Forward Deployed Engineer

Company name : Standard Security & Investigation Services Pte. Ltd.

UEN : 199005177E

Job role : Forward Deployed Engineer

Company introduction:

SSIS is a security and events specialist with over 30 years of operating experience. We provide integrated services spanning security guarding, investigations, executive protection, traffic and crowd management, and major event consultancy. SSIS is a Graded Pass Security Agency by the Singapore Police Force and holds PLRD, PWM and BizSafe certifications, reflecting strong compliance and safety standards. With deployments across leading venues, government projects and large‑scale festivals, SSIS focuses on delivering value‑added, well‑planned operations while treating its officers fairly and building long‑term client partnerships.

Job Description:

As the Forward Deployed Engineer, you will work directly with SSIS departments to understand operational challenges, identify opportunities for technology improvement, and turn business requirements into practical AI and software solutions. You will take ownership of the solution lifecycle from business process analysis and solution design through development, integration, testing, deployment, and continuous improvement. Your work will focus on delivering reliable, secure, and user-focused technology solutions that improve operational efficiency across SSIS.

Key responsibility:

• Use Codex, GitHub to develop and iterate AI applications, internal tools, automations and dashboards based on operational requirements and solution designs, to support security workforce deployment, claims processing, performance tracking and SSIS operational workflows.
• Use WhatsApp API, Google Cloud, Google Workspace to integrate AI applications with existing business systems, tools and data sources to enable information to connect operational information and automate repetitive processes across security operations, workforce management and administrative workflows.
• Use WhatsApp API, Google Workspace, Vercel to analyse feedback from SSIS officers, supervisors and management teams to identify application issues, usability gaps and changing operational requirements, then implement technical fixes and workflow improvements based on actual use of deployed solutions.
• Engage SSIS departments and review day-to-day workflows to understand operational pain points, manual activities, recurring problems and technology gaps, and define practical opportunities for AI, automation and software solutions.
• Use GitHub to maintain version control, deployment configurations and change records for AI applications and integrated systems, to ensure that changes are traceable and controlled across development and production environments.
• Use Google Cloud, Google Workspace to design and create database structures, data fields, relationships and validation rules for SSIS operational records and define how this data is captured, stored, retrieved and reported across AI and software solutions.
• Use Gemini to evaluate AI models, tools, APIs and automation approaches to determine their suitability, feasibility and practical value for security operations, workforce and event management use cases.
• Use AWS EC2, Google Cloud, Vercel to monitor application usage, processing records, performance metrics and error logs to identify recurring errors, system issues and root causes, then implement preventive improvements to minimise disruption to daily security and administrative operations.
• Use AWS EC2, Vercel, Google Cloud, GitHub to configure development and production environments, deployment platforms and AI services to prototype, test, iterate and support stable production use of technology solutions within SSIS operations.
• Use Codex, Gemini to design AI software solutions by translating identified business requirements into application concepts, AI workflows, data flows, system architectures, integration flows, and user interfaces to address workforce and administrative needs.
• Use Gemini, Google Workspace to execute functional, integration and AI validation tests using actual SSIS operational scenarios to identify application errors, inconsistent AI responses, data processing issues and workflow gaps before and after deployment.
• Engage SSIS users, and internal teams to clarify requirements, align solution scope, support user acceptance and facilitate adoption of AI and software solutions in daily operations.
• Use WhatsApp API, Google Cloud, Vercel to develop and implement end-to-end integration roadmaps and interfaces to connect WhatsApp chatbots, web dashboards, cloud-hosted services, document-processing tools, by defining data-exchange flows, authentication, error handling and synchronisation rules, to ensure reliable information flow from employee submissions through claim processing and management reporting.
• Develop test plans and test procedures covering functional, integration, test data and acceptance criteria to verify that solutions meet SSIS workflow and performance requirements.
• Use Vercel, WhatsApp API to design clear and intuitive interfaces for AI applications, internal tools and dashboards to enable SSIS employees and management teams to submit, review, approve, reject and track operational cases efficiently.

Qualification:

• At least 2 years of working experience
• Bachelor in related fields is a plus
• Good at stakeholder Communication and attention to Detail
• Problem-Solving Mindset and have Adaptability & Learning Agility