AI Integration Engineer

• Development of autonomous agents based on data, events, or AI models (both large language models and internally developed machine learning models) that respond to triggers and signals to autonomously perform a given task.
• Developing agentic AI with a Databricks-first mindset, utilizing Claude where best suited to meet the desired outcomes.
• Developing applications for extending enterprise data to the organization using the tools appropriate to complete the task, such as Databricks Apps.
• Contributing to ongoing development and management of our MCP server that interfaces with enterprise data and Databricks.
• Working collaboratively with business analysts and business stakeholders to understand the desired outcomes, the underlying processes that support the desired business outcomes, and evaluating where an autonomous agent is an appropriate solution, with initial emphasis on go-to-market systems and workflows.
• Working collaboratively with the iManage Process Center of Excellence to ensure processes executed by autonomous agents and the processes for monitoring those agents are thoroughly captured and maintained.
• Defining and developing methods for monitoring agent operations (e.g., completion, data flow, and timing; alerting on failures/quality/API errors; tracking SLAs; documenting dependencies).
• Iterating on agents to make performance improvements measured by metrics, such as safety, accuracy of tool selection, task completion rate, etc.
• Designing and maintaining event architecture triggers that launch and orchestrate agents.
• Working collaboratively with Data Governance to define and apply standards for naming conventions.
• Working collaboratively with Data Governance to define and apply standards for logging and auditing agent operations.
• Applying change management standards for agents and integrations as defined by the Data Governance team.
• Preparing and maintaining technical documentation of agents and integration operations to record, at a minimum, model dependencies, activation triggers, workflows, and data sources.
• Managing incidents for its integrations: triage, escalation, severity, runbooks, on-call, and vendor escalation.

• A 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, including working with large language models (e.g., Claude) and/or internally developed machine learning models.
• Proficiency in programming languages such as Python (preferred), Java, or C#.
• Experience using SQL to query and manipulate data.
• Experience with the Databricks platform, including building and deploying Databricks Apps.
• Familiarity with the Model Context Protocol (MCP) and connecting AI tools to enterprise data.
• Experience designing event-driven or trigger-based architecture for initiating workflows.
• Experience building monitoring, alerting, and incident-response practices for automated systems (SLAs, on-call, runbooks).
• Excellent analytical and problem-solving skills with attention to detail.
• Experience applying naming, logging, auditing, and change management standards defined by other 
• teams, such as data governance.
• Ability to work independently to execute project requirements, with attention to priorities and dependencies.
• Excellent written, oral, and interpersonal communication skills, with the ability to communicate technical information to a non-technical audience.

• Experience contributing to or maintaining an MCP connector in a production environment.
• Experience building skills/tools for AI agents to deliver targeted business requests.
• Understanding of data lake or lakehouse technologies.
• A working knowledge of go-to-market concepts and systems such as Salesforce or Marketo.
• Experience supporting go-to-market use cases through data or AI connectors (e.g., iMData).

• Join a rapidly evolving, industry-leading SaaS company on an exciting journey of growth and scalability! 
• Take on meaningful, high-impact challenges by leveraging cutting-edge technologies and best-in-class protocols to drive innovation.
• Own my career path with our internal development framework. Ask us more about this! 
• Expand my skill set and earn certifications with unlimited access to LinkedIn Learning courses and interactive Microsoft courses & training.
• Be part of a supportive and experienced team within a dynamic, inclusive, and encouraging culture. 
• Enjoy flexible work hours that empower me to balance personal time with professional commitments. 
• Collaborate in a modern, open-plan workspace featuring a gaming area, free snacks and drinks, and regular social events.

• Creating an inclusive environment where I can help shape the culture not just by fitting in, but by adding to it.
• Providing a market competitive salary that is applied through a consistent process, equitable for all our employees, and regularly reviewed based on industry data.
• Rewarding me with an annual performance-based bonus.
• Offering comprehensive Health/Vision/Dental/Life Insurance, and a 401k Retirement Savings Plan with a company match up to 4%.
• Giving access to HealthJoy, a healthcare concierge service, to help me maximize my health benefits.
• Granting enhanced leave for expecting parents; 20 weeks 100% paid for primary leave, and 10 weeks 100% paid for secondary leave.
• Providing me with a flexible time off policy to take the time off that I need. Be it for vacation, volunteering, celebrating holidays, spending time with family, or simply taking time to recharge and reset.
• Caring for my mental health and well-being with multiple company wellness days and free access to the Healthy Minds app for mindfulness, meditation and more.

Learn more at: www.imanage.com  

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