Ml Infrastructure Engineer Jobs in Washington (NOW HIRING)

Empower AI is AI for government. Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation. Headquartered in Reston, Va., Empower AI leverages three decades of experience solving complex challenges in Health, Defense, and Civilian missions. Our proven Empower AI Platform provides a practical, sustainable path for clients to achieve transformation that is true to who they are, what they do, how they work, with the resources they have. The result is a government workforce that is exponentially more creative and productive. For more information, visit www.Empower.ai.

Empower AI is proud to be recognized as a 2024 Military Friendly Employer by Viqtory, the publisher of G.I. Jobs. This designation reflects the company's commitment to hiring and supporting active-duty and veteran employees.

In this role, you will architect, implement, and optimise enterprise-scale cloud infrastructure leveraging AWS services and leading DevOps practices. You will work closely with multidisciplinary teams to ensure highly available, resilient, and cost-effective environments underpin our clients' digital transformation initiatives. This is a unique opportunity for technically adept individuals to contribute directly to expanding cloud and infrastructure capabilities.

Key Responsibilities - AWS Architecture, DevOps Engineering, Security, and Automation

• Design, build, and maintain secure, scalable cloud infrastructure using AWS (EC2, S3, VPC, IAM, Lambda, RDS, etc.).
• Develop and manage Infrastructure as Code (IaC) solutions with tools such as CloudFormation, Terraform, or AWS CDK.
• Implement automation pipelines for provisioning, configuration management, and deployment by utilising DevOps tools (e.g., Jenkins, GitHub Actions, Ansible, Docker, Kubernetes).
• Collaborate with software engineers, architects, and security specialists to deliver resilient, high-performance solutions tailored to client and project requirements.
• Monitor and optimise cloud infrastructure for cost, reliability, and performance, recommending improvements where needed.
• Maintain and enhance operational security, enforcing best practices, policies, and controls in cloud environments.
• Troubleshoot and resolve infrastructure issues efficiently, ensuring minimum disruption to mission-critical services.
• Champion knowledge sharing and continuous improvement within the cloud engineering community of the organisation.
• Evaluate and integrate AI/ML and generative AI capabilities (e.g., AWS Bedrock, SageMaker) into cloud architectures to support intelligent automation and data-driven operations.
• Leverage AI-assisted DevOps and coding tools to accelerate infrastructure-as-code development, testing, and anomaly detection.

Requirements:

• • Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical field, or relevant professional experience.
  • 10+ years of hands-on experience designing, deploying, and managing cloud infrastructure, with a significant focus on AWS services.
  • US Citizen with ability to obtain Public Trust Clearance
  • Advanced knowledge of AWS architecture, service deployment, networking, and security concepts.
  • Proficiency in Infrastructure as Code tools (e.g., CloudFormation, Terraform, or equivalent).
  • Experience with CI/CD pipeline creation, automation workflows, and relevant DevOps toolchains.
  • Strong scripting skills (e.g., Python, Bash, PowerShell) for automation and system integration tasks.
  • Thorough understanding of cloud security best practices, incident response, compliance, and monitoring.
  • Skilled in collaborative working with cross-functional, technical, and non-technical teams.
  • Analytical thinker with a solution-oriented approach to technical challenges.
  • Commitment to maintaining an inclusive, high-trust, and growth-driven team culture.
  • Advanced AWS, Cloud Migration, and Containerisation skills
  • Working knowledge of AWS AI/ML services (e.g., Bedrock, SageMaker, Comprehend) and how to incorporate them into cloud infrastructure design.
  • Experience with hybrid and multi-cloud environments or cloud migration projects.
  • Ability to design and manage container-based workloads using Docker and/or Kubernetes on AWS EKS.
  • Knowledge of monitoring and logging tools (e.g., CloudWatch, Splunk, Datadog, Prometheus), and cost management strategies in AWS.
  • Hands-on experience deploying or fine-tuning generative AI/LLM solutions on AWS (Bedrock, SageMaker JumpStart) or with MLOps pipelines.
  • Familiarity with AI-powered DevOps/AIOps tooling for predictive monitoring, automated remediation, and intelligent alerting.

Desired:

• Relevant AWS certifications (e.g., AWS Solutions Architect, SysOps Administrator, DevOps Engineer) strongly preferredL
• Exposure to compliance standards such as ISO 27001, SOC 2, or FedRAMP is advantageous.
• Excellent communication and organizational skills are required
• Ability to interact effectively with colleagues
• Must be able to work in a team environment and adapt to change
• Must be customer / service focused.

Physical Requirements:

This position requires the ability to perform the below essential functions:

• Sitting for long periods
• Standing for long periods
• Ambulate throughout an office
• Ambulate between several buildings
• Travel by land or air transportation 10%

All hiring and promotion decisions at Empower AI are based on merit to bring the best talent available to contribute to our firm's overall success. It is the policy of Empower AI not to discriminate against any applicant for employment, or employee because of age, color, sex, disability, national origin, race, religion, or veteran status. Empower AI is a VEVRAA Federal Contractor.

If hired for this position, the base salary range would be within the range provided. The base salary range represents the anticipated low and high end of the salary range for this position. Actual salaries may vary based on various factors including but not limited to work location, skills, experience, gov con contractual requirements, and performance. The range listed is just one component of Empower AI's total compensation package for employees.