Highbrow Technology Inc
Website:
highbrowtechnology.com
Job details:
Role Overview
Highbrow Technology Inc is looking for a Digital Solutions Pre-Sales / Solution Architect who can work closely with customers, Sales, Engineering, and Delivery teams to understand business and technical requirements and translate them into practical digital solutions.
The role will primarily support opportunities across AI/ML, Generative AI, Computer Vision, Edge AI, Data & Analytics, IoT, Cloud, Smart Infrastructure, and other digital transformation initiatives.
The ideal candidate should have strong customer-facing capabilities, good technical understanding, and experience conducting requirement discovery, solution architecture, POCs, demonstrations, and technical proposal development.
Key Responsibilities
· Participate in customer discovery meetings and understand business, operational, and technical requirements.
· Work with Sales teams during initial customer discussions and opportunity qualification.
· Visit customer locations when required to understand site conditions, existing infrastructure, workflows, devices, applications, and integration requirements.
· Identify suitable digital solution use cases based on customer business challenges.
· Translate customer requirements into solution architecture, functional requirements, and technical scope.
· Work with internal Engineering, Product, and Delivery teams to validate technical feasibility.
· Develop high-level and detailed solution architecture.
· Prepare technical presentations, solution proposals, architecture diagrams, BOMs, scope documents, and SOW inputs.
· Support customer demonstrations, technical workshops, and solution walkthroughs.
· Support POCs and pilot engagements from initial requirement definition through customer evaluation.
· Support responses to RFPs, RFIs, and RFQs from the technical and solution perspective.
· Identify integration requirements across applications, APIs, cloud platforms, databases, cameras, sensors, IoT devices, and enterprise systems.
· Evaluate technical risks, dependencies, and assumptions before commercial commitments are made.
· Coordinate with Sales and Engineering teams during solution estimation and proposal preparation.
· Act as the technical interface between Customer, Sales, Engineering, and Delivery teams.
· Ensure structured technical handover once an opportunity moves into implementation.
Technology Exposure
The candidate should have good exposure to several of the following areas:
· Artificial Intelligence / Machine Learning
· Generative AI / LLMs
· RAG solutions
· Agentic AI
· Computer Vision
· Video Analytics
· Edge AI
· Predictive Analytics
· Data & Analytics
· IoT
· Cloud platforms
· APIs and enterprise integrations
· Intelligent Automation
· NLP / Conversational AI
Preferred Domain Exposure
Experience in one or more of the following will be an advantage:
· Smart City / Smart Infrastructure
· Video Surveillance / VMS
· AI-enabled Video Analytics
· Edge AI platforms
· Transportation
· Retail
· Healthcare
· Manufacturing / Industry 4.0
· Public Sector
· Critical Infrastructure
· Enterprise Digital Transformation
Customer-Facing Skills
The candidate should be comfortable:
· Leading customer discovery discussions.
· Asking detailed functional and technical questions.
· Interacting with business, IT, Engineering, Operations, and leadership stakeholders.
· Conducting onsite requirement assessments.
· Understanding customer infrastructure and operational environments.
· Presenting solution concepts and architecture.
· Explaining complex technical concepts in business language.
· Managing expectations around solution feasibility, dependencies, and limitations.
· Coordinating across multiple internal and external stakeholders.
Experience Required
· 5-8 years of overall technology experience.
· Minimum 3+ years in Pre-Sales, Solution Consulting, Solution Architecture, or customer-facing technical roles.
· Experience supporting Digital Solutions, AI/ML, analytics, automation, IoT, cloud, or enterprise software opportunities.
· Experience preparing technical proposals, architecture diagrams, presentations, and solution documents.
· Experience supporting POCs, pilots, demonstrations, and enterprise customer engagements.
· Strong verbal and written communication skills.
Preferred Candidate Background
Candidates from companies working in areas such as:
· Enterprise AI
· AI/ML Solutions
· Generative AI
· Computer Vision
· Edge AI
· IoT
· Smart City solutions
· Video Analytics
· Digital Engineering
· Cloud and Data solutions
Preferred Technical Exposure
Exposure to some of the following would be beneficial:
Python | OpenCV | TensorFlow | PyTorch | LLMs | RAG | Vector Databases | APIs | Docker | Kubernetes | AWS | Azure | GCP | NVIDIA Jetson | Computer Vision | GenAI | MLOps
The candidate is not expected to be a full-time developer, but should have sufficient technical understanding to engage customers effectively and work with Engineering teams to develop the right solution.
Expected Opportunity Lifecycle
Customer Discussion -> Requirement Discovery -> Site Assessment -> Use Case Identification -> Solution Architecture -> Technical Validation -> POC / Demo -> Proposal -> Customer Presentation -> Delivery Handover
Ideal Candidate
· Technically strong and customer-oriented.
· Comfortable working directly with enterprise customers.
· Willing to travel to customer sites for requirement discovery.
· Strong in solution thinking and architecture.
· Able to convert loosely defined customer problems into structured technical requirements.
· Comfortable challenging requirements when technically necessary.
· Strong in documentation and presentations.
· Able to work effectively across Sales, Product, Engineering, and Delivery teams.
· Capable of supporting multiple solution opportunities simultaneously.
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