Cloud Engineer, AI
About The Company DecisionPoint Corporation is a leading provider of innovative technology solutions, specializing in delivering secure, scalable, and mission-critical applications to government and commercial clients. With a strong commitment to excellence and integrity, DecisionPoint focuses on integrating advanced technologies such as artificial intelligence and cloud computing to enhance operational effectiveness. The company fosters a collaborative environment that encourages professional growth and values diversity, equity, and inclusion in all aspects of its operations. About The Role DecisionPoint is seeking a part-time AI/Cloud Engineer/Architect to support the USMEPCOM ENLIST program by designing, building, integrating, and securing artificial intelligence capabilities. This senior-level role requires expertise in developing knowledge assistants, retrieval workflows, and bounded multi-step AI agents that improve government operations while ensuring security, traceability, and human oversight. The successful candidate will combine cloud architecture, secure application engineering, API integration, and AI workflow orchestration to deliver robust, scalable solutions. This position involves close collaboration with mission owners, software developers, data professionals, cybersecurity experts, testers, and infrastructure teams. The role is remote with a preference for candidates located near the Chicago area and requires approximately 0.5 full-time equivalent effort. Applicants should be prepared for their resumes to be included in an active competitive government contract bid process.
Qualifications
Active Secret clearance or higher Bachelor’s degree in computer science, software engineering, information technology, or a related field, or an equivalent combination of education and experience Minimum of 10 years of relevant professional experience Experience designing or implementing cloud architectures Strong hands-on experience with Python or other government-approved application languages Experience designing, developing, securing, and integrating APIs Experience designing or implementing retrieval workflows Experience with secure application integration Experience designing or implementing AI agents or multi-step AI workflows Ability to build knowledge assistants, retrieval-enabled applications, and bounded agentic capabilities Experience implementing application authentication and authorization controls Experience developing automated tests for applications, APIs, integrations, or AI workflows Ability to implement source citations, tool permissions, exception handling, audit logging, and human approval steps Understanding of cloud security, application security, identity and access management, data protection, and secure integration patterns Ability to translate mission and operational requirements into secure, scalable, testable, and maintainable technical solutions Ability to prepare and maintain architecture diagrams, interface documentation, technical designs, and operating guidance Strong written and verbal communication skills for technical and non-technical audiences
Preferred Qualifications
Relevant cloud architecture certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, Google Professional Cloud Architect) CISSP or CSSLP certification aligned with DoD 8570 IASAE Level II or successor requirements Experience supporting federal or Department of Defense programs Experience developing retrieval-augmented generation applications Familiarity with vector databases, semantic search, embeddings, document processing, or enterprise search platforms Experience with AI agent frameworks, orchestration platforms, or tool-calling architectures Knowledge of responsible AI controls, output validation, model monitoring, drift detection, and safeguards against unsupported responses Experience with cloud-native services, containers, Kubernetes, serverless architectures, or managed AI platforms Experience with infrastructure as code, CI/CD pipelines, automated deployment, observability, and rollback automation Experience working with controlled unclassified information or regulated cloud environments Familiarity with DoD Impact Level 4 or comparable government cloud-security requirements Experience integrating AI capabilities with enterprise identity, data warehouse, business intelligence, knowledge management, or workflow platforms
Responsibilities
Design and develop secure AI-enabled knowledge assistants for mission-critical and operational use cases Create retrieval workflows connecting AI capabilities with authoritative enterprise content and data sources Design bounded multi-step AI agents with defined tools, permissions, operating limits, escalation paths, and human approval requirements Develop AI applications and supporting services using Python or other government-approved languages Design and implement secure APIs, microservices, and integration patterns Implement authentication, authorization, identity propagation, and role-based access controls for AI applications Establish tool-level permissions and safeguards limiting AI agents to approved systems, data, and actions Implement source citations and traceable references to validate AI-generated responses Develop grounding, retrieval, and validation mechanisms to improve AI content accuracy and reliability Incorporate human-review and approval checkpoints for sensitive or consequential workflows Implement exception handling, retry controls, timeout behavior, escalation paths, and safe failure modes Create audit logs capturing user activity, data access, retrieval results, agent actions, approvals, exceptions, and system outcomes Develop automated unit, integration, API, regression, security, and workflow tests for AI capabilities Validate that AI components meet functional, security, performance, traceability, and usability requirements Design secure cloud architectures supporting AI applications, data pipelines, retrieval services, and operational support Integrate AI capabilities with approved cloud platforms, applications, databases, identity services, and business workflows Support secure data pipelines and AI-ready data architectures for retrieval, analysis, automation, and decision support Collaborate with data teams to ensure use of approved, accurate, governed, and secured data Monitor retrieval quality, application behavior, model performance, security events, and operational exceptions Establish technical patterns for prompt management, retrieval configuration, agent orchestration, version control, testing, deployment, and rollback Evaluate cloud and AI architecture alternatives and document technical decisions, constraints, risks, and recommendations Develop architecture diagrams, interface specifications, data-flow diagrams, security documentation, and operational procedures Coordinate with cybersecurity personnel to address application and cloud security, data protection, vulnerability remediation, and inspection readiness Support code and architecture reviews and provide technical guidance to development and operational teams Assist with troubleshooting AI application, retrieval, API, authentication, data access, and cloud integration issues Support release readiness, implementation, technical validation, operational handoff, and knowledge transfer activities
Benefits
Flexible remote work arrangement with part-time hours Opportunity to work on cutting-edge AI and cloud technologies supporting government missions Collaborative and inclusive work environment Professional growth and development opportunities Engagement with cross-functional teams across software development, data science, cybersecurity, and operations Equal Opportunity DecisionPoint Corporation is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of DecisionPoint Corporation to provide equal employment opportunity in accordance with all applicable Equal Employment Opportunity/Affirmative Action laws, directives, and regulations to all employees and qualified applicants without regard to race, ethnicity, color, religion, national origin, sex, age, disability status, pregnancy, sexual orientation, gender identity, genetic information, protected veteran status, or any other protected status under Federal, State, or Local laws. In accordance with Presidential Executive.