Job description

We offer a flexible working policy that supports a healthy balance between personal and professional well-being. This role requires in-office presence on Tuesdays & Thursdays to collaborate, connect, and learn from peers - while also maintaining the flexibility for meaningful work-life balance. Being an AI Integration Engineer at iManage Means… You will own agentic and AI-driven integration development, along with the development and operations practices needed to run what you build. You will develop autonomous agents that respond to data, events, or AI models, including both large language models and internally developed machine learning models, to independently carry out tasks. You will approach this work with a Databricks-first mindset, using Claude where itis the best fit for the outcome. You will build applications that extend enterprise data to the organization using tools such as Databricks Apps, and you will contribute to the ongoing development of the Ask iMData MCP connector — our MCP server that interfaces with Databricks and our enterprise data sources — including its continued support of go-to-market data and AI use cases. You will partner with business analysts and business stakeholders to understand desired outcomes and determine where an autonomous agent is the right solution. This role reports to the Machine Learning Engineering Manager. iM Responsible For… • 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. iM Qualified Because I Have… • 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. Bonus Points If I Have... • 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). Don't meet every qualification listed above? Studies show that women and people of color are less likely to apply to jobs unless they meet all qualifications. At iManage, we are committed to building a diverse and inclusive environment, and encourage everyone to show up as their full authentic selves. We welcome those that come with a growth mindset and a hunger for learning; so, if you are excited about this role but your past experience doesn't align perfectly with every qualification we encourage you to apply anyways! iM Getting To… • 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. iManage Is Supporting Me By... • 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. The overall US annual base salary range for this position is $130,000–$180,000 per year. Individual compensation for each candidate depends on factors such as qualifications, experience, and candidate location. This range does not include additional forms of compensation, such as bonuses, commission, or benefits. Your recruiter will provide further details about the offer range, incentives, and overall compensation during the hiring process. iManage is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity via text and exclusively communicates from emails using the @imanage.com domain. If you have any concerns or questions about communications you have received, please send them to careers@imanage.com so our team members can review. About iManage… At iManage, we are dedicated to Making Knowledge Work™. Our intelligent, cloud-enabled, and secure platform is trusted by 4,100+ customers and 430,000 users worldwide, managing over 11 billion documents and 11 petabytes of data. We empower professionals across 65+ countries to unlock the full potential of their business content and communications. We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; Our work is not always easy but it is ambitious and rewarding. So we’re looking for people who embrace challenges. People who thrive on solving problems, pushing boundaries, and collaborating with the industry’s best and brightest. That’s the iManage way. It’s how we turn the impossible into reality, empower our employees to grow, unlock their potential, and create a meaningful impact on everything we do. Whoever you are, whatever you do, however you work. Make it mean something at iManage. iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Learn more at: www.imanage.com Please see our recruitment privacy statement for more information on how we handle your personal data. #LI-Hybrid #LI-LM1

Requirements

Must-haves

Being an AI Integration Engineer at iManage Means…
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 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.
iM Qualified Because I Have… • 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.
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.

Nice-to-haves

Proficiency in programming languages such as Python (preferred), Java, or C#.
Bonus Points If I Have... • Experience contributing to or maintaining an MCP connector in a production environment.
Rewarding me with an annual performance-based bonus.

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Keywords to mirror

aimachine learninggoapipythonjavasql

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Benefits

Benefits detected in the listing.

Dental

Vision

401k

Wellness