Forward Deployed Engineer - Asset Management (AI)

Location: Remote, United States; willingness to travel to customer sites up to approximately 50%

Salary: $145,000–$180,000 USD annually plus bonus

Company

hirify.global develops AI-powered enterprise software, including hirify.global Copperleaf decision analytics for asset-intensive organizations such as utilities, energy, water, and transportation.

What you will do

• Work with Solutions Consultants and Account Executives on strategic accounts and net-new opportunities.
• Own discovery, technical scoping, architecture, implementation, evaluation, productionization, adoption, and handoff of customer solutions.
• Build, deploy, and evaluate prototypes using customer data; measure adoption, workflow impact, reliability, and time-to-value.
• Engineer production solutions for security, reliability, observability, maintainability, and integration with customer architectures.
• Partner with Product and R&D to turn validated customer patterns into roadmap investments, reusable components, accelerators, and platform improvements.
• Develop and continuously update solution specifications while evaluating business value, market needs, and competitive differentiation.

Requirements

• Customer-facing and commercial ability, including technical discovery, value conversations with technical and business stakeholders, and connecting solutions to customer outcomes.
• Ability to generalize customer solutions into reusable accelerators.
• Experience with LLM application development, RAG, prompt and context engineering, agent orchestration, single- versus multi-agent patterns, memory, and state; daily use of modern AI coding tools such as Claude Code.
• Familiarity with enterprise integrations in regulated utility markets, including ESRI ArcGIS or Smallworld, IBM Maximo or EAM, SAP or Oracle ERP/PPM, Power BI or reporting systems, REST and streaming APIs, authentication patterns, and systems of record.
• Willingness to travel to customer sites as needed, up to approximately 50%.
• Ability to listen deeply, understand problems and outcomes, prototype quickly, communicate across technical and executive audiences, and work securely alongside a deal team.

Nice to have

• Domain experience in asset-intensive industries such as utilities, energy, or transportation, or in capital and asset investment planning.
• Software or data engineering experience shipping maintainable production software; fluency in Angular, Python, or a similar language.
• Knowledge of SQL, data modeling, and ingestion, transformation, and serving pipelines.
• Production engineering depth in observability, performance, and operating at scale.
• Experience in customer-facing technical work, solutions engineering, forward deployment, technical consulting, or startup environments.
• Prior experience deploying AI in enterprise or regulated environments.

Culture & Benefits

• Full-time employment in a global, diverse, collaborative, and sustainability-focused environment.
• Flexible paid time off, including sick and holiday leave.
• Medical, dental, and vision insurance; flexible spending accounts; life insurance and disability benefits.
• Tuition assistance and community involvement or volunteering opportunities.
• Flexible and hybrid workplace practices with inclusive workplace experiences.