Forward Deployed Engineer

Propelling Tech • Short Hills, NJ

4d • Hybrid

About The Position

Propelling Tech is hiring a Forward Deployed Engineer, also described as an AI Business Engineer, to bridge enterprise executives and engineers by understanding client businesses and building AI, data, and agentic solutions that reach production and deliver measurable results. The role works directly with client stakeholders to understand processes, data, and pain points, then redesigns processes and builds end-to-end solutions, from data models and pipelines to generative AI applications and agentic workflows. The engineer owns problems from initial discussions through adoption and measured business impact.

The position combines business process analysis and stakeholder communication with hands-on AI and data engineering. Solutions may include generative AI applications, intelligent document processing, classification, matching, decision support, AI agents, and automated workflows with reasoning, tool use, and human-in-the-loop controls. The engineer will also work with relational and cloud databases, develop data models and pipelines, ensure data quality, and create reporting and dashboards.

Propelling Tech is an AI, data, and consulting firm serving enterprise clients across the US, Europe, and the Middle East. The company describes its teams as working in hybrid offices and emphasizes high-impact client work, autonomy, learning, growth, and business outcomes. The posting gives conflicting location information: it describes offices in L'Illa (Barcelona) and Madrid, while the Logistics section lists hybrid work with offices in Short Hills, NJ. It lists English under Logistics, although the qualifications require fluency in both English and Spanish.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• At least 2 years of hands-on experience delivering data and/or AI projects, ideally in a cloud environment such as AWS, Azure, or GCP.
• Strong SQL skills and hands-on database experience; stated as a must.
• Proficiency in Python.
• Solid understanding of business processes and the ability to analyze how a business operates and where technology fits.
• Practical experience building with LLMs and generative AI, and using AI tools to improve personal productivity.
• Ability to learn quickly, adapt to new tools, domains, client contexts, and shifting priorities.
• Strong communication skills and comfort leading conversations with business and technical stakeholders.
• Structured problem-solving skills and an ownership mindset.
• Fluency in English and Spanish.

Nice To Haves

• Master's degree in a related field.
• Experience building AI agents and agentic architectures, and using automation tools such as n8n.
• Consulting or client-facing experience.
• Domain exposure to insurance, pharma, life sciences, or healthcare supply chain.
• Familiarity with data governance, master data management (MDM), or data catalog platforms.
• Cloud or data engineering certifications.

Responsibilities

• Work directly with client stakeholders to understand business problems, goals, and day-to-day operations.
• Map and analyze end-to-end business processes, identify breakdowns, and determine where AI can create measurable impact.
• Translate business needs into solution designs and communicate them to executive and technical audiences.
• Measure outcomes and drive adoption so solutions deliver business value.
• Design and build AI solutions, including generative AI applications, intelligent document processing, classification, matching, and decision support.
• Build and deploy AI agents and automated workflows combining reasoning, tool use, and human-in-the-loop controls.
• Use Propelling Tech accelerators and reusable components to speed up delivery.
• Write complex, optimized SQL and work hands-on with relational and cloud databases.
• Design and implement data models, such as Medallion architecture, and the pipelines feeding AI and analytics solutions.
• Ensure data quality and structure support reliable AI outcomes.
• Build reporting and dashboards for business stakeholders.
• Own client problems from initial discovery through solution adoption and measured impact.

Benefits

• Autonomy to own engagements and decide how to solve problems, with support from accelerators and a team.
• A clear growth path from delivery to leadership.
• Work focused on measurable business outcomes.
• A learning-oriented culture that shares knowledge and moves quickly.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level