Sr. Data and AI Engineer

ecsfederal; Virginia (MN); Hybrid; USD 180,000 - 200,000; Full time

Job summary

Everforth ECS is seeking a Sr. Data and AI Engineer to join our Solutions team in Arlington, VA on a hybrid schedule. You will lead data and AI initiatives, translating business needs into actionable objectives and collaborating with cross-functional teams.

The role requires 10+ years IT experience with large-scale data architectures, 5+ years in AI/Generative AI, mentoring engineers, and strong communication with leadership. Salary is $180,000-$200,000.

Qualifications

• Bachelor's degree required.
• 10+ years IT experience in design, analysis, and implementation of large-scale data architectures.
• 5+ years in evaluating, architecting, and building AI and Generative AI tools.
• Experience deploying AWS-based data and AI solutions.
• Ability to lead cross-functional teams and mentor engineers.
• Strong communication with stakeholders at multiple leadership levels.
• Agile development experience with rapid prototyping.

Responsibilities

• Lead data and AI initiatives to translate business needs into achievable objectives.
• Identify challenges and drive improvements in processes, practices, and culture.
• Collaborate with customers to share best approaches and solutions for complex strategies.
• Mentor data engineers and establish best practices.
• Work with developers to deliver solutions and provide customer-facing support.

Skills

AI & Generative AI

Agentic AI

Rapid prototyping

Facilitation

Roadmapping

Hands-on development

Stakeholder communication

Mentoring

Agile

Data-driven solutions

Education

Bachelor's degree

Tools

AWS Cloud

Data Warehousing

Big Data tools

Data Analytics tools

Data Science concepts

Job description

Everforth ECS is seeking aSr. 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 Engineerwillbe a key member of our high performingSolutions team. They will provide critical support in product discovery using their data expertise to merge technical, business, and customer needs into achievableobjectivesand driving the completion of thoseobjectives.As anexpert in delivering technical projects, the Engineerwillidentifychallengesand improvementstoprocess, organizational practices,technical innovation, and culture;thenleadcrossfunctional teammembersto solution and deliverimprovements.

They will also apply theirtechnicalexpertiseacross multiple disciplines toshare thebest approaches and solutionswithour customersto improvecomplex strategic solutions andmeetenterprise needs.

Strong candidates will show experiences identifyingstrategic 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 effortsthrough maturingstrategic solution ideas andaligning 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 ofdata to improve business insights,help withoperational decisions, andsupportperformance 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