Exiger is seeking a Lead AI Solution Engineer to provide expert guidance, direction, and organize the delivery of solutions and scale delivery of advanced analytics and AI-enabled capabilities supporting Army sustainment and supply chain risk management programs. This role drives the end-to-end execution of data-driven solutions—including AI/LLMs, data pipelines, and risk models—that enhance visibility, resilience, and readiness across the defense industrial base.
Requirements
- 10+ years of experience in front-end, back-end, or full-stack software development leading data analytics, AI/ML, or risk management programs for federal or defense customers.
- Intermediate to advanced proficiency in Python, including hands-on experience with data manipulation, validation, and analytics (e.g., pandas, NumPy, or similar libraries).
- Strong SQL skills, capable of writing and optimizing queries for large, complex datasets.
- Hands-on experience with Snowflake for querying, data validation, and analytics — active Snowflake user strongly preferred.
- Familiarity with data pipelines, ETL processes, and workflow orchestration in support of large-scale analytics environments.
- Experience working with AI/LLM development workflows, including prompt engineering, fine-tuning, and model evaluation.
- Proven experience validating analytics outputs and data transformations within cloud data environments.
Responsibilities
- Lead and manage a team of engineers developing for analytics and AI-driven solutions supporting Army sustainment, acquisition, and supply chain risk management missions.
- Direct the development and deployment of databases, data pipelines, risk models, mitigation strategies, and analytic workflows to identify and mitigate systemic supply chain vulnerabilities.
- Drive program execution by defining technical methodologies, prioritizing development milestones, and managing delivery of mission-ready analytical capabilities.
- Translate complex sustainment and acquisition requirements into actionable tasks for engineering and data science teams.
- Oversee QA/QC for data and model outputs, ensuring results are technically valid, reproducible, and operationally relevant to Army decision-makers.
- Provide technical oversight of analytics integration into sustainment workflows, ensuring compliance with Army policy and information assurance standards.
- Collaborate with cross-functional teams—including engineers, product research analysts, and industrial base experts—to deliver measurable mission impact.
Other
- Hybrid Position
- U.S. Citizenship required.
- Ability to obtain and retain a U.S. Government security clearance.
- Excellent communication skills with the ability to clearly convey technical concepts to non-technical audiences.
- Prior experience in software development and artificial intelligence.
