Forward Deployed Engineer

Forward Deployed Engineer(IC role)

Axiamatic is looking for Forward Deployed Engineering Managers who thrive at the intersection of enterprise transformation, software engineering, applied AI, and customer delivery.

As a Forward Deployed Engineering Manager, you will work directly with organizations executing complex ERP and IT transformation programs. You will lead engineering teams and work alongside transformation leaders, PMOs, architects, functional SMEs, system integrators, and Axiamatic product teams to understand complex customer problems and build solutions that create measurable impact.

You will be responsible not only for delivering customer-specific solutions, but also for identifying patterns across engagements and turning them into scalable product capabilities, AI agents, analytical workflows, and platform features.

This is a highly hands-on leadership role for an engineering manager who enjoys solving ambiguous problems, working directly with customers, and building systems from first principles.

Requirements

Customer & Transformation Engagement

• Partner directly with enterprise customers, transformation leaders, PMOs, architects, functional leads, and system integrators.
• Develop a deep understanding of how large ERP and IT transformation programs are structured, governed, and executed.
• Participate in customer discovery, solution design, technical workshops, pilots, and proof-of-concept engagements.
• Translate complex business and transformation problems into technical solutions.
• Work directly with customer teams to understand their data, systems, workflows, and operational constraints.
• Help customers deploy Axiamatic rapidly within their existing technology and operating environment.
• Act as a trusted technical partner to transformation leaders and enterprise stakeholders.

Engineering & Applied AI

• Lead engineers in building AI-powered solutions for complex enterprise transformation problems.
• Design and implement AI agents, analytical workflows, data pipelines, integrations, and enterprise applications.
• Develop technical approaches for analyzing requirements, workshop transcripts, user stories, project plans, risks, dependencies, testing artifacts, and other transformation data.
• Design structured analytical workflows that enable AI agents to identify risks, gaps, dependencies, readiness indicators, and execution patterns.
• Work with LLMs, agentic architectures, retrieval systems, knowledge bases, knowledge graphs, and enterprise data.
• Establish approaches for evaluating the accuracy, reliability, and consistency of AI-generated insights.
• Build prototypes rapidly and iterate based on real-world customer feedback.
• Ensure solutions are secure, scalable, observable, and production-ready.

From Customer Solution to Product

• Identify recurring patterns across customer engagements.
• Separate one-off customer requirements from capabilities that should become part of the Axiamatic platform.
• Partner closely with Product, Design, and Research to convert successful customer solutions into scalable product capabilities.
• Establish reusable architectures, frameworks, components, and technical patterns.
• Influence the technical and product roadmap based on insights from customer deployments.
• Help build the engineering foundations for Axiamatic's transformation intelligence platform.

Engineering Leadership

• Lead, mentor, and grow a team of high-performing engineers.
• Set technical direction and engineering standards across customer-facing initiatives.
• Balance speed of customer delivery with long-term engineering quality.
• Establish strong practices around code quality, testing, security, reliability, and observability.
• Participate in architecture reviews, technical design, and critical implementation decisions.
• Recruit and develop engineers who thrive in ambiguous, customer-facing environments.
• Create an engineering culture focused on ownership, rapid learning, and measurable customer outcomes.

Enterprise Integrations & Deployment

• Work with customer technology teams to integrate Axiamatic with enterprise systems and data sources.
• Design solutions involving APIs, SaaS platforms, enterprise applications, document repositories, collaboration tools, and data platforms.
• Understand enterprise security, authentication, authorization, data governance, and deployment requirements.
• Help customers navigate technical constraints associated with large enterprise environments.
• Develop repeatable deployment patterns that reduce implementation time across customers.

Requirements

• 7-9 years of software engineering experience, with3+ years in engineering leadership or engineering management.
• Experience building and deploying production software in complex enterprise environments.
• Experience working directly with enterprise customers or business stakeholders.
• Strong experience with backend systems, APIs, distributed systems, data platforms, or enterprise applications.
• Experience leading teams through ambiguous, technically complex problems.
• Strong ability to rapidly prototype and turn prototypes into production-quality systems.
• Experience withAI/ML, LLMs, agentic systems, RAG, knowledge bases, or AI-powered applications.
• Strong understanding of software architecture, system design, APIs, data models, and cloud infrastructure.
• Experience working with enterprise data and integrating multiple systems.
• Ability to understand complex business processes and translate them into technical architectures.
• Strong communication skills with both technical and non-technical stakeholders.
• Comfortable working directly with customers in discovery sessions, workshops, pilots, and POCs.
• Experience operating in a fast-paced startup or highly ambiguous environment.
• Strong product sense and an ability to distinguish between customer-specific solutions and scalable product capabilities.

Preferred Experience

• Experience withERP implementations, particularly SAP, Oracle, Microsoft Dynamics, or Epicor.
• Experience working on large-scale digital transformation or IT transformation programs.
• Experience with enterprise consulting, system integrators, or technology transformation organizations.
• Experience building AI agents or LLM-based enterprise applications.
• Experience with knowledge graphs, graph databases, or relationship-based data models.
• Experience with enterprise workflow automation.
• Experience working with program-management, requirements-management, testing, change-management, or transformation platforms.
• Experience taking a solution from customer POC → production → scalable product capability.
• Experience working in a Forward Deployed Engineering, Solutions Engineering, Field Engineering, or similar customer-facing engineering role.

Benefits

What Success Looks Like

In your first year, you will:

• Lead successful technical deployments with enterprise transformation customers.
• Build AI-powered solutions that surface meaningful risks, dependencies, and execution insights.
• Establish repeatable technical patterns for deploying Axiamatic across ERP and transformation programs.
• Reduce the time required to move from customer discovery to working prototype and production deployment.
• Help convert customer-specific solutions into scalable Axiamatic platform capabilities.
• Build and develop a strong Forward Deployed Engineering team.
• Become a trusted technical partner to enterprise transformation leaders.
• Contribute directly to Axiamatic's product roadmap and AI architecture.

Why Axiamatic

This role is an opportunity to build the future of enterprise transformation intelligence rather than simply implement existing software.

You will work on problems where traditional enterprise software, consulting, and program-management approaches struggle: understanding thousands of interconnected artifacts, identifying latent execution risks, and giving transformation leaders real-time intelligence about what is actually happening across their programs.

If you enjoy building from first principles, working directly with customers, leading engineers, experimenting with AI, and turning hard enterprise problems into scalable software, this role is for you.