Senior Solutions Engineer – Enterprise AI & Data Infrastructure
Hire Hangar
This role lets you move into a senior technical position while still early in your career. You'll work directly with enterprise customers on real AI and data infrastructure problems, bridging the gap between what sales promises and what engineering delivers. That combination of customer exposure and deep technical work builds skills faster than most paths.
Day-to-day, you'll conduct technical discovery with customers, design solutions across on-prem and cloud environments, run proof-of-value deployments, and troubleshoot issues as they arise. You'll deliver demos and workshops, architect integrations, and own the transition from pilot to production. This is hands-on work that touches the full stack.
You're a fit if you have solid infrastructure or backend engineering experience, comfort explaining technical concepts to non-technical stakeholders, and the ability to move between strategic planning and tactical debugging. A background in cloud platforms, data systems, or DevOps helps. Portfolio or project examples matter more than credentials.
Apply on CareerJumpShip with your resume and a note on why infrastructure and customer-facing work appeal to you. This is a remote role based in Argentina but aligned to US time zones.
About this role
Join Hire Hangar and work with fast-growing global companies while building a long-term career. Job Title Senior Solutions Engineer – Enterprise AI & Data Infrastructure Location Remote (Hybrid with customers as needed) Time Zone US Time Zones (EST–PST) Role Overview We are hiring a Senior Solutions Engineer to lead enterprise customers through technical discovery, solution architecture, and proof-of-value execution across AI and unstructured data environments. This role bridges Sales, Product, and Engineering, ensuring customers achieve measurable outcomes from initial engagement through early production deployment. The ideal candidate combines strong infrastructure expertise with customer-facing confidence and hands-on technical execution. Key Responsibilities Conduct deep technical discovery and align AI/data initiatives with business objectives Architect scalable solutions across on-prem, cloud, and hybrid environments Deliver customized demos, workshops, and executive briefings Lead end-to-end POV deployments, including installation, configuration, and validation Troubleshoot performance, integration, and security issues during rollout Drive production adoption through documentation, enablement, and expansion planning Serve as the technical liaison between customers and internal Product/Engineering teams Required Qualifications 5+ years in a customer-facing technical role (Solutions Engineer, Sales Engineer, Solutions Architect, or similar) within SaaS, infrastructure, or AI environments Strong experience with AWS, Azure, or GCP, including hybrid architecture design Solid understanding of networking and security principles (firewalls, IAM, routing, access controls) Experience working with large-scale unstructured data systems and governance models Ability to communicate complex technical concepts to both engineers and executive stakeholders Working knowledge of AI/ML workflows, data preparation, and compliance considerations Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as Slack, Zoom, Google Workspace, Asana, or similar), and have ideally worked with US or UK-based companies. Applications without this experience will not be considered. Preferred Qualifications Experience supporting regulated industries (healthcare, fintech, insurance) Proficiency in scripting or automation (Python, PowerShell) Familiarity with Infrastructure as Code (Terraform or similar) Exposure to data classification or large-scale analytics platforms Tools & Technology AWS, Azure, GCP On-prem storage systems and hybrid infrastructure IAM and enterprise security frameworks Python, PowerShell, Terraform Slack, Zoom, Google Workspace, Asana Please NOTE It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps—the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles. We connect top talent with vetted employers, competitive pay, and real growth opportunities. Originally posted on Himalayas
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