AI/Cloud Engineer – Architect

🔥 11 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

⏱ Part Time

🟠 Senior

🔴 Lead

☁️ Cloud Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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DecisionPoint Corporation

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2011

🎖️ Defense

💼 Consulting

📦 Logistics

Defense • Consulting • Logistics

DecisionPoint Corporation is a Service Disabled Veteran Owned Small Business specializing in IT modernization and digital transformation for government agencies. They provide comprehensive services including cybersecurity, health IT, and intelligent automation solutions, aimed at improving operational efficiency and effectiveness while ensuring secure cloud migration. Their Centers of Excellence approach drives mission success by addressing the most pressing challenges faced by government entities through innovative technology and expert support.

📋 Description

• 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

• 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

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