{"id":3416224,"url":"https://alion.io/job/decisionpoint-corporation-aicloud-engineerarchitect","title":"AI/Cloud Engineer/Architect","company":{"id":3863688,"name":"DecisionPoint Corporation","domain":"decisionpointcorp.com","url":"https://alion.io/company/decisionpoint-corporation","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-11-09T06:03:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":122000,"max_usd":243000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":890},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Python","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Embeddings","optional":true},{"name":"Kubernetes","optional":true},{"name":"RAG","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-10-28T19:31:47Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-09T22:44:25Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Overview\nDecisionPoint seeks a part-time AI/Cloud Engineer/Architect to design, build, integrate, and secure artificial intelligence capabilities supporting the USMEPCOM ENLIST program. This senior-level position will develop knowledge assistants, retrieval workflows, and bounded multi-step agents that enhance Government operations while maintaining appropriate security, traceability, tool restrictions, and human oversight.\nThe AI/Cloud Engineer/Architect will combine cloud architecture, secure application engineering, API integration, retrieval-based AI, and agentic workflow expertise. The role will implement source citations, authentication and authorization controls, tool permissions, exception handling, audit logging, automated testing, and human approval checkpoints.\nThe successful candidate must be able to translate mission needs into secure, scalable, and supportable AI solutions that integrate with existing applications, data sources, cloud services, and operational workflows. The architect will work closely with mission owners, software teams, data professionals, cybersecurity personnel, testers, and infrastructure teams.\nThis is a remote, part-time position supporting approximately 0.5 full-time-equivalent effort. Chicago-area candidates are preferred.\nNote: By applying to this position, you acknowledge and consent to having your resume included in an active competitive government contract bid.\nDuties & Responsibilities\nThe AI/Cloud Engineer/Architect will:\nDesign and build secure AI-enabled knowledge assistants for mission and operational use cases. \nDevelop retrieval workflows that connect approved AI capabilities with authoritative enterprise content and data sources. \nDesign bounded multi-step AI agents with explicitly defined tools, permissions, operating limits, escalation paths, and human approval requirements. \nDevelop AI applications and supporting services using Python or other Government-approved application languages. \nDesign and implement secure APIs, microservices, application interfaces, and integration patterns. \nImplement authentication, authorization, identity propagation, and role-based access controls for AI-enabled applications. \nEstablish tool-level permissions and safeguards that limit AI agents to approved systems, data, functions, and actions. \nImplement source citations and traceable references so users can identify the authoritative information supporting AI-generated responses. \nDevelop grounding, retrieval, and validation mechanisms that improve the accuracy and reliability of AI-generated content. \nIncorporate human-review and approval checkpoints into workflows involving sensitive, consequential, or externally executed actions. \nImplement exception handling, retry controls, timeout behavior, escalation paths, and safe failure modes. \nCreate audit logs that capture user activity, data access, retrieval results, agent actions, tool invocations, approvals, exceptions, and relevant system outcomes. \nDevelop automated unit, integration, API, regression, security, and workflow tests for AI-enabled capabilities. \nValidate that knowledge assistants, retrieval workflows, and agents meet functional, security, performance, traceability, and usability requirements. \nDesign secure cloud architectures supporting AI applications, data pipelines, retrieval services, model access, application integration, monitoring, and operational support. \nIntegrate AI capabilities with approved cloud platforms, applications, databases, data warehouses, identity services, APIs, and business workflows. \nSupport secure data pipelines and AI-ready data architectures used for retrieval, analysis, automation, and decision support. \nCollaborate with data teams to ensure retrieval and AI workflows use approved, accurate, governed, and appropriately secured data. \nSupport monitoring for retrieval quality, application behavior, model performance, model drift, security events, and operational exceptions. \nEstablish technical patterns for prompt management, retrieval configuration, agent orchestration, version control, testing, deployment, and rollback. \nEvaluate cloud and AI architecture alternatives and document technical decisions, constraints, risks, dependencies, and recommendations. \nDevelop architecture diagrams, interface specifications, data-flow diagrams, security documentation, operating