AI Forward Deployed Engineer (Sr/Principal)

Nexaminds

3d•Remote

About The Position

Nexaminds is looking for a Senior/Principal AI Forward Deployed Engineer to work at the intersection of engineering, product, and customers. In this role, you'll work directly with customer teams to design, build, and deploy AI-powered solutions using modern LLM and agentic technologies. You'll turn ambiguous business and technical challenges into production-ready systems while helping shape product and engineering priorities based on real-world customer needs.

Requirements

8+ years of professional software engineering experience, with significant experience building and deploying production systems.
Hands-on experience working with LLMs and modern AI/agentic architectures, including prompting, evaluation, retrieval, tool use, and orchestration.
Proven experience working directly with customers or internal stakeholders to define ambiguous problems and deliver production-ready solutions.
Strong full-stack engineering capabilities, with experience across backend systems, APIs, integrations, and data pipelines.
Experience designing and building scalable, production-grade AI-powered applications.
Strong understanding of software architecture, cloud technologies, APIs, integrations, and distributed systems.
Excellent communication skills, with the ability to lead technical discussions and workshops with both engineering teams and business stakeholders.
Strong ownership and problem-solving skills, with a bias toward action and iterative delivery.
Comfortable working independently in ambiguous, fast-paced environments and managing multiple projects simultaneously.

Nice To Haves

Experience in Forward Deployed Engineering, Solutions Engineering, or Field Engineering within an enterprise software or AI company.
Experience deploying AI solutions in regulated or complex enterprise environments.
Familiarity with security reviews, data governance, and legacy system integrations.
Experience with AI evaluation frameworks, vector databases, RAG, or AI orchestration platforms.
Proven experience providing product feedback that directly influenced product or engineering roadmaps.

Responsibilities

Work directly with customers as a technical owner to understand their data, workflows, systems, and business requirements.
Design and build production-grade AI applications, integrations, pipelines, and workflows that connect Nexaminds' AI/LLM capabilities with customer systems.
Rapidly prototype AI solutions with customers, gather feedback, and transform successful prototypes into reliable production systems.
Integrate LLMs, AI agents, retrieval systems, tools, and orchestration workflows into customer environments.
Diagnose and resolve complex technical issues across AI models, infrastructure, integrations, and customer-specific systems.
Lead technical workshops and architecture discussions with customer engineering and technical leadership.
Establish reusable technical patterns, components, and best practices across multiple customer deployments.
Act as the technical voice of the customer internally, translating field learnings into actionable feedback for Product and Engineering.
Partner with Product, Sales Engineering, Customer Success, and Engineering teams to ensure successful customer deployments.
Mentor other forward-deployed and customer-facing engineers and help raise technical standards across the team.
Support customer go-live milestones and travel to customer sites when required.