&bull; Develop automated quality checks.&bull; Monitor completeness and accuracy.&bull; Resolve data anomalies.&bull; Implement data lineage and audit capabilities.</li></ul><p>Analytics Support</p><p>Provide data services supporting:</p><ul><li>Power BI&bull; Tableau&bull; AI/ML models&bull; Executive dashboards&bull; Predictive analytics&bull; Operational reporting</li></ul><p>DevSecOps</p><p>Collaborate with engineering teams to:</p><ul><li>Automate deployments&bull; Implement Infrastructure as Code&bull; Support CI/CD pipelines&bull; Improve monitoring and observability&bull; Secure enterprise data environments</li></ul><p>Required Technical Skills</p><p>Languages</p><ul><li>Python&bull; SQL&bull; Spark&bull; PySpark&bull; PowerShell</li></ul><p>Cloud</p><ul><li>Azure&bull; Azure Data Factory&bull; Azure Synapse&bull; Azure SQL&bull; Azure Storage&bull; Microsoft Fabric</li></ul><p>Databases</p><ul><li>SQL Server&bull; PostgreSQL&bull; Oracle&bull; Snowflake&bull; Databricks</li></ul><p>Tools</p><ul><li>Git&bull; GitHub&bull; Azure DevOps&bull; Terraform&bull; Docker&bull; Kubernetes</li></ul><p>Preferred Skills</p><ul><li>Apache Kafka&bull; Azure Event Hub&bull; REST APIs&bull; JSON/XML&bull; Delta Lake&bull; Data Lakehouse Architecture&bull; AI data preparation&bull; MLOps</li></ul><p>Education</p><p>Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, or a related discipline.</p><p>Experience Levels</p><p>Junior (0&ndash;4 Years)</p><ul><li>SQL development&bull; Python programming&bull; ETL fundamentals&bull; Database experience</li></ul><p>Intermediate (5&ndash;9 Years)</p><ul><li>Cloud data engineering&bull; Azure or AWS experience&bull; Production ETL development&bull; API integration</li></ul><p>Senior (10&ndash;14 Years)</p><ul><li>Enterprise cloud modernization&bull; Data platform leadership&bull; Performance optimization&bull; Mentoring junior engineers</li></ul><p>SME (15+ Years)</p><ul><li>Enterprise Data Engineering strategy&bull; Federal modernization leadership&bull; AI-enabled data platforms&bull; Large-scale cloud migration</li></ul><p>Preferred Certifications</p><ul><li>Microsoft Certified: Azure Data Engineer Associate&bull; Databricks Certified Data Engineer&bull; AWS Certified Data Engineer&bull; SnowPro Core&bull; ITIL&reg; Foundation</li></ul><p>Desired Federal Experience</p><p>Experience supporting NIH, CMS, Census Bureau, Commerce, DHS, DOD, or other Federal agencies is highly desirable.</p><p>Security Clearance</p><p>Ability to obtain and maintain a Public Trust or higher clearance, depending on customer requirements.</p><p>Why Join VERSA?</p><p>Join a team building modern data platforms that enable Federal agencies to leverage artificial intelligence, cloud computing, and enterprise analytics to accomplish mission objectives.</p><p>Equal Employment Opportunity</p><p>VERSA Integrated Solutions is an Equal Opportunity Employer committed to diversity, inclusion, and equal opportunity for all qualified applicants.</p><p>Pay: $120,000.00 - $150,000.00 per year</p><p>Benefits:</p><ul><li>401(k) matching</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Vision insurance</li></ul><p>Work Location: Hybrid remote in Washington, DC 20591</p>

