About the Role
As a Lead Forward-Deployed Engineer specializing in Agentic AI, you will be instrumental in guiding complex enterprise deployments from initial ambiguity to full production. You will collaborate directly with strategic customers and internal teams to understand their business goals, technical constraints, data realities, delivery risks, and success metrics. Your primary objective will be to translate these diverse inputs into a clear technical approach that significantly accelerates deployment and value realization for our customers.
Responsibilities
- Lead complex enterprise deployments from ambiguity to production: Partner with strategic customers and internal teams to understand business goals, technical constraints, data realities, delivery risks, and success metrics. Translate these into a clear technical approach that accelerates deployment and value realization.
- Build what standard implementation cannot cover: Design, build, and deliver production-quality solutions for complex deployments, including data ingestion/transformation utilities, ERP/Snowflake/Databricks/API/external system integrations, workflow automations, agentic AI deployment extensions, customer-specific data validation/enrichment tools, lightweight services/applications for go-live readiness, and repeatable accelerators.
- Enable agentic AI deployments in real enterprise environments: Assist customers in deploying and operationalizing Resilinc’s agentic capabilities for use cases such as disruption intelligence, tariff risk, forced labor compliance, supplier risk, multi-tier mapping, and event-driven workflows. Bridge the gap between platform capabilities and customer data, process, governance, and operating models.
- Create solutions that are fast to deliver and safe to inherit: Establish strong engineering discipline for all deliverables, including clean code, testing, documentation, security considerations, logging/observability, deployment readiness, operational handoff, and supportability. Focus on creating solutions that are understandable, operable, and improvable by other teams.
- Reduce friction for high-complexity accounts: Work on demanding deployments where standard playbooks are insufficient. Unblock go-lives, stabilize early production usage, reduce escalation risk, and accelerate measurable customer outcomes.
- Turn customer-specific work into product and platform insight: Identify repeated patterns across enterprise deployments, distinguish true one-off customizations from broader market needs, and provide clear, actionable recommendations to Product and Engineering to convert customer needs into reusable platform capabilities.
- Help define how forward-deployed engineering scales: Contribute to the operating model, standards, tooling, reusable templates, engagement rules, and handoff practices for this new function, aiming to create leverage rather than relying on individual heroics.
What This Role Is and Is Not
This role owns:
- Complex deployment engineering
- Customer-specific technical solution design
- Production-ready accelerators
- Integration and workflow problem solving
- Agentic AI deployment enablement
- Technical unblockers for strategic accounts
- Reusable implementation patterns
- Product feedback from real enterprise deployments
This role does not own:
- Routine customer support
- Long-term maintenance of every custom solution
- Standard implementation project management
- Core product roadmap ownership
- General pre-sales demonstrations
- One-off hero work without documentation or handoff
What Success Looks Like
Success in this role will be measured by your ability to:
- Reduce time-to-value for complex enterprise deployments
- Unblock strategic customer go-lives
- Improve deployment quality and predictability
- Reduce long-term operational debt from custom work
- Create reusable accelerators, templates, and implementation patterns
- Improve handoff quality to Agent Success, Support, and Engineering
- Surface product gaps and repeated customer patterns with clear recommendations
- Help customers operationalize Resilinc’s agentic AI capabilities in production