Position Description:
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.
A. Leading the design, build, and
implementation of automation frameworks for self-service resource provisioning
on cloud platforms.
B. Developing and executing
strategies to integrate complex automation solutions into existing operational
workflows.
C. Spearheading key AI initiatives,
including the development and successful deployment of LLM-based chatbots for
password resets, monitoring, and responding to alerts.
D. Leading the development of a
scalable, centralized platform for deploying new AI-based applications. E.
Guiding the creation and management of ephemeral sandbox environments to
provide flexible, on-demand development spaces for agencies.
F. Actively
identifying and evaluating opportunities to integrate AI tools and agent-based
solutions to enhance and automate program processes.
I.
Collaborating with stakeholders and technical teams to ensure automation and AI
strategies align with business objectives and technical roadmaps.
Requirements
Education:
This
position requires a Bachelor’s degree from an accredited college or university
in computer science, engineering, technology, or a related technical
discipline; a Master’s degree in a related field is preferred.
General Experience:
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.
Specialized Experience:
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.