AI Software Engineer Lead

Leidos•St. Louis, MO

3d•$107,900 - $195,050•Onsite

About The Position

The Leidos National Solutions team has an opening 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.

Requirements

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
5+ year’s experience with cloud-based solutions (Cloud, SOA, Web-Services) including virtualization environment, network and operating system experience
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)
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
Plans and prioritizes work effectively, follows tasks through to completion, and maintains a high standard of accuracy with excellent attention to detail.
Communicates effectively with team members, clients, and stakeholders in both writing and conversation, tailoring messaging to fit the audience and context.

Nice To Haves

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

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 Leidos 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