AI/Cloud Engineer/Architect
DecisionPoint Technologies, Inc.2 years ago
Responsibilities
- Design and build secure AI-enabled knowledge assistants for mission and operational use cases.
- Develop retrieval workflows and retrieval-augmented applications using authoritative enterprise content and data sources.
- Design bounded multi-step agents with defined tools, permissions, 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, role-based access controls, tool permissions, source citations, audit logging, exception handling, and safe failure modes.
- Develop automated unit, integration, API, regression, security, and workflow tests.
- Design secure cloud architectures, data pipelines, retrieval services, model access, monitoring, and operational support.
- Integrate AI capabilities with cloud platforms, applications, databases, data warehouses, identity services, APIs, and business workflows.
- Support monitoring of retrieval quality, application behavior, model performance, model drift, security events, and operational exceptions.
- Establish technical patterns for prompt management, retrieval configuration, agent orchestration, version control, testing, deployment, and rollback.
- Prepare architecture diagrams, interface specifications, data-flow diagrams, security documentation, operating procedures, and technical guidance.
- Coordinate with cybersecurity, software, data, testing, infrastructure, and operations teams on secure implementation and troubleshooting.
- Support code and architecture reviews, release readiness, 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 10 years of relevant professional experience.
- Experience designing or implementing cloud architectures, retrieval workflows, AI agents, multi-step AI workflows, and secure application integrations.
- Strong hands-on experience with Python or other approved application-development languages.
- Experience designing, developing, securing, and integrating APIs.
- 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, human approval steps, and secure scalable technical solutions.
- Understanding of cloud security, application security, identity and access management, data protection, and secure integration patterns.
- Ability to prepare architecture diagrams, interface documentation, technical designs, and operating guidance.
- Strong written and verbal communication skills for explaining architecture, risks, and recommendations to technical and nontechnical stakeholders.
- Preferred qualifications include relevant cloud architecture certification, CISSP or CSSLP certification aligned with DoD 8570 IASAE Level II or successor requirements, federal or Department of Defense experience, and experience with retrieval-augmented generation.
- Preferred experience includes vector databases, semantic search, embeddings, document processing, enterprise search, AI agent frameworks, orchestration platforms, responsible AI controls, model monitoring, Kubernetes, serverless architectures, managed AI platforms, and regulated cloud environments.
Benefits
- Remote work arrangement.
- Part-time schedule representing approximately 0.5 full-time-equivalent effort.
- Chicago-area candidates are preferred.
- The position supports a government contract bid, and applicants acknowledge that their resumes may be included in the active competitive bid.
Tech Stack
Categories
About DecisionPoint Technologies, Inc.
DecisionPoint Technologies, Inc. provides enterprise mobility and edge technology integration for large organizations, combining its IntelliTrack asset and inventory platform with managed services such as device lifecycle management, RFID, and help desk support. The company sells hardware, software, and implementation/support services to enterprises in supply chain, retail, and government. Headquartered in Baltimore, Maryland, it operates across the U.S. and Canada and is privately held.