TS/SCI - AI Software Engineer Information Technology Alexandria, Chantilly, St. Louis, VA, MO

Bailey Information Technology Consultants, LLC; Chantilly (VA); On-site; USD 140,000 - 190,000; Full time

Job summary

Bailey Information Technology, LLC is recruiting an experienced AI Engineer to lead AI solutions, drive development efforts, and collaborate with pipeline teams. The role covers deployment and maintenance of cloud-based software technologies and Sea-based systems to achieve advanced AI capabilities.

The ideal candidate will design secure AI architectures, optimize customer experiences, and lead teams in deploying AI tools within AWS cloud environments, leveraging a strong DoD 8570/compliance

Qualifications

• BS in CS/Engineering or related field with 10+ years of exp, or MS with 7+ years; or 7 years extra exp in lieu of degree.
• 7+ years leading, designing and implementing distributed solutions; 5+ years cloud-based solutions
• Experience in Cloud and PaaS environments
• Subject Matter Expertise across various AI technologies
• Familiar with Jira, Confluence, Jenkins, Python, Gitlab, CloudFormation, Zabbix, ACAS, PostgreSQL, Scrum, Kanban, Terraform
• Knowledge of SDLC and AGILE best practices
• Windows Domain Administrator of user accounts and group policy; Linux administration
• Proactive leader with strong communication; detail-oriented and adaptable to new AI tech
• Demonstrates ability to plan and prioritize; ensure tasks meet standards
• Excellent verbal and written communications; ability to present ideas to varied audiences
• Must possess and maintain TS clearance with SCI ability and CI Poly
• DoD 8570 Certification Compliance (IAT Level 2/3)
• Familiar with team collaboration tools (Jira, Confluence, RocketChat)

Responsibilities

• Collaborate with team on AI architectures, including operational status and dashboard tooling with security.
• Collaborate with client AI initiatives, providing insights into technologies and practices.
• Design, secure and automate AWS cloud initiatives while optimizing AI-driven experiences.
• Optimize customer experiences and analytics by enhancing software development flows, KPIs, and dashboards with AI.
• Provide broad systems engineering lifecycle experience for cloud initiatives related to design and development.
• Lead teams to deploy and configure services with AI tools.

Skills

Leadership

Cloud experience

AGILE/SDLC

Communication

Team collaboration

Education

BS in CS/Engineering

MS in related field

7+ years experience in lieu of degree

Tools

Jira

Confluence

Jenkins

Python

Gitlab

CloudFormation

Zabbix

ACAS

PostgreSQL

Scrum

Kanban

Terraform

Windows Administration

Linux Administration

Job description

Position: AI Software Engineer

Location: Alexandria VA | Chantilly VA | St Louis MO

Clearance: TS clearance with ability to obtain SCI with CI Poly

Required Certifications: DOD 8570 Certification (Security+ or equivalent or higher)

Level: T3

Job Description

Bailey Information Technology, LLC is recruiting for an experienced AI Engineer to lead AI solutions, work on development, collaborate with pipeline development and deployment teams. The FS2 Sea task order teams are involved in the deployment and maintenance of multiple operational cloud deployed software technologies and solutions. We are looking for a motivated AI engineer to solve challenging problems in a variety of Sea based systems to get results that surpass the outcomes achieved with new AI technologies, capabilities and features.

Responsibilities

• Strong collaboration with team’s in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security.
• Collaborates with the clients AI initiatives, providing insight into technologies, tooling and practices.
• Designs, secures and automates AWS cloud initiatives while optimizing agent and customer experiences to full AI potential.
• Optomize and enhance customer experiences, enhancing software development flows, quality metrics, KPIs, and Dashboards with AI.
• Provides broad-based experience in the systems engineering lifecycle and applies experience/knowledge to cloud initiatives relating to architectural design and development.
• Leads team’s to deploy and configure services with AI tools

Core Qualifications

• Requires BS degree (Computer Science, Engineering or related field) and 10+ year’s of prior relevant experience OR, MS with 7+ year’s of prior relevant experience; OR 7 years of additional experience in lieu of degree
• 7+ year’s experience leading, designing and implementing distributed solutions and 5+ year’s experience with cloud-based solutions (Cloud, SOA, Web-Services) including virtualization environment, network and operating system experience
• Experience in Cloud and PaaS environments
• Subject Matter Expertise understanding across various AI technologies,
• Familiar with the following: Jira, Confluence, Jenkins, Python, Gitlab, CloudFormation, Zabbix, ACAS, PostgreSQL, Scrum, Kanban, Terraform
• Knowledge of SDLC and AGILE best practices
• Windows Domain Administrator of user accounts and group policy objects and Linux administration
• Proactive leader demonstrating a positive, willing attitude and excellent oral and written communication skills.
• Demonstrates ability to adapt to new AI technologies and learn quickly
• Organizational Skills: Exceptional planning and prioritizing work, follow tasks to their logical conclusion and ensure everything has been correctly satisfied to standard. Great attention to detail.
• Communications: Excellent communication with team members, clients, customers or other stakeholders verbally and in writing. Able to present ideas in a variety of ways depending upon audience and context.
• Must possess and maintain a TS Security Clearance with the ability to obtain SCI with a CI Poly
• DoD 8570 Certification Compliance (IAT Level 2/3)
• Familiar with team collaboration tools (Jira, Confluence, RocketChat)

Preferred Qualifications

• Understanding of SFH organization; Sea data and mission
• Experience with NGA cloud-based architecture
• AWS Solutions Architect, AWS Developer, Machine Learning
• Experience with IC Cloud Architecture implementation methodologies
• Native cloud templating services like AWS Cloud Formation
• Experience with CI/CD Pipelines and projects