Cloud Engineer - AI Infrastructure

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:

• 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 technologies-including Agentic AI, Generative AI (GenAI), and traditional ML models-within 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., * 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.

• Bachelor’s or Master’s 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.