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How much do credence management solutions jobs pay per year?

As of Sep 4, 2026, the average yearly pay for credence management solutions in the United States is $94,173.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $115,000.00 per year, depending on experience, location, and employer.

What is Credence Management Solutions?

Credence Management Solutions is a management consulting firm that offers a range of professional services, primarily to federal government agencies. Their services include program management, IT solutions, financial management, acquisition support, and human capital consulting. Credence works with clients to improve operational efficiency, manage complex projects, and achieve mission objectives. The company is known for its expertise in supporting defense, intelligence, and civilian government agencies.

What types of projects and clients do employees at Credence Management Solutions typically work with?

At Credence Management Solutions, employees frequently engage with federal government agencies and support a variety of projects in areas such as program management, IT solutions, and consulting services. This often involves collaborating with cross-functional teams, managing multiple deadlines, and adapting to evolving client needs. Daily responsibilities may include project planning, client communication, documentation, and ensuring compliance with government regulations. The diversity of clients and projects provides valuable exposure and opportunities for professional growth.

What are the key skills and qualifications needed to thrive as a management consultant at Credence Management Solutions?

To thrive as a Management Consultant, you need strong analytical abilities, problem-solving skills, and a relevant degree in business, management, or a related field. Familiarity with project management tools, data analytics platforms, and certifications like PMP or Lean Six Sigma are often beneficial. Excellent communication, adaptability, and client relationship management are standout soft skills for this role. These skills enable consultants to deliver impactful solutions, effectively manage projects, and build trust with clients in a dynamic consulting environment.
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What cities are hiring for Credence Management Solutions jobs?

Cities with the most Credence Management Solutions job openings:

What states have the most Credence Management Solutions jobs?

States with the most job openings for Credence Management Solutions jobs include:

Infographic showing various Credence Management Solutions job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $94,173 per year, or $45.3 per hour.

Senior AI Software Engineer-TS/SCI clearances (CI poly preferred with Security Clearance

Credence Management Solutions

Herndon, VA โ€ข On-site

$125K - $165K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible for designing, developing, and deploying advanced AI-driven solutions, including generative AI, LLM-powered applications, and agentic AI systems. You will collaborate with cross-functional engineering, data, cloud, and stakeholder teams to deliver scalable, secure, and mission-focused AI capabilities for federal clients, while helping guide technical direction, strengthen engineering practices, and mentor other engineers. Responsibilities include, but are not limited to the duties listed below * Generative AI & LLM Solution Delivery Lead the design, development, prototyping, and refinement of AI-powered capabilities using generative AI, large language models, retrieval patterns, prompt/context engineering, and secure API integrations.
* Agentic AI System Development Own end-to-end agentic AI development lifecycles, including model selection, agent design, tool/function calling, orchestration, response synthesis, evaluation, and deployment of reliable AI agents.
* Senior Software Engineering Leadership Apply strong software engineering principles to design maintainable, testable, and scalable systems; conduct code reviews, establish technical patterns, and leverage AI-assisted development tools responsibly to accelerate delivery.
* Cross-Functional Technical Collaboration Partner with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and mission needs into operational AI and automation solutions.
* Cloud Enablement & DevSecOps Integration Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery.
* Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability.
* Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines; support reproducible development.
* Technical Mentorship & Continuous Improvement Stay current on emerging AI/ML trends, agentic frameworks, model capabilities, and engineering practices while mentoring team members and contributing to reusable standards, documentation, and technical design reviews. Requirements What You Bring * TS/SCI clearances Required (CI poly preferred).
* Bachelor's or Master's in Computer Science, AI/ML, or a related field.
* 7+ years of hands-on software engineering experience, including significant experience delivering AI/ML, generative AI, or LLM-powered solutions in production or production-like environments.
* Experience building generative AI applications, working with LLMs, implementing tool/function calling, and applying model evaluation, prompt/context engineering, or retrieval-augmented generation approaches.
* Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph.
* Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI.
* Proficiency in TypeScript and familiarity with key libraries and frameworks such as Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite.
* Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured).
* Demonstrated curiosity and practical experimentation with emerging AI technologies, with a strong focus on responsible innovation and measurable mission impact.
* Familiarity with CI/CD pipelines (GitLab CI)
* Experience with VS Code and AI extensions such as Cline and Claude Code.
* Strong communication skills and client-oriented mindset.
Preferred * Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact.
* Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem.
* Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications.
* Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks.
Why This Role Matters * Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being.
* Growth-Oriented Technical Leadership - Work with technical leaders, shape agentic AI delivery practices, and mentor team members while continuing to deepen your own expertise in advanced AI engineering.
* Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $155,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits * Health Care Plan (Medical, Dental & Vision)
* Retirement Plan (401k, IRA)
* Life Insurance (Basic, Voluntary & AD&D)
* Paid Time Off (Vacation, Sick & Public Holidays)
* Family Leave (Maternity, Paternity)
* Short Term & Long Term Disability
* Training & Development
* Wellness Resources