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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer - Enterprise AI Solutions - **Company:** HIRENOW STAFFING INC - **Location:** San Mateo, CA, United States - **Experience:** Experienced - **Salary:** $140,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Build Automation, Microsoft Azure, Information Engineering, Extract Transform Load (ETL), Data Systems, Software Debugging, Systems Integration, Business Intelligence Development Studio, Cloud Platform System, Large Language Models, Data Analytics, Machine Learning Operations, Data Pipelines - **Published:** May 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=caf5a05e2769eb9c ## About the Role Do you have experience in Technical solutions implementation?, * 4-15 years in forward-deployed engineering, pre-sales engineering, or technical consulting supporting enterprise SaaS, AI, analytics, or data-driven platforms. * Strong fluency across full-stack, data engineering, infrastructure, or cloud architectures able to speak confidently with CTOs and engineering teams. * Demonstrated success designing and delivering proofs of value that result in closed-won deals. * Hands-on experience with: + AWS, GCP, or Azure + APIs and integrations + Modern data workflows, ETL, pipelines + Dashboards, BI tooling, or analytics systems Commercial & Communication Skills * Strong competitive drive and the ability to influence technical and business stakeholders. * Exceptional communication skills able to simplify complexity without losing depth. * Comfort operating in dynamic, ambiguous, startup-like conditions with evolving processes. Bonus Skills * Understanding of enterprise security, compliance, and governance requirements. * Familiarity with AI/LLM-driven products, MLOps, or workflow automation., * Ideal for engineers who love problem-solving, storytelling, and driving adoption of cutting-edge AI. ## Description * Conduct in-depth technical discovery to map customer workflows, pain points, and success criteria. * Design and deliver demos, prototypes, and proof-of-value experiences that connect platform capabilities to measurable ROI. * Act as the technical thought partner for Account Executives by shaping deal strategy, objection handling, and solution positioning. * Clarify complex concepts for executive, technical, and operations audiences. 2. Own Hands-On Technical Execution * Implement and configure tailored solutions in customer environments using APIs, integrations, dashboards, and data pipelines. * Debug, optimize, and refine deployments based on real-time customer feedback. * Build automation, connectors, or lightweight scripts as needed to accelerate validation. * Ensure seamless knowledge transfer into post-sales teams to support ongoing success. 3. Drive Market Intelligence & Product Influence * Identify recurring patterns, blockers, and emerging enterprise use cases across customer engagements. * Communicate insights to product and engineering teams to refine roadmap direction. * Build reusable demo assets, configuration templates, and playbooks to reduce future sales cycle friction. * Represent the voice of the customer internally while maintaining a strong commercial orientation., * Opportunity to influence the company's platform direction through field insights. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)