AI DevOps Engineer

PingWind•Rockville, MD

3d•Onsite

About The Position

PingWind is seeking an AI DevOps Engineer to support the Agency for Healthcare Research and Quality’s Artificial Intelligence/Machine Learning strategy in Rockville, Maryland. The role emphasizes artificial intelligence and machine learning and contributes to the quality and reliability of AHRQ applications and products. The engineer will provide application, feature, and infrastructure development, coordinate with developers and database administrators, build reusable code, and collaborate with cross-functional teams to deliver software and infrastructure to stakeholders and users. The position involves AI/ML engineering and solution architecture, including generative AI and large language models, prototyping, testing, evaluation, performance assessment, monitoring, and integration and deployment of AI/ML capabilities in approved environments. It also covers DevOps and systems work across cloud platforms, operating systems, servers, networks, databases, web technologies, application servers, and build and release pipelines. The engineer will work with stakeholders on requirements, contribute to Agile planning and ceremonies, monitor and optimize application and infrastructure performance, implement security and data-protection measures, document technical processes, and support team development through cross-training and mentorship. The position is onsite in Rockville, Maryland, with possible travel across the United States. Candidates must be able to obtain Public Trust clearance. A bachelor’s degree in IT, Computer Science, or a related field is preferred; the posting states that degrees may be substituted for years of experience, with eight years of experience listed as the substitution. The salary range is $115,000–$160,000.

Requirements

Bachelor’s degree in IT, Computer Science, or a related field is preferred; the posting allows degrees to be substituted for years of experience and lists eight years for the substitution.
Ten years of relevant experience.
Experience in artificial intelligence and machine learning engineering.
Experience with generative AI and large language models.
Experience with AI solution architecture and systems engineering.
Experience with AI/ML prototyping, testing, evaluation, performance assessment, and monitoring.
Experience integrating and deploying AI/ML capabilities within approved cloud, application, and infrastructure environments.
Knowledge of responsible AI, information security, privacy, documentation, and technical risk management.
Ten or more years building software from source, managing third-party dynamic libraries, and identifying build-time issues and incompatibilities.
Ten or more years of database experience.
Ten or more years of experience with web and Internet technologies, including HTML, XML, JSON, HTTP, CSS, SMTP, DNS, HTTP Cache Expires headers, REST services, OAuth 2, and SSL certificates.
Ten or more years installing, configuring, and maintaining local services (daemons).
Ten or more years of experience with Windows Server, Linux, command-line shells, software installation, packages, editors, configuration, and revision control of configuration.
Ten or more years of experience with scripting languages including Ruby, Shell, Perl, Bash, PowerShell, and Python.
Ten or more years of experience with version control tools such as Git, TFS, CVS, and SVN.
Ten or more years configuring, managing, and supporting application and web servers such as Apache HTTPD, NGINX, and Java containers.
Ten or more years of cloud build and release engineering/DevOps experience, including AWS and Azure.
Ten or more years of experience with AWS services including EC2, S3, CloudFront, CloudWatch, SQS, ELB, VPC, RDS, IAM, CloudFormation, and CloudTrail.
Ten or more years of experience with Linux/Unix system-level tools such as LogRotate, Cron, user/group permissions, and services.
Ten or more years in a support role working with application and operations teams to resolve issues and incidents.
Ability to obtain Public Trust clearance.

Nice To Haves

Experience applying artificial intelligence and machine learning.
Knowledge of database systems and cloud platforms.
Familiarity with Agile and Scrum methodologies.
Strong problem-solving skills and attention to detail.
Excellent teamwork and communication skills.
Ability to work independently, manage multiple tasks, and meet project deadlines.
Commitment to delivering high-quality software.

Responsibilities

Create and support effective continuous integration pipelines.
Implement, install, upgrade, troubleshoot, and manage the configuration and maintenance of servers and networks in the client’s environment.
Collaborate with groups to manage systems, including troubleshooting, configuration, DNS, hostnames, networking, web-service client configuration, VM installation and upgrades, deployment, analysis tools, and incident management.
Collaborate with stakeholders and users in requirements development.
Provide application, feature, and infrastructure development, working with the Software Architect to plan team projects.
Coordinate with developers and DBAs during application development, enhancement, and ongoing maintenance.
Participate in Agile Scrum ceremonies to facilitate development and keep the team accountable to the product roadmap.
Develop reusable code to automate processes and enable rapid development.
Write clean, efficient, scalable code following best practices.
Monitor infrastructure and application performance.
Debug, troubleshoot, and optimize application performance.
Participate in code reviews to ensure code quality and adherence to standards.
Implement security and data-protection measures.
Document technical specifications and development processes.
Stay current with emerging technologies and industry trends.
Provide team cross-training and mentorship on industry standards and best practices.