This is a hands-on, applied technical role. The successful candidate will work primarily in Python within modern web frameworks (such as FastAPI), deploy and maintain services on Microsoft Azure (App Service, Storage, Key Vault, and related services), and use Git-based source control and pull-request workflows.
The role operates within an AI-assisted software development environment, in which modern coding assistants are used as a primary day-to-day tool for writing, reviewing, and debugging code. The analyst is expected to be effective in this style of AI-assisted software development — directing the tools, validating their output, and shipping reliable production code.
In addition to working on developing AI solutions for the Department of Banking, the candidate will work in close collaboration with the Connecticut AI Lab, a centralized team within DAS that supports the design, development, and deployment of AI-enabled tools across state agencies. The AI Lab provides architectural guidance, shared infrastructure, and engineering support for the applications this role helps maintain and extend.
EXAMPLES OF DUTIES
Maintains, enhances, and extends existing applications and supporting services.
Analyzes requirements and participates in project planning sessions with customers, analysts, and team members to provide design recommendations for routine to moderately complex systems.
Prepares source code; debugs and corrects errors; maintains the integrity of software.
Configures, deploys, and monitors applications and supporting services in cloud environments.
Designs and develops routine to moderately complex applications, including data flows, screens, forms, and reports.
Provides technical consultation on routine to moderately complex issues regarding the usage of the infrastructure and integration of applications systems into the infrastructure.
Documents system processes, workflows, and technical procedures.
Participates in the evaluation of new and related technologies.
Performs related duties as required.
KNOWLEDGE, SKILL AND ABILITY
Knowledge of principles and techniques of systems analysis, design, development, and programming.
Knowledge of modern programming languages, with emphasis on Python and related web application frameworks.
Knowledge of cloud computing principles and services, with emphasis on Microsoft Azure.
Knowledge of source control practices, including Git and pull-request-based collaboration.
Knowledge of modern AI-assisted software development workflows and tools.
Ability to compare and select AI models (for example, A/B testing two models on a task)
Interpersonal, oral, and written communication skills.
Knowledge of secure development practices and appropriate handling of confidential or regulated data, including security considerations specific to AI applications.
Ability to take a user request from intake through deployment to production with appropriate guidance.
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