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Contract Software Engineering Manager Jobs in Virginia

About the Opportunity We are seeking a Software Engineering Manager to lead and actively contribute to building and maintaining innovative, world-class SaaS solutions for higher education. This role ...

About the Opportunity We are seeking a Software Engineering Manager to lead and actively contribute to building and maintaining innovative, world-class SaaS solutions for higher education. This role ...

About the Opportunity We are seeking a Software Engineering Manager to lead and actively contribute to building and maintaining innovative, world-class SaaS solutions for higher education. This role ...

Strong background in Agile methodologies with practical experience managing multiple software projects. * Strong background in DevOps tools and practices to include containerization (Docker and ...

Director, Software Engineering

Arlington, VA · Hybrid

$291.10K/yr

Partner closely with Product Management to shape and execute product and technology roadmaps. Lead ... Proven experience as a Software Engineering Manager or Director in an agile, production-scale ...

Translate high-level initiatives and contract deliverables into granular, actionable Epics, Stories ... decks for Program Management and Executive review (e.g., PI Planning decks, AARs). * Create ...

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Contract Software Engineering Manager information

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

To thrive as a Contract Software Engineering Manager, you need strong leadership abilities, deep software development knowledge, and experience managing engineering teams, typically supported by a degree in computer science or related field. Familiarity with project management tools (like Jira or Trello), cloud platforms (such as AWS or Azure), and relevant certifications (e.g., PMP, Scrum Master) is often required. Outstanding communication, adaptability, and conflict-resolution skills help build trust and drive team performance in diverse, dynamic environments. These competencies ensure timely project delivery, high code quality, and effective collaboration with stakeholders.

What are some unique challenges faced by contract software engineering managers compared to full-time managers?

Contract software engineering managers often face the challenge of quickly integrating into new teams and company cultures while rapidly understanding ongoing projects. They must establish trust and effective communication in a short period, all while delivering results within limited contract timelines. Additionally, contract managers may need to balance stakeholder expectations and project deliverables without the long-term context or authority that permanent managers might have. Adaptability, strong onboarding skills, and proactive relationship-building are key to thriving in this role.

What is a Contract Software Engineering Manager?

A Contract Software Engineering Manager is a professional who leads and oversees software development teams on a contractual basis, rather than as a permanent employee. They are responsible for managing engineering projects, guiding developers, and ensuring timely delivery of high-quality software solutions. Typically, they work for a specific duration or on particular projects, providing leadership, technical expertise, and process improvements. This role is ideal for organizations seeking temporary management support or specialized leadership for critical projects. Contract Software Engineering Managers often bring diverse experience from various industries and projects.

What is the difference between Contract Software Engineering Manager vs Contract Software Developer?

AspectContract Software Engineering ManagerContract Software Developer
Required CredentialsBachelor's/Master's in CS or related field, management experienceBachelor's in CS or related field, coding skills
Work EnvironmentOversees teams, manages projects, collaborates with stakeholdersFocuses on coding, debugging, implementing features
Employer & Industry UsageTech companies, consulting firms, startupsSoftware firms, tech startups, enterprise IT
Common Search & ComparisonManagement responsibilities, leadership rolesTechnical skills, coding focus

The Contract Software Engineering Manager typically oversees development teams, manages projects, and ensures delivery, requiring management experience and leadership skills. In contrast, the Contract Software Developer primarily focuses on coding and implementing software features. Both roles are common in tech industries but differ significantly in responsibilities and required credentials.

What are the most commonly searched types of Software Engineering Manager jobs in Virginia? The most popular types of Software Engineering Manager jobs in Virginia are:
What are popular job titles related to Contract Software Engineering Manager jobs in Virginia? For Contract Software Engineering Manager jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Contract Software Engineering Manager jobs? Cities in Virginia with the most Contract Software Engineering Manager job openings:
AI Native Software Engineering Manager

AI Native Software Engineering Manager

Accenture

Arlington, VA • On-site

Full-time

Posted 17 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

47th of 425 rated business services


Job description

Job Summary:
Accenture is a forward-thinking services company at the forefront of AI-native innovation. They are seeking an AI Native Software Engineering Manager who will partner with enterprise clients to design, build, and deploy agentic workflows that enhance operational efficiency in complex environments.
Responsibilities:
• Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc. ) to enable seamless integration and enablement.
• Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems.
• Domain-Specific Workflows: Tailor and deploy agentic applications across verticals — e.g., finance, healthcare, retail — addressing domain-specific processes via intelligent automation.
• Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
• Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
• Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.
Qualifications:
Required:
• Minimum of 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum of 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• Minimum of 3 years experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
• Minimum of 5 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Minimum of 5 years experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• Minimum of 5 years experience with client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)
Preferred:
• You’ve served as an Agentic AI Engineer in an Enterprise environment.
• Additional AI certifications or agentic tool experience is a plus.
• You’ve defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures.
• You understand the AI-native paradigm — blending cloud-native with generative model architectures — optimizing for performance, modularity, and efficiency.
• You’ve delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs.
Company:
Accenture is a professional services company that provides solutions in strategy, consulting, digital, technology and operations. Founded in 1989, the company is headquartered in Dublin, IRL, with a team of 10001+ employees. The company is currently Late Stage.

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