Solutions Engineer (Implementation) jobs in United States
cer-icon
Apply on Employer Site
company-logo

Intenseye · 9 hours ago

Solutions Engineer (Implementation)

Intenseye is seeking an Implementation Solutions Engineer to lead the technical deployment of their AI-powered workplace safety platform across Fortune 500 manufacturing and industrial facilities. The role involves deploying edge devices, configuring camera integrations, and ensuring successful go-lives of safety monitoring solutions while collaborating with customer teams.

AnalyticsArtificial Intelligence (AI)Computer VisionGenerative AISoftware
Hiring Manager
Lakshya Garg
linkedin

Responsibilities

Support sales team during technical proof-of-concept phases when specialized deployment expertise is needed
Lead end-to-end technical implementation of Intenseye solutions (Edge, Cloud, Hybrid)
Configure and deploy IP camera integrations (RTSP/ONVIF) across various VMS platforms (Avigilon, Genetec, Milestone)
Deploy and configure industrial protocol integrations (OPC UA, EtherNet/IP, Modbus TCP/RTU) with PLCs, SCADA, and IoT
Set up secure, outbound-only connectivity to Intenseye cloud services
Design deployment architectures, including edge processing, server specs, and network topology, based on customer constraints
Conduct IT requirements reviews, camera compatibility assessments, and validate technical prerequisites pre-deployment
Configure safety rules and use cases (PPE, restricted zones, LOTO) based on customer EHS requirements
Partner with Implementation Managers and Customer Success Managers to ensure smooth technical handoffs throughout the customer lifecycle
Work with Product and Engineering teams to identify custom solution requirements, escalate bugs, and provide field feedback
Collaborate with Security/Compliance teams to address customer IT security questionnaires and technical due diligence
Monitor deployment stability, coordinate model fine-tuning, and create technical documentation/runbooks for customers
Collaborate cross-functionally with Implementation Managers, Product/Engineering, Security/Compliance, and Sales teams

Qualification

Technical implementationNetworking expertiseIP camera systemsCloud connectivityIndustrial systems knowledgeCustomer-centric mindsetProject managementEHS backgroundAI/ML familiarityTechnical communicationProblem-solvingSoft skills

Required

3+ years in technical implementation, solutions engineering, or systems integration deploying enterprise software/hardware
Strong expertise in networking (TCP/IP, DNS, VLANs, firewalls, VPN) and Windows/Linux server administration/virtualization
Hands-on experience with IP camera systems, RTSP, and Video Management Systems (VMS)
Experience with enterprise IT in manufacturing, logistics, or industrial environments (Fortune 500 a plus)
Ability to independently troubleshoot complex, multi-vendor technical environments
Proficiency with cloud connectivity (AWS/GCP/Azure), REST APIs, edge computing, and video codecs (H.264/H.265)
Excellent technical communication, project management, and customer-centric soft skills
Self-directed problem-solver with a willingness to travel up to 30-40% for on-site deployments
Familiarity with industrial systems (PLC, OPC UA, Modbus, SCADA) and DevOps tools (Docker, Python scripting) is a bonus
Excellent technical communication skills with ability to explain complex concepts to non-technical stakeholders
Strong project management skills with ability to manage multiple customer deployments simultaneously
Customer-centric mindset with focus on delivering successful outcomes under tight timelines
Self-directed problem solver who can work independently in remote customer environments
Willingness to travel up to 50-60% to customer sites for on-site deployments and troubleshooting

Preferred

Industry certifications: CCNA, CompTIA Network+, AWS Certified Solutions Architect, Azure Administrator
Experience with BalenaOS, fleet management platforms, or IoT device management
Background in EHS (Environmental Health & Safety) or workplace safety systems
Familiarity with AI/ML model deployment, computer vision, or edge AI applications
Experience with Apache Pulsar, NATS, or other message queue systems

Benefits

Hybrid Work - Remote + NYC office
Employee Stock Option Package
Comprehensive Family Medical Insurance, Dental & Vision
401(k) with employer matching
Life Insurance
Parental Leave
Annual Learning & Development Stipend
Flexible PTO

Company

Intenseye

twittertwittertwitter
company-logo
Intenseye uses AI for real-time video analysis, enhancing safety, detecting hazards, and improving efficiency across industries.

Funding

Current Stage
Growth Stage
Total Funding
$93.1M
Key Investors
Lightspeed Venture PartnersInsight Partners
2024-02-27Series B· $64M
2021-09-21Series A· $25M
2021-02-11Seed· $4M

Leadership Team

leader-logo
Sercan Esen
Co-Founder & CEO
linkedin
leader-logo
Serhat Cillidag
Co-Founder and CTO
linkedin
Company data provided by crunchbase