AI Data Engineer

Hey — Let's find your next opportunity Cinteot Inc. is a small IT services company that specializes in cybersecurity, Big Data/databases, software development, systems testing, STIG Compliance training, closed‑circuit television/security cameras and access controls, and construction/facilities. We are a Woman‑owned, SBA Certified 8(a), and HUBZone company. About the job Job Overview: The AI Data Engineer is responsible for building and operating high‑quality, governed, and AI‑ready data pipelines that power enterprise GenAI and agent‑based use cases. This role focuses on preparing data for retrieval‑augmented generation (RAG), managing embeddings and vector indexes, and ensuring data quality, lineage, and compliance across the AI platform. As part of the AI CoE Technology pod, the AI Data Engineer enables rapid, responsible AI development by delivering reusable, scalable data foundations. This is a hands‑on individual contributor role within the AI CoE – Technology pod, working closely with AI Platform Engineers and AI Engineers to support both shared platform capabilities and priority AI use cases. The role is intentionally centralized to avoid fragmented data pipelines and to ensure consistent governance, quality, and reuse across the enterprise. Major Responsibilities: Design, build, and maintain data pipelines that ingest, transform, and curate structured and unstructured data for AI use cases. Prepare RAG‑ready datasets by applying metadata enrichment, chunking, normalization, and document parsing patterns aligned to platform standards. Partner with source system teams and domain SMEs to understand data semantics and ensure accurate representation for AI consumption. Create and maintain embedding pipelines, including generation, refresh, and lifecycle management. Own vector index maintenance, including re‑indexing strategies, performance tuning, and cleanup of stale or unused embeddings. Support knowledge grounding for AI agents by ensuring source attribution, consistency, and traceability. Implement data quality checks, validation rules, and monitoring to ensure accuracy, completeness, and reliability of AI datasets. Ensure all AI data pipelines comply with enterprise data governance, privacy, and information management policies, including support for regulated and sensitive data use cases. Collaborate with Architecture, Security, and Information Governance partners to align data handling with approved AI patterns and risk controls. Support AI Engineers during onboarding and troubleshooting by diagnosing data issues that affect agent behavior or retrieval accuracy. Contribute reusable data patterns, templates, and documentation to accelerate future AI use cases. Participate in platform support activities defined in the AI CoE RACI, particularly those related to data grounding and vector maintenance. Optimize data and embedding pipelines for performance, scalability, and cost efficiency, in partnership with Platform Engineers. Monitor data freshness and usage trends to recommend retirement, refresh, or enhancement of datasets supporting AI agents. Qualifications: Bachelor’s degree in computer science, Engineering, Data Science, or a related technical discipline OR equivalent combination of education and relevant experience. Demonstrated experience designing and operating production‑grade data pipelines in an enterprise environment. Experience working with unstructured data (documents, text, PDFs) and preparing data for analytics, ML, or AI use cases. Working knowledge of embeddings, vector databases, and retrieval patterns used in modern AI and GenAI solutions. Strong understanding of data quality, lineage, and governance concepts. Additional Licensing, Certifications, Registrations: Professional certification(s) in area of expertise a plus

• AWS Machine Learning Specialty, Azure AI Engineer Associate, or equivalent cloud certifications.
• Databricks and/or Snowflake certifications

