24 hours ago
Chicago, IL, USAEntry Level / Mid Level
Base Salary
$130k - $180k/yr
Responsibilities
- Develop autonomous agents driven by data, events, large language models, and internally developed machine learning models.
- Build agentic AI solutions and enterprise-data applications using Databricks, Databricks Apps, Claude, and the MCP server.
- Design event-driven triggers and orchestration for agents and integrations.
- Define monitoring, alerting, SLA tracking, dependency documentation, and operational metrics for agents.
- Manage integration incidents, including triage, escalation, severity handling, runbooks, on-call activities, and vendor escalation.
- Apply data-governance standards for naming, logging, auditing, and change management.
- Maintain technical documentation covering model dependencies, activation triggers, workflows, and data sources.
- Collaborate with business analysts, business stakeholders, Data Governance, and the Process Center of Excellence to identify appropriate agent use cases.
Requirements
- Master’s degree or higher in computer science, engineering, or an equivalent field.
- 1–2 years of experience developing autonomous agents or agentic AI solutions using large language models and/or internally developed machine learning models.
- Proficiency in Python, Java, or C#, with Python preferred.
- Experience using SQL to query and manipulate data.
- Experience with Databricks, including building and deploying Databricks Apps.
- Familiarity with the Model Context Protocol and connecting AI tools to enterprise data.
- Experience designing event-driven or trigger-based workflow architecture.
- Experience building monitoring, alerting, and incident-response practices for automated systems, including SLAs, on-call, and runbooks.
- Experience applying naming, logging, auditing, and change-management standards.
- Strong analytical, problem-solving, communication, and independent execution skills.
- Preferred qualifications include production MCP connector experience, building AI-agent skills or tools, knowledge of data lake or lakehouse technologies, and familiarity with Salesforce, Marketo, and go-to-market use cases.
Benefits
- Hybrid work policy with in-office collaboration on Tuesdays and Thursdays and flexible work hours.
- Market-competitive base salary with an annual performance-based bonus.
- Health, vision, dental, and life insurance plus a 401(k) plan with company matching up to 4%.
- HealthJoy healthcare concierge service and access to the Healthy Minds wellness app.
- Enhanced paid parental leave: 20 weeks for primary leave and 10 weeks for secondary leave.
- Flexible time off, company wellness days, LinkedIn Learning, and Microsoft courses and training.
- Modern open-plan workspace with gaming area, free snacks and drinks, and regular social events.
- Inclusive and supportive culture with internal career development opportunities.
Categories
About iManage
iManage builds a cloud-enabled knowledge work platform for law firms, corporate legal departments, and professional services, combining document and email management with search, governance, and AI. It sells enterprise software via subscriptions and managed cloud, with products such as iManage Work, iManage Share, and the Ask iManage generative assistant to organize and understand business content. Founded in 2015 and headquartered in Chicago, it is privately held and serves customers globally in regulated industries.