Cloud Solutions Architect (AI Integration) - SME
- Hiring from
- United States
- Work type
- Hybrid
- Posted
628,603 remote jobs, straight from company career pages
100% free · New jobs every minute
Show job descriptionHide job description
Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth.
We are seeking a Cloud Solutions Architect (AI Integration) provides expert leadership in designing and guiding secure, scalable cloud and hybrid technology solutions that support advanced AI capabilities. This role shapes long term architecture strategies, ensures systems work reliably across multiple environments, and helps the organization safely adopt modern AI and cloud technologies.
Must possess an active Top Secret Clearance
Must be willing and able to obtain a polygraph
Responsibilities
- Lead the design of secure cloud and hybrid architectures that support AI workloads and enterprise systems.
- Develop technology roadmaps and standards that guide long term cloud and AI strategy.
- Ensure systems across cloud, on prem, and multi enclave environments integrate smoothly and securely.
- Establish best practices for automation, Infrastructure as Code, and DevSecOps processes.
- Support governance for AI models and data to ensure compliance and responsible use.
- Evaluate emerging technologies and recommend solutions that enhance performance and security.
- Guide modernization and cloud migration efforts across legacy environments.
- Advise leadership on technical risks, opportunities, and strategic decisions.
Unique Skills / Technical Requirements
- In-house custom developed application
- Advanced AI, GenAI & Multi-Model Engineering
- Multi-model and multi-modality orchestration (reasoning, perception, memory, tool
execution) - Temporal, spatial, geographic, quantitative, and computer vision AI implementation
- Named Entity Recognition (NER), contextual entity extraction, and resolution
- Multi-step retrieval and structured output generation
- Complex data parsing and streamlined ingestion
- Deep source citation and traceable analytic outputs
- Multi-model and multi-modality orchestration (reasoning, perception, memory, tool
- Data Architecture & ETL
- Vector, graph, and multi database orchestration
- Automated ETL pipeline creation, scheduling, and optimization
- Attribute Based Access Control (ABAC) at the data layer
- Provenance and end to end data lineage tracking
- Schema aligned ingestion and normalization of diverse structured and unstructured data
- Enterprise Infrastructure & CrossDomain Solutions
- Air gapped, hybrid, and on premise operational environments
- Container orchestration and distributed systems management (Kubernetes)
- Locally hosted GPU servers and hyperconverged nodes
- Multitenant CrossDomain Solutions (CDS)
- Application Development & Integration
- UI, backend, and middleware engineering (TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, Kubernetes)
- Integration of reasoning components, retrieval systems, databases, and AI / GenAI services
- Use of modern programming languages and frameworks
Required Qualifications
- Bachelor’s degree with 10+ years of relevant experience, or Master’s degree with less than 2 years of relevant experience
- Experience in cloud architecture, engineering, or related technical leadership roles.
- Deep expertise with major cloud platforms and hybrid/on prem environments.
- Strong understanding of secure architecture frameworks, including zero trust.
- Experience supporting AI/ML workloads and high performance compute environments.
Proficiency with Infrastructure as Code and DevSecOps toolsets. - Strong communication skills and ability to translate technical concepts for leadership
Preferred Qualifications
- Experience in classified or multi enclave environments.
- Cloud architecture certifications (e.g., Azure, AWS, GCP).
- Background with AI/ML platforms, data engineering, or HPC systems.
- Advanced degree in a related technical field.
#CJ
Fantom Corp is a Software Development, Agile Cloud, Software Development, Cyber Security (Risk Management, Assessments & Authorization (A&A)), Data, AI Platform (Computer Vision Models), Podcasting Media Services, and IT Services provider. Established in 2015, Fantom Corp serves Federal customers with top-notch Cybersecurity Architects, Data Scientists/Analysts, Software Engineers/Developers, DevSecOps Engineers, Project Managers, Identity, Credential Access Management (ICAM) services , and Cloud-certified practitioners. We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) with a focus on identifying trends, object detection, and classification of structured and unstructured data. Fantom Corp possesses mastery in all aspects of digital audio production. We lead in the ideation and creation of efforts for clients who want to harness the power of podcasting. We guide them in selecting the right show format for their needs and goals. As a Small Business, we possess the innovation, speed and flexibility to meet your requirements.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
#CJ