procedures, and technical implementation guidance. \nCoordinate with cybersecurity personnel to address application security, cloud security, data protection, authorization, vulnerability remediation, and inspection-readiness requirements. \nSupport code and architecture reviews and provide technical guidance to developers, integration engineers, testers, and operational teams. \nAssist with troubleshooting AI application, retrieval, API, authentication, data-access, and cloud-integration failures. \nSupport release-readiness, implementation, technical validation, operational handoff, and knowledge-transfer activities. \nQualifications\nRequired Qualifications\nCandidates must meet all the following requirements:\nActive Secret clearance or higher. \nBachelor’s degree in computer science, software engineering, information technology, or a related field, or a permitted equivalent. \nMinimum of 10 years of relevant professional experience. \nExperience designing or implementing cloud architectures. \nStrong hands-on experience with Python or other approved application-development languages. \nExperience designing, developing, securing, and integrating APIs. \nExperience designing or implementing retrieval workflows. \nExperience with secure application integration. \nExperience designing or implementing AI agents or multi-step AI workflows. \nAbility to build knowledge assistants, retrieval-enabled applications, and bounded agentic capabilities. \nExperience implementing application authentication and authorization controls. \nExperience developing automated tests for applications, APIs, integrations, or AI workflows. \nAbility to implement source citations, tool permissions, exception handling, audit logging, and human approval steps. \nUnderstanding of cloud security, application security, identity and access management, data protection, and secure integration patterns. \nAbility to translate mission and operational requirements into secure, scalable, testable, and maintainable technical solutions. \nAbility to prepare and maintain architecture diagrams, interface documentation, technical designs, and operating guidance. \nStrong written and verbal communication skills with the ability to explain technical architecture, risks, and recommendations to technical and nontechnical stakeholders. \nPreferred Qualifications\nThe following qualifications are preferred but are not required:\nRelevant cloud architecture certification, such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, Google Professional Cloud Architect, or a comparable credential. \nCISSP or CSSLP certification aligned with DoD 8570 IASAE Level II or applicable successor qualification requirements. \nExperience supporting federal or Department of Defense programs. \nExperience developing retrieval-augmented generation applications. \nExperience with vector databases, semantic search, embeddings, document processing, or enterprise search platforms. \nExperience with AI agent frameworks, orchestration platforms, or tool-calling architectures. \nExperience implementing responsible AI controls, output validation, model monitoring, drift detection, or safeguards against unsupported responses. \nExperience with cloud-native services, containers, Kubernetes, serverless architectures, or managed AI platforms. \nExperience with infrastructure as code, continuous integration and delivery, automated deployment, observability, and rollback automation. \nExperience working with controlled unclassified information or systems operating in regulated cloud environments. \nFamiliarity with DoD Impact Level 4 or comparable Government cloud-security requirements. \nExperience integrating AI capabilities with enterprise identity, data warehouse, business intelligence, knowledge management, or workflow platforms. \nSkills\nCloud and AI solution architecture. \nPython and secure application development. \nAPI design and application integration. \nRetrieval workflow and knowledge-assistant development. \nAgentic workflow design and orchestration. \nAuthentication, authorization, and tool-permission design. \nAutomated testing and technical validation. \nAudit logging, exception handling, and observability. \nSecure data-pipeline and application-integration patterns. \nArchitecture documentation and technical communication. \nAnalytical troubleshooting and root-cause investigation. \nCross-functional collaboration with mission, software, data, security, testing, and operations teams. \nOur Equal Employment Opportunity Policy\nEEO and Affirmative Action Policy: 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.\n Pay Transparency Policy: In accordance with Presidential Executive Order 13665, DecisionPoint Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.\n Authorization to Share Resume and Personal Information: By expressing your interest and submitting your resume for this position, you authorize DecisionPoint Corporation to share your resume, as well as personal information included on the resume, with its subsidiaries, affiliates and teaming partners for the purpose of considering you for this position and other available positions requiring comparable skills, education and experience. 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