Analytica is seeking an AI Engineer to support an enterprise-wide modernization of AI capabilities for a high-profile financial regulatory client. This role centers on sustaining and enhancing AI systems deployed within Microsoft Azure-based data management and analytics platforms.
Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.
Key Responsibilities:
Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.
Key Responsibilities:
- Provide operational support for enterprise AI capabilities, including onboarding users, managing access controls, triaging issues, and monitoring performance.
- Maintain AI solution configurations in Azure, including role based access, usage tracking, and troubleshooting.
- Support AI Innovation team's solutions, including AI systems deployed across multi cloud environments (Azure, Appian, Salesforce, ServiceNow, etc.).
- Participate in CI/CD workflows using GitHub Enterprise; manage PBIs, bugs, and change requests.
- Support continuous validation, security compliance, and Authority to Operate (ATO) requirements for AI systems.
- Assist in implementing responsible AI monitoring, model evaluation, and improving AI user experience per agency governance guidance.
- Master's degree in Statistics, Mathematics, Computer Science, or related field.
- 3+ years of experience in data and AI engineering roles, including operational support.
- Experience with CI/CD and Agile work management tools such as GitHub Enterprise.
- Experience with Infrastructure as Code, especially Terraform
- Familiarity with Azure AI services, Azure Machine Learning, or cloud native AI operations.
- Must be a US citizen
- Must be able to obtain and maintain a Public trust security clearance.