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Washington, District of Columbia, United States
Onsite
When you join AIS, you’re joining a mission-driven team that’s passionate about making a difference. You’ll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.
Employee Ownership: Your contributions directly impact the company’s success, and you share in its achievements.
Continuous Learning: Access to resources, training, and mentorship to support your professional growth.
Inclusive Culture: A workplace where diversity is celebrated, and everyone’s voice is valued.
Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.
At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.
Core Knowledge & Skills: Operates as a multi-domain subject matter expert (e.g., Security, Data) with industry depth, defines enterprise patterns, and guides adoption across solutions.
Work & Complexity: Plans and directs the most complex, cross-functional, mission-critical initiatives, and evaluates industry standards to drive innovation and intellectual property.
Quality & Independence: Acts independently with organization-wide influence, sets visionary bars for quality, reliability, and delivery practices.
Teamwork & Communication: Models company values, mentors across the organization, builds formal networks with decision makers, and serves as an external spokesperson.
Consulting & Engagement: Advises executives on strategy, steers long-range planning and new lines of business, and delivers thought-leading presentations at the highest technical level.
AIS is Seeking highly skilled Full-Stack Engineers to drive rapid development in an AI-assisted environment. Candidates must be adept at leveraging AI coding assistants (e.g., Claude, Amazon Q Developer) to accelerate delivery, while applying strict
Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.
