IT Systems Implementation Engineer – Data Integration, Analytics & Agentic AI Solutions
Full Time | Hybrid – MX
Reports to: Director of Product Implementation and Enablement
About Benchmark Gensuite
Benchmark Gensuite® enables companies to implement robust, cross‐functional digital systems for EHS, Sustainability, and ESG Reporting through a unified digital platform—locally, globally, and across diverse operating profiles.
With intuitive, best‐practice‐based process functionality, flexible configurations, and powerful extensions, the Benchmark Gensuite® platform has helped companies worldwide manage EHS, Sustainability, Quality, Operational Risk and Compliance, Product Stewardship, and Supply Chain Risks for over two decades and is now organically integrated with leading ESG disclosure reporting and management solutions.
About the Role
Benchmark Gensuite is seeking a hands‐on IT Systems Implementation Engineer to serve as the technical delivery owner for subscriber‐facing integration and AI implementation projects.
This is a customer‐facing, high‐impact role for a professional who combines strong engineering instincts with communication skills to work confidently alongside enterprise IT teams.
You will lead end‐to‐end delivery of systems integration projects—from technical discovery through go‐live—working directly with subscriber IT organizations to define requirements, design solutions, and drive implementation.
A key emerging focus of this role is the deployment of Agentic AI solutions within subscriber environments, enabling intelligent workflow automation on top of our SaaS platform.
This role carries a clear growth path toward a Forward Deployed Engineer position for the right candidate.
Key Responsibilities
Subscriber Engagement & Technical Discovery
Serve as the primary technical implementation contact for subscriber IT teams across integration, analytics, and AI deployment engagements.
Lead technical discovery sessions to elicit, document, and validate integration and automation requirements.
Build trusted working relationships with subscriber stakeholders ranging from IT managers and system administrators to enterprise architects.
Translate complex, ambiguous customer requirements into clear and actionable engineering specifications.
Systems Integration & Implementation
Own end‐to‐end delivery of systems integration projects including HR data synchronization, SSO/SAML/SCIM implementations, application‐specific data migrations, and API‐driven record updates.
Design and document data mapping specifications, API integration flows, and system architecture diagrams.
Configure, test, and validate integrations in collaboration with subscriber IT teams and internal Engineering.
Troubleshoot integration failures, data discrepancies, and connectivity issues across implementation phases.
Manage project scope, timelines, risks, and stakeholder communications across concurrent subscriber engagements.
Agentic AI Solution Deployment
Partner with internal Engineering and Product teams to implement Agentic AI capabilities within subscriber instances.
Engage subscriber IT teams to assess workflow automation opportunities and define requirements for AI agent implementations.
Support configuration, testing, and rollout of AI‐driven automation solutions including intelligent data processing, decision support agents, and workflow orchestration.
Stay current on emerging Agentic AI platforms, frameworks, and SaaS integration patterns relevant to the enterprise EHS and compliance domain.
Serve as a knowledgeable resource to subscribers navigating their AI adoption journey, helping them understand capabilities, limitations, and best practices.
Documentation & Continuous Improvement
Maintain comprehensive project documentation including requirements specs, integration design documents, test plans, and go‐live runbooks.
Contribute to internal knowledge bases, reusable integration templates, and implementation playbooks.
Provide structured feedback to Product and Engineering teams based on subscriber implementation experiences.
Required Qualifications
3–5 years of experience in a systems implementation, solutions engineering, IT integration, or technical consulting role.
Proficient English communication skills (verbal and written – C1 level).
Solid working knowledge of systems integration concepts, RESTful APIs, webhooks, and data workflow design.
Hands‐on experience with one or more of the following: SSO/SAML/SCIM protocols, HRIS platform integrations (e.g., Workday, ADP, SAP SuccessFactors), ETL pipelines, or enterprise data migration projects.
Experience deploying or configuring AI‐driven automation within enterprise SaaS platforms.
Demonstrated ability to lead technical conversations and communicate complex concepts clearly to both technical and non‐technical audiences.
Proven ability to manage multiple concurrent customer‐facing implementation projects with competing timelines.
Strong documentation skills—comfortable producing requirements specs, data maps, API specs, and integration design artifacts.
Proficiency with project tracking and collaboration tools such as Jira, Confluence, Asana, or equivalent.
Preferred Qualifications
Exposure to Agentic AI platforms, LLM‐based workflow automation, or AI agent frameworks (e.g., LangChain, AutoGen, CrewAI, or vendor‐native AI agents in enterprise SaaS).
Familiarity with AI orchestration concepts such as tool use, retrieval‐augmented generation (RAG), prompt chaining, and multi‐agent coordination.
Familiarity with iPaaS platforms such as MuleSoft, Workato, Dell Boomi, or similar.
Working knowledge of API testing tools such as Postman or Swagger.
Basic scripting or query skills (SQL, Python, or similar) for data validation and troubleshooting.
Exposure to EHS, compliance, or workforce management software platforms.
PMP, CAPM, or equivalent project management certification.
Benefits
Annual bonus programs and off‐cycle performance reviews.
Team‐building events, including happy hours and virtual events.
Supportive networks such as the Respect for Diversity Group and the Sustainability Group.
Opportunities for career growth and technical advancement.
Career Growth
This role is designed to grow with you.
High‐performing candidates will have the opportunity to advance into a Forward Deployed Engineer role—taking on deeper technical ownership of integration architecture, Agentic AI implementations, custom development, and strategic subscriber partnerships.
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