Knowledge, Skills, and Abilities: Strong hands‑on experience designing and operating data pipelines for analytics, ML, or AI workloads. Experience working with unstructured data (documents, PDFs, text) and preparing it for downstream AI or search use cases. Knowledge of embeddings, vector databases, and retrieval patterns used in RAG or knowledge‑based AI systems. Strong understanding of data quality, lineage, and governance concepts in enterprise environments. Experience supporting GenAI or agentic AI platforms in a regulated enterprise environment (e.g., healthcare, financial services). Familiarity with cloud‑native data services and AI platforms commonly used for enterprise AI enablement. Experience partnering with platform and application teams in a federated or hub‑and‑spoke operating model. Understanding of healthcare compliance standards (HIPAA, HITRUST) and ethical AI practices (bias, explainability,data privacy). Ability to collaborate effectively with cross‑functional teams and translate business requirements into technical solutions. Strong problem‑solving and innovation mindset, with the ability to adapt generative AI to real‑world challenges in healthcare and ability to adapt to and adapt to evolving priorities and technologies Familiarity with governance and compliance frameworks relevant to healthcare (HIPAA, SOC 2, HITRUST) preferred Health Insurance Vision Insurance 401(k) Matching Paid Time Off (PTO) Paid Holidays Life Insurance Birthday PTO Education Reimbursement Preferred Skills Complete Insurance Coverage 401k with Company Contribution Tuition Reimbursement Generous Paid Time Off (including your birthday!) Cinteot is an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. Cinteot Herndon, VA, United States Cinteot Herndon, VA, United States 4 months ago Job Summary: Cinteot is seeking a skilled DevOps Systems Engineer to join our dynamic Information Technology team in Herndon, VA. This role is integral to our Data Centric‑Multi‑Level Secure® (DC‑MLS®) Enterprise team, focusing on the deployment and support of high‑performance computing programs and other critical contracts. The ideal candidate will have a strong foundation in Unix/Linux systems and a passion for automation and continuous integration. Key Responsibilities: Deploy and manage DevOps processes and tools to enhance system performance and reliability. Collaborate with cross‑functional teams to define and implement automation strategies. Utilize scripting languages for configuration management and automation tasks. Ensure the security and integrity of systems through compliance with best practices. Maintain documentation for system configurations and processes. Required Qualifications: 5+ years of experience in Linux, scripting/software development, and configuration management. Proficiency in Python, Perl, Korn, Bourne/Bash, Ansible, and other shell scripting. Experience with revision control software (CVS, SVN, Git, GitLab, GitLab CI). Demonstrated ability to manage and develop DevOps deployment automation processes. Security+ Certification is required. Comprehensive insurance coverage including medical, dental, and vision. 401(k) plan with company contributions. Generous paid time off policy, including your birthday! Company Culture: At Cinteot, we foster an inclusive environment that values diversity and encourages professional growth. We believe in empowering our employees to take initiative and innovate in their roles. Join us in making a difference! Cinteot is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. Satellite Communications System Security Engineer, Sr Cinteot Fort Meade, MD, United States Cinteot Fort Meade, MD, United States 20 days ago The Opportunity: Are you seeking an opportunity to enhance your expertise in satellite communications systems, including devices, implementing security systems, and identifying tools, that will support our country and safeguard our nation? As a Satellite Communications Systems Security Engineer, you will identify the necessary tools, security systems, devices, and applications required to assess vulnerabilities and recommend optimal solutions and security strategies. Your experience is needed to develop and implement security solutions that protect our military and infrastructure. Join a team of communications and systems engineers supporting engineering, sustainment, and management of communications systems. You’ll perform ongoing system analyst activities for programs, perform risk assessments of systems and equipment, assist engineers with identifying solutions for vulnerabilities, create and map Security Technical Implementation Guides (STIGs), submit change requests for system components, develop a Plan of Action and Milestones (POA&M), create documentation supporting Risk Management Framework (RMF) accreditations, perform vulnerability management using automated systems, and create and submit RMF packages. You’ll brief the technical security posture to client leadership, prepare brief slides and summaries of vulnerabilities, and advise on how to prevent and mitigate future security threats. In this role, you’ll closely impact a national security level communications system that provides vital information to strategic and tactical users of the DoD Teleport communications systems. With mentoring, challenging hands‑on problem‑solving, and opportunities to learn new tools and skills, we focus on growing as a team to make the best solutions for our customers. What You’ll Work On: Develop relationships quickly and easily with other teams, communicating the complexities of security with a wide variety of audiences, including senior management. Implement infrastructure and cybersecurity controls, including enhanced detection and vulnerability capabilities and improved event correlation in large enterprises. Perform risk and vulnerability assessments in network, system, and application areas and leverage big data analytics and traditional security event types to identify advanced threats or indicators of compromise. Participate in the development of test strategies and conduct of testing, validating, and implementing applicable STIG requirements for current or new systems. Conduct periodic self‑assessments of systems to ensure STIG compliance and create STIG checklists to support periodic self‑assessments. Perform Information Assurance Vulnerability Management (IAVM) activities such as IA vulnerability alerts, bulletins, and task‑ing orders and develop a systematic approach for responses to IAVM related issues to maintain system compliance. You Have: 7+ years of experience implementing, testing, and validating STIGs, performing system self‑assessments, and creating STIG checklists 7+ years of experience executing IAVM actions, such as IAVA alerts, bulletins, or tasking orders, and developing compliant engineering responses 7+ years of experience deploying and validating ESS, ACAS, and CMRS, analyzing ACAS scans, developing remediation strategies, and implementing patches and upgrades 7+ years of experience reviewing cybersecurity and engineering change requests to ensure operational availability and compliance Knowledge of RMF and its application to networks and IT systems, such as Cisco routers, switches, Active Directory, or access control Ability to manage users in Windows or Linux and administer VMs in VMware or Hyper‑V Ability to accredit and secure DoD systems using RMF, perform IAVA analysis, document POA&Ms, and prepare security assessment artifacts HS diploma or GED Security+ Certification Nice If You Have: Possession of excellent verbal and written communication skills Cybersecurity Certification, such as CISSP or Certified Ethical Hacker Certification, or Networking Certification, such as Network+ or Cisco Certification Cinteot is seeking an experienced Enterprise Security Architect to join our Information Technology department. This remote position is ideal for individuals who are passionate about defining security architecture standards and creating frameworks that enable secure‑by‑design solutions. You will play a critical role in shaping our security landscape and driving the adoption of zero‑trust architecture across the enterprise. Key Responsibilities: Define enterprise security architecture standards and create security patterns. Establish security controls by application tier and document encryption standards. Lead the enterprise adoption of zero‑trust architecture through actionable templates. Review solution architectures for compliance with security patterns. Conduct threat modeling and establish security compliance frameworks. Required Qualifications: Bachelor's degree in Computer Science, Information Security, or related field. 7+ years in security architecture or cybersecurity. Proven experience with zero‑trust architecture and security controls frameworks. CISSP certification is required. Comprehensive health, dental, and vision insurance. Professional development opportunities and certifications support. Company Culture & Values: At Cinteot, we foster a culture of collaboration, innovation, and continuous improvement. Our team values a pattern‑first mindset, enabling consistency and quality in our solutions. We are committed to supporting each other and working as strategic partners across all operational teams. #J-18808-Ljbffr SCALIS