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Engineer Manager Jobs in Virginia (NOW HIRING)

Pwc

NGA AI Engineer Manager

Richmond, VA · On-site

$73K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Deloitte

Cloud Security Engineer Manager

Richmond, VA

$141K/yr

Minimum 6 years of related Cyber Security experience with a focus on network security engineering, including firewall policy design, rule management, and hands-on experience securing east-west ...

Accenuate IT Solutions

SRE ENGINEER/ MANAGER

Reston, VA · On-site

$59.25 - $78.75/hr

Job Summary (Sr. Manager SRE): - Design, implement, and manage scalable, secure, and fault-tolerant cloud infrastructure using AWS, Azure, or GCP. - Automate infrastructure provisioning and ...

Pwc

GenAI Python Systems Engineer-Manager

Richmond, VA · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

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How much do engineer manager jobs pay per year?

As of Jul 16, 2026, the average yearly pay for engineer manager in Virginia is $145,608.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $171,500.00 per year, depending on experience, location, and employer.

What is an Engineering Manager?

An Engineering Manager is a professional who oversees engineering teams, guiding them to achieve project goals and company objectives. They are responsible for managing people, processes, and resources, ensuring that engineering projects are completed on time and within budget. Engineering Managers also collaborate with other departments, mentor team members, and help develop technical strategies. Their role bridges the gap between technical engineering tasks and organizational leadership.

How does an Engineer Manager typically support professional development within their team?

Engineer Managers play a key role in fostering the growth of their team members by providing regular feedback, identifying learning opportunities, and encouraging participation in training or mentorship programs. They often help engineers set clear career goals, guide them through skill development, and advocate for their advancement within the organization. By promoting a culture of continuous improvement and collaboration, Engineer Managers help team members stay motivated and aligned with both personal and company objectives.

What are the key skills and qualifications needed to thrive as an Engineering Manager, and why are they important?

To excel as an Engineering Manager, you need a strong technical background in engineering principles, project management experience, and often a relevant degree such as in engineering or computer science. Familiarity with project management tools (like Jira or Asana), version control systems (such as Git), and possibly certifications like PMP or Agile Scrum Master are typically required. Exceptional leadership, communication, and conflict-resolution skills help you motivate teams and manage stakeholders effectively. These competencies are crucial for delivering successful projects, fostering a productive team environment, and driving organizational goals.

What is the difference between Engineer Manager vs Software Engineer?

AspectEngineer ManagerSoftware Engineer
CredentialsBachelor's or higher in engineering or related field, often with leadership experienceBachelor's or higher in computer science, software engineering, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops software, writes code, tests applications
Employer & Industry UsageTech companies, engineering firms, startupsTech companies, software firms, IT departments

Engineer Managers oversee engineering teams, manage projects, and coordinate resources, while Software Engineers focus on designing, coding, and testing software. Both roles require technical skills, but Engineer Managers also handle leadership and strategic planning.

What are the most commonly searched types of Engineer jobs in Virginia? The most popular types of Engineer jobs in Virginia are:
What are popular job titles related to Engineer Manager jobs in Virginia? For Engineer Manager jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Engineer Manager jobs in Virginia look for? The top searched job categories for Engineer Manager jobs in Virginia are:
What cities in Virginia are hiring for Engineer Manager jobs? Cities in Virginia with the most Engineer Manager job openings:
Engineer Manager jobs near you
AI / ML Engineer Manager

AI / ML Engineer Manager

Accenture Federal Services

Arlington, VA • On-site

Full-time

Posted yesterday

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

50th of 451 rated business services

Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve lives through technology. As the Manager for the AI/ML Models as a Service team, you will lead a group focused on productionizing machine learning for the DoD, overseeing the development and deployment of AI/ML models to support various missions.
Responsibilities:
• Lead, mentor, and manage a high-performing team of ML modeling developers and MLOps engineers.
• Define and execute the technical strategy for the MaaS platform, including the frameworks for model training, versioning, deployment, and monitoring.
• Oversee the design, development, and deployment of a diverse portfolio of machine learning models to solve complex mission challenges.
• Establish and enforce robust MLOps practices to ensure automated, reliable, and scalable CI/CD pipelines for machine learning models.
• Architect the service layer for the MaaS platform, ensuring models are exposed via secure, scalable, and well-documented APIs.
• Collaborate with data scientists, data engineers, and mission stakeholders to identify use cases and translate requirements into production-ready models.
• Implement governance, security, and ethical AI standards across the entire model lifecycle.
• Manage project timelines, resource allocation, and stakeholder communication for all MaaS initiatives.
Qualifications:
Required:
• 8+ years of experience in data science or machine learning engineering, with at least 3 years in a technical leadership or management role.
• Deep expertise in developing and deploying ML models using common frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Proven experience building and maintaining production ML systems in a cloud environment (AWS, Azure, GCP).
• Strong understanding of MLOps principles and hands-on experience with relevant tools (e.g., MLflow, Kubeflow, AWS SageMaker, Azure ML).
• Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD tools.
• Experience with programming skills in Python and familiarity with software engineering best practices.
• US Citizenship (No Dual Citizenship)
• Active TS or TS/SCI Clearance
Preferred:
• Direct experience building a Model-as-a-Service or Machine-Learning-as-a-Service platform.
• Experience with ML platforms like Databricks or AWS SageMaker AI.
• Familiarity with Infrastructure-as-Code (IaC) tools like Terraform.
• Experience working in a high-security DoD or Intelligence Community environment.
• Demonstrated success leading teams that deliver complex, data-driven software projects.
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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