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Cloud Engineer – AI Infrastructure
Job Location:
Job Location:
Chantilly, VA - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
29 September 2026 (3 days ago)
Posted:
Application Deadline:
27 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.
Job Title: Cloud Engineer AI Infrastructure
Location: Chantilly VA
Position Summary:
Job Title: Cloud Engineer AI Infrastructure
Location: Chantilly VA
Position Summary:
- We are seeking a skilled and experienced Cloud Engineer to design implement and manage cloud infrastructure supporting AI and ML workloads for a leading independent federal agency focused on financial system stability.
- This role will be critical in enabling scalable secure and compliant deployment of AI technologiesincluding Agentic AI Generative AI (GenAI) and traditional ML modelswithin hybrid cloud environments.
- The engineer will collaborate with AI architects ML engineers and platform teams to ensure high availability performance and governance of AI systems.
Key Responsibilities:
- Cloud Architecture & Infrastructure
- Design and deploy cloud-native infrastructure to support AI/ML workloads including compute clusters storage networking and security controls.
- Implement scalable environments for training inference and orchestration of GenAI and Agentic AI systems.
- Support hybrid cloud configurations and ensure seamless integration with cloud and on-prem systems and data sources.
- AI Platform Enablement
- Provision and manage cloud services for AI platforms including model registries feature stores and agent orchestration layers.
- Optimize cloud resources for performance cost-efficiency and compliance with federal standards.
- Collaborate with ML engineers to support AI/MLOps pipelines and automated deployment workflows.
- Security & Compliance
- Implement cloud security best practices including identity and access management (IAM) encryption logging and monitoring.
- Ensure infrastructure aligns with federal cybersecurity frameworks (e.g. FedRAMP FISMA NIST).
- Support auditability and traceability of AI systems including Agentic AI agents and GenAI models.
- Automation & DevOps
- Develop infrastructure-as-code (IaC) templates using tools.
- Build CI/CD pipelines for cloud infrastructure provisioning and application deployment.
- Monitor system health usage and performance using cloud-native observability tools.
- Collaboration & Support
- Work closely with AI architects developers and data teams to align infrastructure with solution requirements.
- Provide technical documentation and support for cloud environments and services.
- Participate in agile development cycles sprint planning and incident response.
Preferred Skills:
- Experience in public sector or regulated environments.
- Experience with monitoring and observability tools.
Required Qualifications:
- Bachelors or Masters degree in Computer Science Information Systems or a related field.
- 7 years of experience in cloud engineering infrastructure design or DevOps.
- Proficiency with AWS cloud platforms and associated services.
- Experience supporting AI/ML workloads in cloud environments.
- Familiarity with GenAI platforms and Agentic AI system requirements.
- Strong understanding of cloud security networking and automation tools.
- Experience with AI/MLOps container orchestration and serverless architectures.
- Familiarity with agent orchestration frameworks and LLM deployment strategies.
Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age protected veterans or individuals with disabilities.
Required Experience:
IC
