Senior AI Software Engineer

Responsibilities Lead advanced development efforts and collaborate closely with pipeline engineering and deployment teams Architect solutions, tackle sophisticated challenges across Sea-based systems and deliver capabilities that exceed current performance benchmarks through the integration of emerging AI technologies, advanced features, and next-generation methodologies Strong collaboration with team’s in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security Supports 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 Optimize 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 Ensures AI models, pipelines, and cloud-deployed services adhere to governance, compliance, and security standards, providing guidance on responsible AI implementation across mission systems Requirements Requires BS degree (Computer Science, Engineering or related field) and 12+ year’s of prior relevant experience OR, MS with 10+ year’s of prior relevant experience; OR 7 years of additional experience in lieu of degree 9+ year’s experience leading, designing and implementing distributed solutions 7+ 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 Leadership experience demonstrating a positive, willing attitude and excellent oral and written communication skills Ability to communicate effectively with executive-level leadership (internal and client) on high-impact organizational and program matters Demonstrates ability to adapt to new AI technologies and learn quickly. Core Competencies Demonstrates expertise in AI architecture design, cloud-based solutions, and systems engineering lifecycle, with a strong focus on optimizing customer experiences and ensuring compliance with security standards. Proven leadership in deploying advanced technologies and collaborating with cross-functional teams to achieve high-performance benchmarks. #J-18808-Ljbffr Jobtailor