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Resilinc logo
Resilinc

Strengthening the supply chains that power our lives.

Forward Deployed Engineer – Enterprise AI Solutions Architect

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 201-500Since 2010H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

77 days ago

Salary

0

Seniority

Senior

Bachelor Degree6 yrs expEnglishCloudERPPySparkPython

Job Description

Forward Deployed Engineer – Enterprise AI Solutions Architect

Resilinc

• 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. • 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, and customer-specific data validation and enrichment tools. • Help customers deploy and operationalize Resilinc’s agentic capabilities across use cases such as disruption intelligence, tariff risk, forced labor compliance, supplier risk, multi-tier mapping, and event-driven workflows. • Establish strong engineering discipline for everything shipped, including clean code, testing, documentation, security considerations, logging and observability, deployment readiness, operational handoff, and supportability. • Work on the most demanding deployments where standard playbooks are not enough. • Identify repeated patterns across enterprise deployments and feed clear, actionable recommendations back to Product and Engineering.

Job Requirements

  • 6+ 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 sources such as Snowflake, ERP systems, APIs, flat files, and customer data warehouses
  • 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, including deployment, testing, logging, monitoring, observability, and operational support
  • Experience translating ambiguous customer requirements into clear technical solutions, delivery plans, and production-ready outputs
  • Ability to work effectively with technical and non-technical stakeholders, including executives, supply chain leaders, IT teams, data teams, implementation teams, Product, Engineering, Agent Success, and Support
  • 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, including the ability to identify repeatable patterns and separate one-off customization from broader platform opportunities.

Benefits

  • Full-stack benefits for health, wealth and wellbeing

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