Responsible for supporting and enhancing AI systems on Azure, maintaining configurations, managing access, and ensuring security compliance. Collaborates on CI/CD workflows and assists with AI innovation projects.
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.
Top Skills
AI
Azure Ai Services
Azure Machine Learning
Github Enterprise
Azure
Terraform
Similar Jobs
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
As a Senior AI Developer, you'll design and deliver enterprise AI solutions, integrate AI with internal systems, and collaborate with stakeholders to translate business problems into AI applications.
Top Skills:
Ai ApisAnthropicJavaLangchainLlamaindexPythonVertex Ai
Big Data • Information Technology • Productivity • Software • Analytics • Business Intelligence • Consulting
As a Senior Applied AI Engineer, you'll drive AI solutions in the energy sector, engage in customer lifecycle management, lead implementation, and prototype solutions leveraging cutting-edge technologies within the Celonis Process Intelligence platform.
Top Skills:
Aws BedrockAzure AiGcp VertexLangchainPandasPydanticPythonPyTorchSklearn
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
The AI Engineer at NBCUniversal will design, build, and deliver AI-powered solutions, collaborating with various teams while ensuring production readiness and responsible AI practices.
Top Skills:
APIsAWSAzureGoogle AdkGoogle Cloud PlatformJavaScriptLangchainLanggraphPythonTypescript
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute



.png)