Senior AI Software Engineer

aqua IT

St. Louis OR DC Area, Missouri

JOB DETAILS
SKILLS
Agile Programming Methodologies, Amazon Web Services (AWS), Architectural Services, Artificial Intelligence (AI), Atlassian JIRA, Best Practices, Cloud Architecture, Cloud Computing, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Customer Experience, Detail Oriented, Establish Priorities, Integrated Circuits (ICs), Leadership, Linux Administration, Machine Learning, Machine Tool, Microsoft Windows NT Group Policy, Microsoft Windows Operating System, Operating Systems, Performance Metrics, Platform as a Service (PaaS), Presentation/Verbal Skills, Problem Solving Skills, Quality Metrics, Reporting Dashboards, Service-Oriented Architecture (fka Distributed Object Architecture), Software Development, Software Development Lifecycle (SDLC), Software Engineering, System Lifecycle, Systems Engineering, Team Lead/Manager, Top Secret Clearance, User Account Administration, Virtualization, Writing Skills
LOCATION
St. Louis OR DC Area, Missouri
POSTED
8 days ago

Overview: Aqua IT is searching for an experienced AI Engineer to lead AI solutions, work on development, collaborate with pipeline development and deployment teams. These 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 systems to get results that surpass the outcomes achieved with new AI technologies, capabilities and features.

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 the organization's 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

Qualifications:

  • Active Top Secret clearance with the ability to obtain SCI and CI Poly. 
  • 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
  • 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 
  • 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
  • Exceptional planning and prioritizing work, follow tasks to their logical conclusion and ensure everything has been correctly satisfied to standard. Great attention to detail.
  • 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.
  • Familiar with team collaboration tools (Jira, Confluence, RocketChat)

Preferred (but not required):

  • Experience with IC 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

About the Company

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aqua IT