[Hiring] Software Engineer Forward Deployed Engineer (Enterprise AI Solutions) @Resilinc

Role Description

Resilinc is hiring a Forward Deployed Engineer to help deliver our most complex enterprise deployments. This role sits at the intersection of customer delivery, product discovery, data engineering, applied AI, and software engineering. You will work directly with strategic customers and cross-functional teams across Agent Success, Product, Engineering, Data, Support, and Sales to solve deployment challenges that go beyond standard implementation.

The mission is simple: compress time-to-value for Resilinc’s most complex customers while ensuring that custom work becomes reusable learning, not long-term operational debt.

Mission: Deliver production-ready technical solutions for Resilinc’s most complex enterprise customers by turning ambiguous business, data, workflow, and AI deployment requirements into scalable, well-documented, supportable software and implementation patterns.

What You Will Do

• Lead complex enterprise deployments from ambiguity to production.
• Partner directly with strategic customers and internal teams to understand business goals, technical constraints, data realities, delivery risks, and success metrics.
• Design, build, and deliver production-quality solutions required for complex deployments, including:
  • Data ingestion and transformation utilities
  • ERP, Snowflake, Databricks, API, and external system integrations
  • Workflow automations
  • Agentic AI deployment extensions
  • Customer-specific data validation and enrichment tools
  • Lightweight services or applications that support go-live readiness
  • Repeatable accelerators for future enterprise deployments
• Help customers deploy and operationalize Resilinc’s agentic capabilities across various use cases.
• Establish strong engineering discipline for everything you ship, including:
  • Clean code
  • Testing
  • Documentation
  • Security considerations
  • Logging and observability
  • Deployment readiness
  • Operational handoff
  • Supportability
• Work on the most demanding deployments where standard playbooks are not enough.
• Identify repeated patterns across enterprise deployments and provide actionable recommendations back to Product and Engineering.
• Contribute to the operating model, standards, tooling, reusable templates, engagement rules, and handoff practices for this new function.

What This Role Is and Is Not

This role is designed to solve hard technical deployment problems and create reusable patterns.

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

• 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.

What You Will Bring

• 2 to 5 years of experience in software engineering, implementation engineering, applied AI engineering, solutions engineering, data engineering, or a similarly technical role in enterprise software or AI-first SaaS.
• Strong hands-on coding experience, especially in Python.
• Experience building and shipping production-grade workflows, services, applications, integrations, or data utilities.
• Hands-on experience with Databricks, including PySpark, Delta tables, pipeline development, and data-sharing patterns.
• Experience building and managing data pipelines that ingest, validate, transform, and operationalize data from various sources.
• Experience designing or contributing to data warehouse architecture, scalable ingestion workflows, data models, and transformation logic.
• Strong understanding of cloud-native application design and production practices.
• Experience translating ambiguous customer requirements into clear technical solutions.
• Ability to work effectively with technical and non-technical stakeholders.
• Strong written communication skills, with disciplined documentation and handoff practices.
• High ownership, strong execution, and comfort operating in ambiguous, fast-moving enterprise environments.
• Strong product and systems thinking.

What Will Make You Stand Out

• Experience with AI-enabled workflows, LLM-powered applications, or orchestration frameworks.
• Experience deploying AI or analytics solutions into real enterprise operating environments.
• Experience turning repeated customer requirements into reusable accelerators, frameworks, or templates.
• Background in supply chain, risk management, manufacturing, procurement, logistics, compliance, or complex operational environments.
• Experience working with highly variable enterprise data landscapes.
• Experience balancing customer-specific delivery with long-term platform maintainability.
• Experience working in a forward-deployed engineering, field engineering, or technical customer-facing engineering role.

Why This Role Matters

Resilinc is scaling an agentic AI platform in one of the most complex areas of enterprise software: global supply chain risk. The hardest part is not only building powerful AI capabilities but also getting those capabilities deployed into real customer environments, with real data, real workflows, real constraints, and real business outcomes.

Benefits

• Fully remote work environment.
• Culture of ownership, purpose, technical growth, and a voice in shaping impactful technology.
• Full-stack benefits for health, wealth, and wellbeing.