Senior Data & AI Solutions 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 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.