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
Translate those inputs into a clear technical approach that accelerates deployment and value realization
Design, build, and deliver production-quality solutions required for complex deployments
Enable agentic AI deployments in real enterprise environments
Create solutions that are fast to deliver and safe to inherit
Reduce friction for high-complexity accounts
Turn customer-specific work into product and platform insight
Help define how forward-deployed engineering scales
Requirements
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 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
Tech Stack
Cloud
ERP
PySpark
Python
Benefits
Full-stack benefits for health, wealth and wellbeing
Software Engineer, Forward Deployed Engineer – Enterprise AI Solutions at Resilinc | JobVerse