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Mid-level AI role, metro location, and generalist AI/integration skills create moderate applicant competition.
Core ML/AI and integration skills transfer across industries, but government domain and EAI experience increase specificity.
Explicit years requirements plus mandatory LLM frameworks, integration and security skills increase shortlisting rigidity.
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Design, build, test, and deploy AI agents, automations, and reusable assets that reduce implementation time and manual effort for state and local government software deployments.
Develop and maintain robust integrations between product suites and third-party systems to optimize end-to-end business workflows, ensuring high performance and enterprise-grade security.
Provide embedded AI expertise within customer implementation teams to configure AI-driven workflows, troubleshoot agent behavior, and build scalable internal tools to improve delivery efficiency.
3+ years experience in designing or implementing AI-driven automation or workflow optimization solutions.
1+ years hands-on experience building AI agents or orchestration workflows with modern frameworks and model APIs.
2+ years hands-on experience in enterprise application integration, preferably in Professional Services or consulting.
Proficiency in Python, JavaScript, or Java; experience with REST/SOAP APIs, event-driven integrations, security standards like OAuth 2.0, and LLM prompt engineering.
Experienced technical builder comfortable coding AI and integration workflows while collaborating cross-functionally with project and implementation teams.
Familiarity or interest in government/public sector business processes and ability to translate them into automated AI-enhanced solutions.
Proven ability to develop reusable AI modules and integration templates to scale Professional Services delivery across multiple customer engagements.