Sr. Data and AI Engineer

US Diversity Job Search; Arlington (VA); Hybrid; USD 180,000 - 200,000; Full time

Job summary

Everforth ECS in Arlington, VA (Hybrid) is seeking a Sr. Data and AI Engineer to lead data and AI initiatives and drive enterprise-grade solutions. The role focuses on marrying data expertise with business needs to deliver achievable objectives and collaborative outcomes with cross-functional teams.

The candidate will guide discovery, architect scalable data systems, and deploy AI tools while mentoring engineers and aligning with customer requirements, all within an Agile environment.

Qualifications

• 10+ years IT experience in data architecture design and implementation
• 5+ years data experience with AI and Generative AI tools
• Experience with development and implementation of agentic AI solutions
• Experience with Agile development
• Ability to develop a roadmap linking architectural capabilities to data challenges
• Strong communication with multiple stakeholders and leadership

Responsibilities

• Lead cross-functional teams to deliver data and AI improvements
• Identify challenges and opportunities to improve processes and culture
• Mentor data engineers and promote best practices
• Collaborate with developers to deliver customer-facing AI solutions
• Support business development by aligning solutions with customer needs

Skills

Data architecture

AI/Generative AI

Data engineering

Agile methodologies

Cross-functional leadership

Communication with stakeholders

Mentoring data engineers

Education

Bachelor's degree

Tools

AWS Cloud

Big Data tools

Data Warehousing

Data Analytics

AI tooling

Job description

Everforth ECS is seeking a Sr. Data and AI Engineer to work in our Arlington, VA (Hybrid) office. (Typically 1-2x per week in Arlington, VA office for team planning and collaboration) The Sr. Data and AI Engineer will be a key member of our high performing Solutions team. They will provide critical support in product discovery using their data expertise to merge technical, business, and customer needs into achievable objectives and driving the completion of those objectives. As an expert in delivering technical projects, the Engineer will identify challenges and improvements to process, organizational practices, technical innovation, and culture; then lead cross functional team members to solution and deliver improvements. They will also apply their technical expertise across multiple disciplines to share the best approaches and solutions with our customers to improve complex strategic solutions and meet enterprise needs. Strong candidates will show experiences identifying strategic improvement opportunities, creating interest and buy-in, and executing on vision.

Salary: $180,000 - $200,000

General Description of Benefits

• Must be a US Citizen
• Must be able to obtain a Public Trust Clearance
• Bachelor's degree
• 10+ years of IT experience including experience in design, analysis, and implementation of large-scale, complex data architectures
• 5+ years of Data experience in evaluating, architecting, and building AI and Generative AI tools
• Experience with development and implementation of agentic AI solutions
• Rapid development and prototype experience
• Serve as a central facilitator in helping the organization to understand their current drivers and challenges
• Support Business Development efforts through maturing strategic solution ideas and aligning them with customer needs
• Ability to develop a roadmap that links the deployment of architectural capabilities within the organization to address inherent data challenges faced by the organization
• Ability to work hands on with developers to deliver solutions and provide customer facing support and solutioning
• Strong ability to communicate technical solutions with multiple stakeholders at different leadership levels to build relationships, provide guidance, and explain business value of technical solutions
• Experience mentoring data engineers, establishing best practices, providing code review, and helping team to understand business value of solutions
• Experience working in Agile environment leveraging advanced design and engineering best practices
• Building solutions that make use of data to improve business insights, help with operational decisions, and support performance management
• Knowledge of Data Management and Data Architecture concepts, Data Warehousing and Big Data tools, Data Analytics and applicable knowledge of Data Science concepts and tools
• Experience working and deploying AWS Cloud native data and AI technologies