Job Title: Automation and AI Integration Expert (Onsite)
Location: Baltimore City MD
Duration: 12 Months
Job Description:
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 agile 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.
Responsibilities:
- Leading the design build and implementation of automation frameworks for self-service resource provisioning on cloud platforms.
- Developing and executing agile strategies to integrate complex automation solutions into existing operational workflows.
- Spearheading key AI initiatives including the development and successful deployment of LLM-based chatbots.
- 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.
- Managing and leading the modernization of the platforms database migration processes.
- Driving the strategy for centralizing platform-wide logging and monitoring utilizing OTEL (OpenTelemetry) to create a unified view of system health and performance.
- 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 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 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.
- Strong command of modern database migration processes and technologies.
- Expertise in observability platforms and hands-on experience implementing centralized logging and monitoring solutions preferably with OpenTelemetry (OTEL).
- Experience with Agile methodologies and proven ability to embed automated solutions within existing CI/CD workflows.
- Experience designing and managing ephemeral sandbox environments for development and testing.
- Excellent leadership communication and problem-solving skills.
Job Title: Automation and AI Integration Expert (Onsite) Location: Baltimore City MD Duration: 12 Months Job Description: The Automation and AI Integration Expert drives the modernization and efficiency of the platform. This role focuses on building and implementing advanced automation framewor...
Job Title: Automation and AI Integration Expert (Onsite)
Location: Baltimore City MD
Duration: 12 Months
Job Description:
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 agile 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.
Responsibilities:
- Leading the design build and implementation of automation frameworks for self-service resource provisioning on cloud platforms.
- Developing and executing agile strategies to integrate complex automation solutions into existing operational workflows.
- Spearheading key AI initiatives including the development and successful deployment of LLM-based chatbots.
- 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.
- Managing and leading the modernization of the platforms database migration processes.
- Driving the strategy for centralizing platform-wide logging and monitoring utilizing OTEL (OpenTelemetry) to create a unified view of system health and performance.
- 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 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 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.
- Strong command of modern database migration processes and technologies.
- Expertise in observability platforms and hands-on experience implementing centralized logging and monitoring solutions preferably with OpenTelemetry (OTEL).
- Experience with Agile methodologies and proven ability to embed automated solutions within existing CI/CD workflows.
- Experience designing and managing ephemeral sandbox environments for development and testing.
- Excellent leadership communication and problem-solving skills.
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