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.
Similar Jobs
Healthtech • Other • Social Impact • Software • Telehealth
The role involves designing AI systems for mental healthcare, focusing on building scalable, production-grade systems that enhance patient engagement and clinical operations. Responsibilities include setting technical standards and ensuring safety and reliability while working with advanced AI technologies.
Top Skills:
AWSDspyFaissGCPGoHaystackJavaJavaScriptLangchainLlamaindexMilvusPineconePythonTypescriptWeaviate
Artificial Intelligence • Productivity • Software • Automation
As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.
Top Skills:
Cloud InfrastructureLlm OpsMl OpsPythonTypescript
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design and develop AI-powered solutions for ServiceNow implementations, focusing on prompt engineering and automation to optimize delivery speed and quality.
Top Skills:
AIAPIsJavaScriptLarge Language ModelsPythonTypescript
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
