Sr. Data and AI Engineer

ECS Corporate Services; Arlington (VA); Hybrid; USD 180.000 - 200.000; Vollzeit

Zusammenfassung

Everforth ECS in Arlington, VA, seeks a Sr. Data and AI Engineer to join our hybrid team. The role focuses on integrating data expertise with business and customer needs to drive measurable improvements.

You will lead cross-functional teams, guide architectural decisions, and prototype agentic AI solutions. Ideal candidates have 10+ years IT experience with data architectures and 5+ years in AI/GenAI, plus the ability to mentor engineers and collaborate across leadership levels.

Qualifikationen

• Bachelor's degree in a related field.
• 10+ years IT experience including design and implementation of large-scale data architectures.
• 5+ years of data experience in evaluating, architecting, and building AI and Generative AI tools.
• Experience with agentic AI solutions and rapid development.
• Ability to mentor data engineers and conduct code reviews.
• Experience in Agile environments and cross-functional collaboration.
• Strong communication with stakeholders and leadership.

Aufgaben

• Lead cross-functional teams to deliver data and AI solutions.
• Drive product discovery using data expertise to align business and customer needs.
• Identify opportunities for improvement and execute on a strategic vision.
• Develop roadmaps linking architectural capabilities to enterprise data challenges.
• Hands-on collaboration with developers to deliver solutions and support customers.

Kenntnisse

Data architecture

GenAI

AWS Cloud

Agile practices

Cross-functional leadership

Stakeholder communication

Mentoring

Data management

Big Data

Ausbildung

Bachelor's degree

Tools

AWS

Big Data tools

Jobbeschreibung

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