NexSolv is seeking an AI Architect for our client State of Maryland. Please share your updated resume if you are fit and interested in this position.
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.
- 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.
- 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 platform's 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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