Charles River Analytics, a GRVTY company, creates solutions and technology to tackle the world’s most challenging problems. Our team of technological entrepreneurs works together to push at the forefront of enhanced AI, robotics, smart sensing, and human-centered computing. The resulting research and development help to continuously advance government programs and discover new possibilities in the commercial marketplace. At Charles River, we take great pride in our success at attracting and retaining the most talented and creative problem-solvers in our field. Now as part of GRVTY, we offer the same trusted capabilities with increased organizational depth and expanded capacity across mission-critical national security domains. Are you ready to accelerate our mission-focused innovations? We’d love to hear from you!
What You'll be Owning:
We have an exciting opportunity for an MLOps Software Engineer to join a customer on-site as an embedded technical analyst. In this role, you will be responsible for customizing AI agent training configurations and tailoring agent-based simulation backends to support military wargaming and analysis. Your responsibilities will include helping customers define analytical problems, coding agent behavior and decision-making logic, configuring the agent backend, evaluating agent outputs, and identifying any shortcomings in the domain-specific language or agent architecture for the product development team.
Our ideal candidate is much more than a typical data analyst or AI researcher. We are looking for a customer-facing applied AI and wargaming analyst who can effectively represent military decision problems, behaviors, constraints, objectives, and workflows within a proprietary agent-based simulation architecture. If you're interested in answering this challenge, we'd love to hear from you. Join our mission and innovate with purpose.
What You Must Have:
- Bachelor's degree in computer science or a related field; a graduate-level degree is preferred
- Experience in artificial intelligence, with a focus on AI agent reinforcement learning -and agent-based simulation
- Proficiency in understanding and configuring agent roles, goals, behaviors, interactions, state, decision logic, and emergent behavior within a simulation environment
- Capability to read, write, customize, test, and document a specialized language or configuration grammar used to express wargaming logic
- Experience with deployment engineering (e.g., build systems and containerization), Docker, Kubernetes, cloud-deployment (e.g., AWS gov cloud), and proficient with logging and monitoring systems to maintain high up time.
- Experience working with customers to define analytical questions, decision contexts, assumptions, measures, constraints, and experimental designs
- Skills in testing agent behaviors, inspecting traces, debugging unexpected outcomes, documenting uncertainties, and clearly communicating limitations
- Ability to configure agent runtime settings, data/context sources, tool access, execution parameters, integration points, and versioned baselines
- Proficient in explaining complex agent behaviors and domain-specific language (DSL) logic to non-developer military users, as well as communicating field issues to engineering teams
- Capacity to translate customer needs and observed shortfalls into product requirements, bug reports, feature requests, and acceptance criteria
- Active or eligible for a security clearance, as required by contract
What Would be Nice to Have:
- 5+ years of experience in artificial intelligence, with a focus on agent-based simulation
- Experience with agent-based modeling, AI-enabled simulations, decision-support tools, wargaming systems, and human-machine teaming
- Proficient in domain-specific languages (DSLs), scripting languages, behavior trees, rule engines, planning systems, multi-agent systems, and simulation configuration languages
- Skilled in Python, YAML/JSON, SQL, Git, CI/CD pipelines, testing frameworks, logging, tracing, and configuration management
- Familiar with large language model (LLM)-enabled agents, symbolic AI, planning algorithms, reinforcement learning, behavior modeling, and cognitive architectures, as they pertain to architecture
- Experience in military analysis, campaign analysis, mission analysis, operational planning, or experimentation
- Knowledge of AI risk management, model evaluation, traceability, human oversight, and responsible AI documentation
Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
We’re proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.
Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.
Why Choose GRVTY
The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We’re purpose-built to tackle the most entrenched, systemic national security issues around the world.
We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.
At GRVTY, we believe that when our employees thrive, our company thrives. That’s why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.
• Robust health plan including medical, dental, and vision
• Health Savings Account with company contribution
• Annual Paid Time Off and Paid Holidays
• Paid Parental Leave
• 401k with generous company match
• Training and Development Opportunities
• Award Programs
• Variety of Company Sponsored Events
EEO Statement
GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.
Anyone requiring reasonable accommodations should email [email protected] or call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days.
Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov)
Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.
Skills Required
- Bachelor's degree in computer science or a related field
- Experience in artificial intelligence with a focus on AI agent reinforcement learning and agent-based simulation
- Proficiency configuring agent roles, goals, behaviors, interactions, state, decision logic, and emergent behavior within a simulation environment
- Ability to read, write, customize, test, and document a specialized language or configuration grammar used to express wargaming logic
- Experience with deployment engineering, build systems, containerization, Docker, Kubernetes, and cloud-deployment (e.g., AWS GovCloud)
- Proficient with logging and monitoring systems to maintain high uptime
- Experience working with customers to define analytical questions, decision contexts, assumptions, measures, constraints, and experimental designs
- Skills in testing agent behaviors, inspecting traces, debugging unexpected outcomes, documenting uncertainties, and communicating limitations
- Ability to configure agent runtime settings, data/context sources, tool access, execution parameters, integration points, and versioned baselines
- Proficient in explaining complex agent behaviors and DSL logic to non-developer military users and communicating field issues to engineering teams
- Capacity to translate customer needs and observed shortfalls into product requirements, bug reports, feature requests, and acceptance criteria
- Active security clearance or eligibility for security clearance as required by contract
- 5+ years of experience in artificial intelligence, with a focus on agent-based simulation
- Experience with agent-based modeling, AI-enabled simulations, decision-support tools, wargaming systems, and human-machine teaming
- Proficiency in domain-specific languages, scripting languages, behavior trees, rule engines, planning systems, multi-agent systems, and simulation configuration languages
- Skilled in Python, YAML/JSON, SQL, Git, CI/CD pipelines, testing frameworks, logging, tracing, and configuration management
- Familiarity with LLM-enabled agents, symbolic AI, planning algorithms, reinforcement learning, behavior modeling, and cognitive architectures
- Experience in military analysis, campaign analysis, mission analysis, operational planning, or experimentation
- Knowledge of AI risk management, model evaluation, traceability, human oversight, and responsible AI documentation
What We Do
GRVTY is a national security and defense technology company that delivers mission and technical expertise in cyber, space, and spectrum. They provide automated ISR&T platforms, software, and data solutions to defense, intelligence, and homeland security customers, working on the frontlines against cyber adversaries.
