AWS Architect – AI & Automation (Hybrid)

Job Title: AWS Architect AI & Automation (Hybrid)

Location: Baltimore MD

Duration: 2 Years

Job 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.

Duties:

• 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. E. 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.

Education:

• This position requires a Bachelors degree from an accredited college or university in computer science engineering technology or a related technical discipline; a Masters 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.