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Full Time Ai Software Engineer Jobs in Washington

The 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 ...

Senior AI Software Engineer

Mclean, VA

$123K - $163K/yr

Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor ...

Senior AI Software Engineer

Mclean, VA · On-site

$123K - $163K/yr

Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor ...

We're looking for an experienced AI Software Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote position for candidates in the continental U.S., with work ...

Senior AI Software Engineer

Mclean, VA · On-site

$123K - $163K/yr

Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor ...

AI Software Engineer-Principal

Annapolis, MD · On-site

$133K - $179K/yr

We are seeking a Principal Artificial Intelligence (AI) Software Engineer to design and deliver advanced artificial intelligence and machine learning (AI/ML) solutions that enhance intelligence ...

Sr AI Software Engineer

Sterling, VA · Remote

$125K - $165K/yr

Senior AI Software Engineer * Location: Remote * Developing software solutions by studying information needs, conferring with users, studying systems flow, data usage, and work processes ...

Sr. AI Software Engineer

Washington, DC · On-site

$138K - $182K/yr

A Role Summary As a Sr. AI Software Engineer on the Global Marketing and Digital Enablement team, you will be responsible for designing, developing, modifying, and implementing innovative solutions ...

Showing results 21-40

Full Time Ai Software Engineer information

What is the difference between Full Time Ai Software Engineer vs Data Scientist?

AspectFull Time Ai Software EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; programming skills in Python, Java; knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis, statistics, and programming
Work EnvironmentDeveloping AI models, coding, testing, deploying AI solutions in tech companiesAnalyzing data, building models, creating insights for business decisions in various industries
Employer & Industry UsageTech firms, startups, AI-focused companiesFinance, healthcare, marketing, tech, and research organizations

Full Time Ai Software Engineers focus on designing and implementing AI algorithms and systems, while Data Scientists analyze data to extract insights and build predictive models. Both roles require programming skills and a strong understanding of machine learning, but their daily tasks and objectives differ. Understanding these distinctions helps job seekers identify the right career path based on their skills and interests.

What are the most commonly searched types of Ai Software Engineer jobs in Washington?

The most popular types of Ai Software Engineer jobs in Washington are:

What cities in Washington are hiring for Full Time Ai Software Engineer jobs?

Cities in Washington with the most Full Time Ai Software Engineer job openings:

AI Software Engineer

System One Holdings, LLC

Chantilly, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago


Job description

Job Title: AI Engineer
Location: Chantilly, VA
Type: Direct Hire / Perm
Work Model: Hybrid - onsite and remote
Security Clearance: Must possess and maintain a TS Security Clearance with the ability to obtain SCI with a CI Poly
We are recruiting for an experienced AI Engineer to lead AI solutions, work on development, collaborate with pipeline development and deployment teams. The 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.
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 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

Core Qualifications:
  • 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
  • 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.
  • 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)

Preferred Qualifications:
  • Understanding of SFH organization; Sea 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

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
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