AI Agent Engineer – Commercial AI Transformation

Please note: This is a fully on-site position for the first six months requiring attendance in the office five days per week.

Overview

Diligents Commercial AI Transformation function builds AI agents that automate real workflows across our commercial organization from sales and customer success to internal operations. Weve already proven the model with a handful of production agents (including tools that generate executive briefs estimate costs and calculate customer value). This role exists to grow that portfolio working alongside a teammate who also designs and builds agents.

Youll bring two things the team needs more of: a track record of automating real business processes at volume and genuine software engineering discipline (version control testing release practices) that the team can build on as it scales. At the same time you need the agility to move fast on a proof of concept without forcing full engineering process onto something thats still proving itself out. Knowing when to apply which is part of the job.

Youll also step into a real enterprise integration environment on day one pulling from source systems processing through a data warehouse feeding an enterprise search/AI index and operating inside access control and governance boundaries that are already in place. Comfort with that kind of environment matters as much as agent-building skill itself.

Key Responsibilities

Process Automation & Agent Building

• Map business processes independently when needed and design build and deploy AI agents and agent chains that automate them
• Refine agents through iteration: tightening prompts handling edge cases improving reliability based on real usage
• Move quickly through early-stage PoCs then apply appropriate engineering rigor once an agent is heading toward production

Pipeline & Integration Work

• Build and maintain data pipelines that pull from source systems (e.g. Microsoft Graph API Teams Snowflake) into a data warehouse applying appropriate filtering summarization and sensitivity handling before anything is indexed or surfaced
• Work within an iPaaS/integration platform (e.g. Workato) to build and maintain recipes and API endpoints that connect systems together including logging and monitoring for those integrations
• Understand how enterprise search/AI indexing tools (e.g. Glean) consume processed data including index scoping access restrictions by group and how retrieval respects underlying permissions

Security & Governance Awareness

• Apply access control patterns correctly: privileged access boundaries IP whitelisting OAuth-based endpoint protection and group-based restrictions on what data or tools a user can reach
• Understand how identity and access (e.g. Okta/SSO) and logging/SIEM tooling (e.g. Panther) fit around the systems youre building enough to build in a way that doesnt create gaps
• Work with sensitivity tagging and data minimization principles when pulling raw data (e.g. removing what isnt needed redacting or filtering employee-specific content) before it moves further into the pipeline

Engineering Excellence

• Introduce and drive adoption of solid software engineering practices across the teams agent-building work: version control code review discipline testing and release/deployment practices
• Set a practical bar for what production-grade means for an agent distinct from whats acceptable in a fast-moving PoC and help the team recognize which stage something is in
• Own agents from prototype through production-grade deployment including error handling monitoring and failure-mode recovery
• Extend and reuse existing shared infrastructure rather than duplicating capability; apply an extend dont rebuild discipline

Commercial Fluency & Collaboration

• Understand enough about how sales customer success and commercial operations actually work to design agents that reflect reality not a theoretical process
• Partner closely with the teammate who also designs and builds agents sharing the design and build workload flexibly
• Bring engineering best practices to the team without slowing down the teams pace on early-stage work

Success in This Role Looks Like

• A growing reliable portfolio of agents in production each automating a real meaningful volume of work
• The teams agent-building work has real version control testing and release discipline behind it not just working prototypes
• PoCs still move at PoC speed. Rigor shows up where it matters (production) not everywhere
• Commercial stakeholders trust that agents reflect how their work actually happens
• Pipelines and agents respect existing access control and governance boundaries without needing to be told twice

Required Qualifications

• Bachelors degree in Computer Science AI/ML or a related field
• 4 years building software including demonstrated experience automating business processes at meaningful scale (not one-off scripts)
• Strong software development lifecycle (SDLC) fundamentals: version control (Git) code review practices testing and release/deployment discipline
• Hands-on experience building integrations or data pipelines using an iPaaS/automation platform (e.g. Workato Boomi Mulesoft or similar)
• Experience working with a cloud data warehouse (e.g. Snowflake) for data ingestion transformation or processing
• Recent hands-on experience designing building and deploying LLM-based agents or agentic workflows into production
• Working understanding of enterprise identity and access concepts (SSO OAuth group-based permissions) and how they constrain what a pipeline or agent can access
• Demonstrated judgment about when to move fast and informal (PoC stage) versus when to apply full engineering rigor (production stage)
• Genuine interest in and some exposure to how a commercial org (sales CS or ops) functions

Preferred Qualifications

• Experience with enterprise search or knowledge platforms (e.g. Glean) and how they scope and surface indexed content
• Familiarity with Microsoft 365 ecosystem tooling relevant to data governance (e.g. Purview Defender Graph API)
• Experience working with SIEM or logging platforms (e.g. Panther Splunk) from an integration or engineering standpoint
• Experience in a presales customer success or commercial operations environment
• Familiarity with Salesforce or similar commercial data systems
• Experience mentoring or upskilling less traditionally-trained engineers on SDLC best practices
• Test-Driven Development experience

Pay Range

$120000 - $150000 CAD

About Us

Diligent is the AI leader in governance risk and compliance (GRC) SaaS solutions helping more than 1 million users and 700000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk build greater resilience and make better decisions faster.

At Diligent were building the future with people who think boldly and move fast. Whether youre designing systems that leverage large language models or part of a team reimaging workflows with AI youll help us unlock entirely new ways of working and thinking. Curiosity is in our DNA we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge but as an opportunity. The future belongs to those who keep learning and we are building it together. At Diligent youre not just building the future - youre an agent of positive change joining a global community on a mission to make an impact.

Learn more or follow us onLinkedInandFacebook

What Diligent Offers You

• Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
• We care about our people.Diligent offers a flexible work environment global days of service comprehensive health benefits meeting free days generous time off policy and wellness programsto name a few
• We have teams all over the world. We may be headquartered in New York City but we have office hubs in Washington D.C. Vancouver London Galway Budapest Munich Bengaluru Singapore and Sydney.
• Diversity is important to us. Growing maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team facilitate dialogue and foster understanding.

Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology insights and connections they need to drive greater impact and accountability to lead with purpose. Our employees are passionate smart and creative people who not only want to help build the software company of the future but who want to make the world a more sustainable equitable and better place.

Headquartered in New York Diligent has offices in Washington D.C. London Galway Budapest Vancouver Bengaluru Munich Singapore and Sydney. To foster strong collaboration and connection this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations you will be expected towork onsite at least 50% of the time.We believe that in-person engagement helps drive innovation teamwork and a strong sense of community.

We are a drug free workplace. Diligent is proud to be an equal opportunity employer. We do not discriminate based on race color religious creed sex national origin ancestry citizenship status pregnancy childbirth physical disability mental disability age military status protected veteran status marital status registered domestic partner or civil union status gender (including sex stereotyping and gender identity or expression) medical condition (including but not limited to cancer related or HIV/AIDS related) genetic information or sexual orientation in accordance with applicable federal state and local also consider qualified applicants regardless of criminal histories consistent with legal requirements. See alsoDiligents EEO Policy and Know Your are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability you may contact us at .

At Diligent we recognize the value of a diverse global workforce. Visa sponsorship may be available for select positions based on business needs and specific role requirements. Sponsorship decisions are evaluated on a case-by-case basis and eligibility should not be assumed for all opportunities.

Please find the link to our candidate privacy policy here: all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.

Required Experience:

Unclear Seniority

Employment Type : Full Time
Experience: years
Vacancy: 1
Monthly Salary Salary: 120000 - 150000