AI/Cloud Engineer – Architect

DecisionPoint Corporation

. Design and build secure AI-enabled knowledge assistants for mission and operational use cases .

Posted 10/28/2026part-timeRemote • Illinois • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing secure AI-enabled applications and cloud architectures, with a strong focus on API development, authentication, and data protection. Proficient in Python and experienced in developing automated testing and retrieval workflows for mission-critical systems.

Highest-signal resume keywords

Python ProgrammingCloud Architecture DesignAPI Development and IntegrationAI Agent ImplementationApplication Security and Authentication

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI Application DevelopmentSecure API DesignAutomated TestingData Protection MechanismsRetrieval Workflow DevelopmentException HandlingAudit LoggingIdentity and Access ManagementCloud Security PracticesArchitecture Documentation

Soft Skills

Strong Written CommunicationVerbal Communication Skills

Certifications & Qualifications

Active Secret ClearanceCloud Architecture CertificationCISSP CertificationCSSLP Certification

Industry Keywords

AI-Enabled Knowledge AssistantsSecure Integration PatternsOperational RequirementsMission Use CasesCybersecurity Coordination

Tech Stack

Tools & technologies

CloudCyber SecurityMicroservicesPython

About the role

Key responsibilities & impact

Design and build secure AI-enabled knowledge assistants for mission and operational use cases
Develop retrieval workflows connecting approved 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, application interfaces, and integration patterns
Implement authentication, authorization, identity propagation, and role-based access controls
Establish tool-level permissions and safeguards for AI agents
Implement source citations and traceable references for AI-generated responses
Develop grounding, retrieval, and validation mechanisms
Incorporate human-review and approval checkpoints for sensitive or consequential actions
Implement exception handling, retries, timeouts, escalation paths, and safe failure modes
Create audit logs covering user activity, data access, retrieval results, agent actions, tool invocations, approvals, exceptions, and outcomes
Develop automated unit, integration, API, regression, security, and workflow tests
Validate functional, security, performance, traceability, and usability requirements
Design secure cloud architectures for AI applications, data pipelines, retrieval services, model access, integration, monitoring, and operations
Integrate AI capabilities with cloud platforms, applications, databases, data warehouses, identity services, APIs, and business workflows
Support secure data pipelines and AI-ready data architectures
Collaborate with data teams to ensure approved, accurate, governed, and secured data use
Support monitoring for retrieval quality, application behavior, model performance, drift, security events, and operational exceptions
Establish technical patterns for prompt management, retrieval configuration, agent orchestration, version control, testing, deployment, and rollback
Evaluate architecture alternatives and document decisions, constraints, risks, dependencies, and recommendations
Develop architecture diagrams, interface specifications, data-flow diagrams, security documentation, operating procedures, and implementation guidance
Coordinate with cybersecurity personnel on application security, cloud security, data protection, authorization, vulnerabilities, and inspection readiness
Support code and architecture reviews and provide technical guidance
Troubleshoot AI application, retrieval, API, authentication, data-access, and cloud-integration failures
Support release readiness, implementation, technical validation, operational handoff, and knowledge transfer

Requirements

What you’ll need

Active Secret clearance or higher
Bachelor’s degree in computer science, software engineering, information technology, or a related field, or a permitted equivalent
Minimum of 10 years of relevant professional experience
Experience designing or implementing cloud architectures
Strong hands-on experience with Python or other approved application-development 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 with the ability to explain technical architecture, risks, and recommendations to technical and nontechnical stakeholders
Relevant cloud architecture certification, CISSP/CSSLP certification, federal or Department of Defense program experience, and other listed preferred qualifications are preferred but not required

Benefits

Comp & perks

Part-time position supporting approximately 0.5 full-time-equivalent effort
Remote work arrangement
Chicago-area candidates preferred