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<div>Job Title: COURTS(AOC) - Data Migration Field Support Technician
Location: Boise, ID
General Position Summary:
The Data Migration Field Support Technician supports data migration efforts for the Idaho Supreme Court in the trial courts. The position is located based in Boise, Idaho and requires the resource to be fully onsite for the role.
How We Work:
The Administrative Office of the Courts is committed to supporting the mission of the Idaho Courts through the use of an agile approach that aligns strategy, work, and capacity. This approach empowers our employees to respond quickly and efficiently to meet the needs of our customers: citizens, courts, judges, employees, and other stakeholders. We believe in continual improvement of our services and products to better serve and support our customers and the evolving environment. Employees are future-focused, take initiative, and are personally responsible for work delivery and professional growth. Our leaders are committed to professional development and growth of employees by empowering and supporting motivated individuals; providing clarity and focus for projects; giving those individuals the environment and support they need; and fostering a culture of collaboration, transparency, learning, trust and shared accountability.
Major Duties and Responsibilities: (The examples provided do not cover all of the duties which the incumbent of this position may be required to perform.)
<ul><li>Understands court processes to ensure that problem solutions match user needs in an appropriate manner.</li>
<li>Work closely with IT leadership and district court leadership to prioritize daily tasks and projects while providing responsive and timely end-user customer support.
</li><li>Performs installation, configuration, and troubleshooting of standard user desktop/laptop computing hardware, printers and peripheral devices in accordance with IT procedures.</li>
<li>Coordinates and/or migrates customer data and information from decommissioned devices to new equipment.</li>
<li>Installs, configures, and maintains software on mobile devices.</li>
<li>Works with IT colleagues to assist in coordinating equipment shipments and receivables as well as processing surplus equipment in accordance with Court procedures.</li>
<li>Informs inventory system by keeping up-to-date and accurate records of serialized asset information.</li>
<li>Works closely with court staff and local administration with office moves, adds, and changes as required.</li>
<li>Corresponds with users and staff concerning issue status, resolution, and task completion.
</li><li>Escalates issues are to other members of the technical services team as appropriate.
</li><li>Collaborates with IT staff to test, troubleshoot and validate new hardware and applications.</li>
<li>Attends meetings as required.</li>
</ul>Minimum Qualifications:
The Idaho Courts reserve the right to consider an equivalent combination of education, training, and/or experience necessary to successfully perform the major responsibilities of the position.
Education and Experience:
<ul><li>Three years of IT support experience.</li>
<li>Bachelor's Degree preferred.</li>
</ul>Knowledge, Skills, and Abilities:
Experience onboarding new users to Microsoft 365, with emphasis on Sharepoint, OneDrive, and Outlook as well as answering general user questions;
Experience migrating end user emails and documents to Outlook and OneDrive;
Experience with troubleshooting and maintaining Windows Active Directory users, computers and policies, preferred;
Experience troubleshooting with Microsoft Windows 10;
Experience troubleshooting Microsoft Office 2016, including exporting/importing mail, calendar and contacts;
Experience with basic network (wired and wireless) configuration and troubleshooting including ping and trace route, preferred;
Knowledge of court processes and court information systems preferred;
Skill in providing excellent customer service;
Ability to travel throughout the state as needed;
Ability to communicate effectively verbally and in writing;
Ability to understand impacts of software, system, or application changes on customers;
Ability to prioritize and address customer questions and trouble tickets based on customer needs and impacts;
Ability to work independently.</div>

COURTS(AOC) - Data Migration Field Support Technician

<div>We are seeking a high-caliber AI Tech Lead / AI Engineer to design, build, and operationalize agentic AI solutions that accelerate analytics and reporting delivery. This role goes beyond basic agent creation and requires hands-on experience with agent orchestration, memory, and enterprise-grade data access patterns, delivering scalable components that fit into an existing framework while rapidly adapting to incoming business requests.
Responsibilities: -
<ul><li>Design, Architect, implement, and iterate on agentic AI solutions to shorten the cycle time for analytics, log analysis, and reporting requests.</li>
<li>Design agent orchestration patterns (multi-agent workflows), tool/function calling, and memory approaches appropriate for enterprise deployments.</li>
<li>Define secure and scalable data access patterns for agents (retrieval, context building, and grounding), integrating with existing data sources and governance expectations.</li>
<li>Partner closely with product, analytics, and engineering stakeholders to intake requirements quickly and deliver working prototypes and production-ready solutions.</li>
<li>Engineer reusable components and best practices that enable scalable delivery (not one-off scripts), aligned to an existing base framework.</li>
<li>Operationalize solutions for reliability and maintainability: testing strategies, monitoring/observability, prompt/version management, and deployment automation.</li>
<li>Evaluate build vs. buy options pragmatically when needed, while keeping focus on shipping solutions on the current platform stack.</li>
</ul>Tech Stack (Core): -
<ul><li>Cloud: AWS (primary deployment environment; open to alternatives)</li>
<li>Data/Analytics Platform: Databricks (including native &quot;chat with data&quot; capabilities and potential agent integrations)</li>
<li>Agent Frameworks: LangChain, LangGraph</li>
<li>Conversational analytics patterns: Ask-questions-on-data / conversational BI approaches (agent-driven analytics and dashboards</li>
</ul>Experience: -
10+ Years
Location: -
Rosemont, IL (3days/Week)
Educational Qualifications: -
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Skills: -
Mandatory skills
<ul><li>Demonstrated experience delivering agentic AI solutions beyond prototypes, including enterprise deployment considerations.</li>
<li>Strong hands-on engineering background with AWS-based deployments.</li>
<li>Experience working with modern data platforms (e.g., Databricks) and integrating LLM solutions with analytics/data ecosystems.</li>
<li>Ability to operate as a senior individual contributor who can define architecture and implement key pieces end-to-end.</li>
</ul>Excellent communication and collaboration skills with US-based stakeholders
Skills &amp; Expertise Needed
<ul><li>Agentic AI engineering: building and deploying LLM-powered agents for real business workflows.</li>
<li>Agent orchestration: designing multi-step and/or multi-agent flows; managing tool use, control flow, retries, and failure handling.</li>
<li>Agent memory: short-term and long-term memory patterns; conversation state; summarization and context window management.</li>
<li>Enterprise data access patterns for agents: retrieval/grounding strategies; context assembly from structured and unstructured sources; performance-conscious access.</li>
<li>Production deployment mindset: security, reliability, monitoring, and maintainability for enterprise-grade AI services.</li>
<li>Architecture &amp; best practices: ability to design scalable components that fit into an existing framework and can be extended by the team.</li>
<li>Rapid requirements intake: quickly translating ambiguous reporting/analytics asks into implementable solutions and iterating with stakeholders.</li>
<li>High autonomy: tech-lead level capability without direct people management; self-directed and able to set engineering direction for the workstream</li>
</ul>Good-to-Have Skills
<ul><li>Experience implementing retrieval-augmented generation (RAG) and hybrid retrieval across structured/unstructured sources.</li>
<li>Experience with LLMOps practices: prompt/version management, automated evaluation, and regression testing.</li>
<li>Experience building observability for AI systems (quality metrics, traces, latency/cost monitoring).</li>
<li>Familiarity with Databricks-specific agent or model serving patterns (where applicable).</li>
</ul>Experience building lightweight analytics experiences on top of agent outputs (e.g., auto-generated insights/dashboards).</div>

AI Tech Lead / AI Engineer

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COURTS(AOC) - Data Migration Field Support Technician

AI Tech Lead / AI Engineer