Agentic AI Solution Engineer
Customer-facing solutions engineer at CORAS who helps DoD and federal stakeholders design and deploy AI-driven decision workflows on the CORAS Enterprise Decision Management platform — configuring data models, building dashboards, and implementing agentic automations. Core stack includes Power Platform, Power BI, ServiceNow/Salesforce, plus SQL/Python scripting and LLM/prompt engineering.
- Compensation
- Not disclosed
- Location
- CORAS - McLean, VA 22102
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Solutions engineering
- Posted
Skills
Must have
- Customer-facing experience on technology or analytics implementations (consulting, pre-sales engineering, customer success, or product support)
- Skilled with modern enterprise platforms such as ServiceNow, Salesforce, Quickbase, Appian, Smartsheet, or Power Platform (esp. Power Apps/Automate)
- Skilled with BI tools like Qlik, Tableau, or Power BI for building use-case-driven workflows, dashboards, or customer-facing solutions
- Comfortable with iterative, agile delivery and dynamic customer environments
- Familiar with data integration, transformation, and quality assurance across spreadsheets, cloud systems, APIs, and structured/unstructured data
- Effective communication skills to convey complex insights to diverse stakeholders
- Ability to work independently and collaboratively in a dynamic environment
Nice to have
- Basic familiarity with data pipelines and scripting languages (SQL, Python, PowerShell, or JavaScript)
- Experience working in federal/DoD environments
- Experience with AI/ML-enriched platforms, enterprise digital transformation, or LLMs including prompt engineering
Full description
CORAS is a growth-stage company delivering cutting-edge, AI-powered decision intelligence to the Department of Defense and other federal organizations. Our primary clients include the U.S. Navy Program Offices, PEOs (Program Executive Offices), and Pentagon-level Portfolio and Requirements Offices. We thrive in a dynamic environment and are looking for proactive, customer-facing professionals who are energized by fast-paced problem solving, empowered to lead, and excited to make a tangible impact.
Role Overview: CORAS is seeking an Agentic AI Solutions Engineer to help customers design and deploy intelligent decision workflows using the CORAS Enterprise Decision Management platform. In this role, you will work directly with mission stakeholders across the Department of Defense to translate complex operational challenges into AI-enabled decision solutions. You will configure data models, build intelligent dashboards, and implement agentic workflows that automate analysis, generate insights, and support mission-critical decision making. This is a hybrid role combining solution engineering, analytics, and AI workflow design. Successful candidates are comfortable working with modern enterprise platforms (Power Platform, ServiceNow, Salesforce, etc.), integrating data sources, and configuring automated decision agents that help organizations move from static reporting to intelligent, AI-driven operations.
The ideal candidate is part solutions engineer, part systems thinker, and part customer advisor, someone who enjoys translating complex problems into practical, deployable solutions in dynamic mission environments.
Key Responsibilities:
- Engage directly with mission stakeholders to deeply understand analytical requirements, strategic priorities, and operational challenges.
- Leverage experience with tools like Power BI, Power Platform, ServiceNow, or Salesforce to create user-driven, scenario-based solutions.
- Assist in setting up what-if scenarios, AI agents, and automated workflows to support predictive and prescriptive decision-making.
- Present accurate, consistent, and reliable data analysis processes to optimize decision-making.
- Act as a trusted advisor to end-users, guiding them through system capabilities, troubleshooting, and ensuring adoption.
- Champion data best practices and thought leadership, keeping abreast of industry innovations in analytics, AI/ML integration, and visualization techniques.
- Troubleshoot data-related challenges with CORAS customers and prospective end users.
- Provide guidance and support to users, helping them maximize the benefits of CORAS.
- Collaborate with the CORAS development team to enhance product capabilities based on frontline user feedback and evolving customer needs.