Senior Developer helping with Automation and AI Integration

Innosoft Corporation•Baltimore, MD

17h

About The Position

We are seeking a hands-on-the-keyboard AWS Architect that can help our small infrastructure services and cloud teams architect solutions while providing innovation leveraging AWS Bedrock AI LLMs to automate day-to-day tasks to reduce the overall workload on the team freeing them up to work at a higher level. The Automation and AI Integration Expert drives the modernization and efficiency of the platform. This role focuses on building and implementing advanced automation frameworks to enable self-service resource provisioning on cloud platforms. This expert will also develop strategies to embed automation within existing workflows, ensuring a seamless and efficient transition for technical teams. On the AI front, this role spearheads key initiatives, including the development of platforms for deploying AI-based applications, the creation of LLM-based solutions, and the integration of AI tools to enhance processes.

Requirements

This position requires a Bachelor’s degree from an accredited college or university in computer science, engineering, technology, or a related technical discipline.
The candidate must have at least eight (8) years of progressive experience in software engineering, with a demonstrated track record of leading platform modernization, automation, or AI-focused projects.
Must have at least five (5) years of experience in a technical lead or senior architect role focusing on AWS cloud automation and/or AI integration.
Proven experience designing and building automation frameworks for self-service provisioning in a cloud environment.
Hands-on experience leading the development and deployment of AI-based applications, including LLM-based chatbots and AI agent solutions.
Demonstrable experience developing or architecting platforms for deploying and managing AI applications.

Nice To Haves

A Master’s degree in a related field is preferred.

Responsibilities

Leading the design, build, and implementation of automation frameworks for self-service resource provisioning on cloud platforms.
Developing and executing strategies to integrate complex automation solutions into existing operational workflows.
Spearheading key AI initiatives, including the development and successful deployment of LLM-based chatbots for password resets, monitoring, and responding to alerts.
Leading the development of a scalable, centralized platform for deploying new AI-based applications.
Guiding the creation and management of ephemeral sandbox environments to provide flexible, on-demand development spaces for agencies.
Actively identifying and evaluating opportunities to integrate AI tools and agent-based solutions to enhance and automate program processes.
Collaborating with stakeholders and technical teams to ensure automation and AI strategies align with business objectives and technical roadmaps.