AI Software Engineer Lead in Caseyville

The Leidos 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., * 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 \n

• 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 \n

• Must possess and maintain a TS Security Clearance with the ability to obtain SCI with a CI Poly \n

• DoD 8570 Certification Compliance (IAT Level 2/3) \n

• Familiar with team collaboration tools (Jira, Confluence, RocketChat) \n

• Experience in Cloud and PaaS environments \n

• Subject Matter Expertise understanding across various AI technologies, \n

• Familiar with the following: Jira, Confluence, Jenkins, Python, Gitlab, CloudFormation, Zabbix, ACAS, PostgreSQL, Scrum, Kanban, Terraform \n

• Knowledge of SDLC and AGILE best practices \n

• Windows Domain Administrator of user accounts and group policy objects and Linux administration \n

• Proactive leader demonstrating a positive, willing attitude and excellent oral and written communication skills. \n

• Demonstrates ability to adapt to new AI technologies and learn quickly \n

• Plans and prioritizes work effectively, follows tasks through to completion, and maintains a high standard of accuracy with excellent attention to detail. \n

• Communicates effectively with team members, clients, and stakeholders in both writing and conversation, tailoring messaging to fit the audience and context. \n

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• Strong collaboration with team’s in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security. \n

• Collaborates with Leidos AI initiatives, providing insight into technologies, tooling and practices. \n

• Designs, secures and automates AWS cloud initiatives while optimizing agent and customer experiences to full AI potential. \n

• Optomize and enhance customer experiences, enhancing software development flows, quality metrics, KPIs, and Dashboards with AI. \n

• Provides broad-based experience in the systems engineering lifecycle and applies experience/knowledge to cloud initiatives relating to architectural design and development. \n

• Leads team’s to deploy and configure services with AI tools \n

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