AI Engineer

Location: St. Louis, MO

Time Type: Full time

Job Description

The Leidos FS2 Aero team has an opening for an experienced AI Engineer to contribute to AI solutions, work on development, collaborate with pipeline development and deployment teams. The Aero 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 work on challenging problems in a variety of Aeronautical based systems to get results that surpass the outcomes achieved with new AI technologies, capabilities and features.    

Primary Responsibilities

• Strong collaboration with teams 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.

• Advises and assist teams to deploy and configure services with AI tools

Basic Qualifications

• Bachelors Degree and 4+ years’ experience.

• 3+ years of experience consulting, designing and implementing distributed solutions and 3+ years’ experience with cloud-based solutions (Cloud, SOA, Web-Services) including virtualization environment, network and operating system experience.

• Must possess and maintain a TS/SCI Security Clearance with ability to obtain a Polygraph

• 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, HPFortify, 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 self-starter demonstrates 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.

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

• Requires BS degree (Computer Science, Engineering or related field) and & 7+ years of prior relevant experience OR, MS with 5+ years of prior relevant experience; OR 4 years of additional experience in lieu of degree

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

Preferred Qualifications

• Understanding of SFA organization; Aeronautical 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

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.