Design, build, and deploy production-grade AI applications, agents, retrieval systems, integrations, and workflows for enterprise customers. Lead technical discovery, architecture workshops, prototyping, troubleshooting, deployments, and go-live support. Translate customer needs into scalable solutions and reusable engineering patterns, while providing product feedback that informs roadmaps. Partner with Product, Sales Engineering, Customer Success, and Engineering teams, and mentor customer-facing engineers. Travel to customer sites as needed.
Unlock Your Future with Nexaminds!
At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth.
Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong.
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.
Location: Mexico (Remote)
Qualifications we are looking for:
- 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.
- Willingness to travel to customer sites as needed.
- Proven experience partnering with business and technical stakeholders to understand business goals, processes, and challenges, translate them into technical requirements, and deliver practical, production-ready solutions.
Nice to have:
- 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.
Job duties:
- 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.
What you can expect from us
Here at Nexaminds, we're not your typical workplace. We're all about creating a friendly and trusting environment where you can thrive. Why does this matter? Well, trust and openness lead to better quality, innovation, commitment to getting the job done, efficiency, and cost-effectiveness.
- Stock options 📈
- Remote work options 🏠
- Flexible working hours 🕜
- Benefits above the law
- But it's not just about the work; it's about the people too. You'll be collaborating with some seriously awesome IT pros.
- You'll have access to mentorship and tons of opportunities to learn and level up.
Ready to embark on this journey with us? 🚀🎉 If you're feeling the excitement, go ahead and apply!
Similar Jobs
.jpg){kind=logo}
Artificial Intelligence • Cloud • Software • Big Data Analytics
Build and deploy full-stack AI/ML and agentic applications for strategic enterprise customers. Partner with technical and executive stakeholders to move use cases from prototypes to production, design scalable AI architectures, establish reusable solution patterns, and advise on AI roadmaps, governance, deployment, and operations. Mentor internal teams, support enablement, and provide product feedback. The role combines remote and customer-facing engagement with occasional travel up to 20%.
Top Skills:
Agentic WorkflowsAi/MlApache IcebergApache NifiSparkAWSAzureClouderaFoundation ModelsGCPInference OptimizationLlmopsMlopsModel ServingNvidia GpusRetrieval-Augmented Generation (Rag)Semantic Search
Fintech • Machine Learning • Payments • Software • Financial Services
Leads complex, multi-year technical integration programs, including application convergence, data migration, platform standardization, and cloud-scale transformation. Establishes program roadmaps, operating mechanisms, maturity models, and measurable outcomes across engineering teams. Drives architectural alignment, dependency sequencing, risk escalation, and tradeoffs among cost, speed, and resiliency. Serves as an executive-level influencer and helps mature the organization’s technical program management discipline.
Top Skills:
AgileAWSCloud ComputingDistributed ComputingDistributed SystemsService-Oriented Architecture (Soa)
Fintech • Machine Learning • Payments • Software • Financial Services
The Business Director at Capital One Shopping will lead strategic initiatives, manage teams, develop products, and enhance cross-functional execution while leveraging AI and analytics for growth.
Top Skills:
AIAnalyticsData Modeling
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
