Artificial Intelligence/Machine Learning Analyst
Kalman & Company is seeking a highly motivated, performance-driven individual with strong AI/ML experience to work closely with our Federal and DoW clients. Successful candidates will have excellent communication, quantitative, research, and analytical skills and the ability to lead several of the largest and most significant studies in Kalman’s portfolio. As part of the Business Analytics team, you’ll help our Government clients make well-informed, data-driven decisions on some of the most impactful challenges facing the DoW. This position will require occasional onsite meeting attendance in Stafford, VA. The salary range is $150K/yr-$190K/yr.
A career with Kalman & Company is both rewarding and challenging. Our clients require skilled, hardworking, and innovative professionals who can meet the demands of a dynamic and fast-paced workplace. As a Kalman Analyst, you will collaborate with military leaders, engineers, developers, technicians, logisticians, and financial managers to collect, analyze, and communicate information that helps ensure the success of programs that are critical to the United States DoW and our allies.
Benefits:
- Engage with motivated and highly skilled teammates to solve the government’s most challenging analytics problems by decision analyses for military and civilian leaders
- Support the Business Analytics team via a flexible working structure that balances each employee’s lifestyle while providing opportunities for in-person client and team engagement
- Join a diverse, inclusive, and growing team that fosters a supportive and encouraging environment to explore a variety of unique projects and clients for career success and fulfillment.
- Take advantage of a competitive salary along with a generous benefits package and paid opportunities for learning and professional development as well as on-the-job training and growth
Duties/Responsibilities:
- Lead the development of analytical products that support the acquisition and sustainment of priority DoW capabilities
- Provide thought leadership clearly demonstrating an understanding of the customer mission and innovative ideas to address business challenges of the customer
- Architect, build, and deploy GenAI-powered agents to support cost estimating, CARD development, acquisition analysis, and operations research tasks within secure DoW environments.
- Develop multi-agent and tool-using AI systems using government-cleared technologies.
- Integrate AI agents with DoW data sources, legacy systems, APIs, analytical models, and document workflows.
- Engineer secure, auditable AI pipelines that meet DoW governance requirements, including traceability, access control, model monitoring, and human-in-the-loop review.
- Develop AI-assisted tools that automate or accelerate CARD preparation, cost model creation, parametric analysis, and OR study documentation.
- Test, evaluate, and validate AI outputs for accuracy, defensibility, and mission alignment; collaborate with SMEs for iterative improvement.
- Create scalable data pipelines optimized for LLM ingestion, semantic search, embeddings, and structured metadata.
- Provide AI/ML expertise and thought leadership to program managers, engineers, analysts, and DoW stakeholders.
- Produce clear briefings, documentation, and training materials explaining agent behavior, assumptions, risks, and recommendations.
- Work autonomously and as part of a team to meet organizational and project goals
Required Education/Qualifications
- US Citizenship
- Active Secret Security Clearance
- 5+ years of experience with data science/analytics and 2+ years of experience supporting AI efforts within DoW
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Physical Science, Engineering, or related field
- Excellent data gathering and analytical skills
- Excellent oral and written communication skills
- Have a strong understanding of DoW systems and processes
- Ability to lead detail-oriented tasks and multitask under minimal supervision.
- Experience with GenAI (Gemini, ChatGPT, etc.)
- Demonstrated hands-on experience building and deploying LLM-based applications
- Experience developing and optimizing RAG pipelines, vector stores, and/or metadata schemas
- Ability to integrate GenAI systems with government secure networks and legacy systems
Preferred Education/Qualifications
- Experience with current computing technologies and software applications such as specialized Business Intelligence software, SQL, Microsoft SQL Server, Oracle, Access, SharePoint, and other database applications