Hire Hangar
Clients
SeniorSolutionsEngineer–EnterpriseAI&DataInfrastructure
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Solutions Engineer – Enterprise AI & Data Infrastructure at Hire Hangar. Skills: AI, Data Infrastructure, Solution Architecture, Customer Facing. Conduct technical discovery. Align AI/data initiatives”
What You'll Achieve.
Ensure customers achieve measurable outcomes; Drive production adoption
Industry & Context.
Troubleshoot performance, integration, and security issues
Must have prior remote work experience, Fluent with remote collaboration tools and platforms, Ideally worked with US or UK-based companies
What They're Looking For.
Must Have
5+ years in a customer-facing technical role (Solutions Engineer, Sales Engineer, Solutions Architect, or similar) within SaaS, infrastructure, or AI environments, 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.
Nice to Have
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
What You'll Do.
Conduct technical discovery
Align AI/data initiatives
Architect scalable solutions
Deliver customized demos
Drive production adoption
Serve as technical liaison
How You'll Work.
Team & Collaboration
Work with Sales, Product, and Engineering teams; Serve as the technical liaison between customers and internal Product/Engineering teams
Communication Scope
Communicate complex technical concepts
Process & Methodology
End-to-end POV deployments
Full Job Description
Join Hire Hangar and work with fast-growing global companies while building a long-term, remote 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 -
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