Data Engineer

Cognition AI

<div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
<p>Washington DC</p>
</div><div><h2 class="jobSectionHeader"><b>Employment Type</b></h2>
<p>Full time</p>
</div><div><h2 class="jobSectionHeader"><b>Location Type</b></h2>
<p>Hybrid</p>
</div><div><h2 class="jobSectionHeader"><b>Department</b></h2>
<p>SalesFederal</p></div></div>
<br><div><div><h2 class="jobSectionHeader"><b>We are an applied AI lab building end-to-end software agents.</b></h2>
<p>We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.</p>
<p>Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.</p>
<p>Building Devin is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.</p>
<p><b>About the Role</b></p>
<p>We are seeking an AI Policy Lead to help shape Cognition's engagement with policymakers, regulators, and government stakeholders as AI becomes increasingly important to economic competitiveness, national security, and public sector modernization.</p>
<p>You will serve as a bridge between technical innovation and public policy, helping policymakers understand the opportunities and implications of advanced AI systems while ensuring Cognition remains informed on evolving regulatory, legislative, and geopolitical developments.</p>
<p>This role sits at the intersection of technology, government, and strategy. You will work closely with company leadership, product teams, legal counsel, and external stakeholders to support responsible AI deployment and advance policies that promote innovation, security, and economic growth.</p>
<p><b>Core Responsibilities</b></p>
<ul><li><p>Monitor and analyze emerging AI policy, regulatory, and legislative developments across the United States and key international markets</p>
</li><li><p>Develop policy positions, briefing materials, white papers, and executive-level recommendations on issues related to artificial intelligence, national security, technology competitiveness, workforce transformation, and digital infrastructure</p>
</li><li><p>Build and maintain relationships with policymakers, government agencies, think tanks, industry associations, and academic institutions</p>
</li><li><p>Support executive engagement with Congress, the Executive Branch, regulators, and international government stakeholders</p>
</li><li><p>Represent Cognition in policy discussions, industry working groups, conferences, and strategic forums</p>
</li><li><p>Partner with technical teams to translate complex AI capabilities into clear, actionable policy narratives</p>
</li><li><p>Identify opportunities for public-private partnerships that accelerate AI adoption across government and critical industries</p>
</li><li><p>Help anticipate policy risks and opportunities that could impact company strategy, product development, or market expansion</p>
</li></ul><p><b>What We Value</b></p>
<ul><li><p>Intellectual curiosity and a genuine interest in understanding frontier AI systems</p>
</li><li><p>Strong judgment and the ability to navigate complex policy environments</p>
</li><li><p>Clear communication across technical, business, and government audiences</p>
</li><li><p>Relationship-building and long-term trust with stakeholders</p>
</li><li><p>Pragmatism and a focus on outcomes rather than ideology</p>
</li><li><p>Ownership mentality and willingness to operate independently</p>
</li><li><p>Ability to balance innovation, competitiveness, and responsible governance</p>
</li></ul><p><b>Requirements</b></p>
<ul><li><p>5&ndash;10 years of experience in public policy, government affairs, national security, technology policy, congressional offices, federal agencies, think tanks, consulting, or related fields</p>
</li><li><p>Strong understanding of U.S. government institutions, policymaking processes, and regulatory frameworks</p>
</li><li><p>Demonstrated ability to influence senior stakeholders and navigate complex organizations</p>
</li><li><p>Exceptional written and verbal communication skills</p>
</li><li><p>Experience developing policy recommendations, briefing materials, or strategic analyses for senior decision-makers</p>
</li><li><p>Ability to quickly understand technical concepts and communicate them effectively to non-technical audiences</p>
</li><li><p>Interest in artificial intelligence, emerging technologies, and their implications for government and society</p>
</li></ul><p><b>You Might Excel If You...</b></p>
<ul><li><p>Have worked in Congress, the White House, federal agencies, national security organizations, or leading policy institutions</p>
</li><li><p>Are familiar with federal budgeting cycles</p>
</li><li><p>Have experience with AI, cybersecurity, defense technology, cloud infrastructure, or emerging technology policy</p>
</li><li><p>Have advised senior government officials, executives, or technology leaders</p>
</li><li><p>Understand both the public and private sector perspectives on innovation and regulation</p>
</li><li><p>Are passionate about ensuring the United States remains the global leader in AI development and deployment</p>
</li></ul><h2 class="jobSectionHeader"><b>Equal Opportunity</b></h2>
<p>Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.</p></div></div><p></p>

AI Policy Lead

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