Cybersecurity Jobs in Suitland, MD

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Senior AI/Cybersecurity Solutions Engineer

RCG Suitland, MD

Suitland, MD

Today

$130k - $140k/yr Full time Senior Agent Ai Security

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Job Description

Senior AI/Cybersecurity Solutions Engineer role supporting a federal Security, Architecture, and Engineering (SAE) team in Suitland, MD.

Responsibilities

Design and implement Amazon Bedrock agent action groups, including OpenAPI schemas and Python Lambda execution layers
Build Retrieval-Augmented Generation (RAG) pipelines using Bedrock Knowledge Bases with sources including NIST 800-53, CIS Benchmarks, organizational SSPs, and threat intelligence
Engineer prompts, guardrails, and input validation to improve accuracy, security, and resistance to prompt-injection attacks
Evaluate and evolve foundation-model strategies as platform requirements and AI capabilities mature
Develop AI-assisted workflows for security assessment, remediation, hardening, alert triage, and compliance operations
Automate NIST 800-53 control assessments and security evidence collection capabilities
Implement remediation and hardening automation across AWS services including S3, EC2, IAM, CloudTrail, ECS, and EKS
Integrate live security data from AWS Security Hub, GuardDuty, Inspector, and Config to enable environment-aware analysis and AI-assisted decisions
Support BOD 26-04 SLA logic, CISA KEV correlation, risk enrichment, and remediation SLA tracking
Support security telemetry aggregation and SIEM integrations including Microsoft Sentinel and AWS Security Lake
Support ECR vulnerability scanning, EKS runtime monitoring, and container configuration hardening
Develop and analyze SBOMs using formats such as SPDX and CycloneDX
Correlate vulnerabilities with the CISA Known Exploited Vulnerabilities (KEV) catalog for risk-based prioritization
Perform software supply-chain security checks for dependencies, provenance, and threats including typosquatting and unsigned container images
Maintain GitLab CI/CD pipelines for linting, testing, security scanning, builds, and deployments
Implement secure OIDC-based AWS authentication
Develop and manage Infrastructure as Code using CloudFormation and/or Terraform with least-privilege IAM
Support deployment and rollout verification across application and Kubernetes/EKS environments
Maintain strong Git practices including branching, merge requests, and clean version-control history
Manage technical work via Jira (tickets, epics, sub-tasks, workflows, status, and handoffs)
Maintain documentation in Confluence including architecture guides, runbooks, decision records, and onboarding materials
Produce technical design documentation, evidence packages, and audit-ready artifacts for federal assessments
Maintain traceability between requirements, engineering work, code, deployments, and security evidence
Own assigned technical workstreams and collaborate with cybersecurity and engineering teams

Requirements

Bachelor’s degree in computer science, Cybersecurity, or a related technical discipline
6+ years of cloud security engineering experience
2+ years of production experience with generative AI/LLM technologies
4+ years experience working with AWS security services
3+ years supporting federal compliance frameworks such as NIST, FedRAMP, and FISMA
2+ years active Jira and Confluence experience in an Agile or technical delivery environment
Expert-level Python development experience including Python 3.11+, boto3, type hints, and robust error handling
Advanced experience with Amazon Bedrock including agents, action groups, Knowledge Bases, guardrails, prompt engineering, and RAG
Expert knowledge of AWS security technologies including Security Hub, GuardDuty, Inspector, Config, IAM, CloudTrail, and OIDC
Advanced container security experience with ECR, ECS/EKS, image scanning, runtime monitoring, and hardening
Expert knowledge of NIST SP 800-53 Rev. 5 including control families, assessment procedures, and evidence requirements
Advanced experience with CI/CD and Infrastructure as Code including GitLab CI and CloudFormation and/or Terraform
Advanced Git/version-control experience
Demonstrated experience managing technical work in Jira and maintaining team documentation in Confluence

Technologies

Amazon Bedrock, OpenAPI, Python, AWS Lambda
Retrieval-Augmented Generation (RAG), Bedrock Knowledge Bases, Amazon Bedrock agents, guardrails
NIST 800-53, NIST SP 800-53 Rev. 5, CIS Benchmarks, System Security Plans (SSPs)
prompt-injection attacks
AWS security services: AWS Security Hub, GuardDuty, Inspector, Config, IAM, CloudTrail, OIDC
AWS services: S3, EC2, ECS, EKS, Kubernetes
Microsoft Sentinel, AWS Security Lake
ECR, SBOMs (SPDX, CycloneDX), CISA Known Exploited Vulnerabilities (KEV)
GitLab CI/CD pipelines, GitLab CI, Jira, Confluence, Git, CI/CD
Infrastructure as Code: CloudFormation, Terraform
BOD 26-04, BOD 26-04
FedRAMP, FISMA

Benefits

Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k, IRA)
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation, Sick & Public Holidays)
Family Leave (Maternity, Paternity)
Short Term & Long Term Disability
Training & Development
Wellness Resources
401(k) with company match

Preferred Qualifications

Master’s degree in a related technical discipline
3+ years of experience building production AI agents
Experience supporting ATO and continuous monitoring activities
Experience administering or configuring Jira boards and Confluence spaces
Experience supporting federal IT security programs
Familiarity with CISA Binding Operational Directives, including BOD 22-01 and BOD 26-04
Experience with AWS Security Lake, OCSF, OSCAL machine-readable compliance, or Microsoft Sentinel integration
Experience with AI red teaming or adversarial testing of LLM applications
Familiarity with software supply-chain technologies and frameworks such as SLSA, Sigstore, and in-toto
Certifications such as AWS Certified Security – Specialty, CISSP, CISM, CKS, or AWS machine learning certification are preferred

Work Environment

Full-time, 100% on-site position in Suitland, MD supporting a federal government cybersecurity and enterprise IT environment
Technical environment includes AWS, Amazon Bedrock, EKS, GitLab, GitLab CI, AWS CodePipeline, Jira, Confluence, Python, VS Code, Jupyter Notebook, and related cloud and cybersecurity technologies

Additional Notes

Must be a U.S. Citizen or Lawful Permanent Resident and eligible to obtain and maintain a Public Trust
Employment contingent upon successful completion of applicable government background investigation and customer onboarding requirements

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