Forward Deployed Engineer

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Collaborate across Sales, Product, R&D, and Implementation teams.

• Partner with Solutions Consultants and Account Executives on strategic accounts and new business opportunities.

• Take ownership of discovery, technical scoping, architecture, implementation, evaluation, productionization, adoption, and handoff for strategic customer solutions.

• Quickly implement the current product using customer data to demonstrate value within deals.

• Rapidly create near-production-ready prototypes when product capabilities fall short.

• Construct the smallest viable prototype to validate hypotheses within deal timelines.

• Design production solutions that ensure security, reliability, observability, maintainability, and integration with customer architecture.

• Build, deploy, and assess solutions utilizing customer data.

• Monitor adoption, workflow impact, reliability, and time-to-value; iterate with stakeholders.

• Collaborate with Product and R&D to transform validated customer patterns and production evidence into roadmap investments, reusable components, and platform enhancements.

• Create reusable accelerators based on recurring customer requirements.

• Continuously update solution specifications in collaboration with customers.

• Work alongside Product to assess business potential, market demands, competitive differentiation, and functional/technical specifications.

• Evaluate success based on influenced ACV, prototype speed, prototype transition to production, reusable accelerators, and recurring gaps reported to Product.

⛳️ Requirements

• Strong customer-facing and commercial skills.

• Ability to facilitate technical discovery sessions and engage in value conversations with both technical and business stakeholders.

• Capability to link technical solutions to customer outcomes and deal value.

• Skill in generalizing customer solutions into reusable accelerators.

• Experience in LLM application development, RAG, prompt and context engineering, and agent orchestration.

• Judicious use of single versus multi-agent patterns and management of memory and state.

• Regular use of modern AI coding tools like Claude Code.

• Knowledge of enterprise integrations in regulated utility markets.

• Familiarity with ESRI ArcGIS/Smallworld, IBM Maximo/EAM, SAP/Oracle ERP/PPM, and PowerBI/reporting systems.

• Technical and functional knowledge of REST and streaming APIs, authentication patterns, and integration with enterprise systems of record.

• Domain experience in asset-intensive industries or capital and asset investment planning is a significant advantage, but not a requirement.

• Willingness to travel to customer locations as needed, up to about 50% of the time.

• Preferred background in software or data engineering.

• Proven experience in building and delivering maintainable production software.

• Proficiency in Angular, Python, or similar programming languages.

• Comfort with unfamiliar languages and codebases.

• Understanding of SQL, data modeling, and data ingestion, transformation, and serving pipelines.

• Strong debugging abilities with imperfect customer data in real-time environments.

• Depth in production engineering focused on observability, performance, and scalability.

• Previous experience in customer-facing technical roles, solutions engineering, forward deployment, technical consulting, or startups.

• Prior experience deploying AI solutions in enterprise or regulated settings.

🏝️ Benefits

• Flexible paid time off, including sick leave and holidays.

• Comprehensive medical, dental, and vision insurance.

• Option for flexible spending accounts.

• Life insurance and disability benefits.

• Tuition assistance for ongoing education.

• Opportunities for community involvement and volunteering events.

• Bonus potential.