Senior AI Software Engineer
Role details
Job location
Tech stack
Job description
The Leidos National Solutions team is seeking a to lead advanced development efforts and collaborate closely with pipeline engineering and deployment teams. The FS2 Sea task order supports multiple operational, cloud-deployed technologies, requiring a senior engineer capable of driving innovation across complex, mission-critical systems. We are looking for a highly motivated AI expert who can 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
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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
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9+ year's experience leading, designing and implementing distributed solutions and 7+ year's experience with cloud-based solutions (Cloud, SOA, Web-Services) including virtualization environment, network and operating system experience
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Must possess and maintain a TS Security Clearance with the ability to obtain SCI with a CI Poly
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DoD 8570 Certification Compliance (IAT Level 2/3)
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Familiar with team collaboration tools (Jira, Confluence, RocketChat)
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Experience in Cloud and PaaS environments
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Subject Matter Expertise understanding across various AI technologies,
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Familiar with the following: Jira, Confluence, Jenkins, Python, Gitlab, CloudFormation, Zabbix, ACAS, PostgreSQL, Scrum, Kanban, Terraform
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Knowledge of SDLC and AGILE best practices
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Windows Domain Administrator of user accounts and group policy objects and Linux administration
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Leadership experience demonstrating a positive, willing attitude and excellent oral and written communication skills.
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Ability to communicate effectively with executive-level leadership (internal and client) on high-impact organizational and program matters.
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Demonstrates ability to adapt to new AI technologies and learn quickly
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Understanding of SFH organization; Sea data and mission
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Experience with NGA cloud-based architecture
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AWS Solutions Architect, AWS Developer, Machine Learning
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Experience with IC Cloud Architecture implementation methodologies
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Native cloud templating services like AWS Cloud Formation
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Experience with CI/CD Pipelines and projects