Job Description

This role owns end-to-end delivery of AI Vision and system integration projects — from technical discovery and scoping, through deployment into client environments, to final handover. This is not a pure coordination role. Our projects live at the intersection of cameras, servers, and software we deploy into our clients' physical sites, so you need a software developer's mindset — the ability to read code, question estimates, and talk to engineers as a peer — paired with hands-on comfort with CCTV systems and on-premise server deployment.

You will work closely with clients, AI engineers, developers, and vendors to keep timelines, budgets, and quality on track. Success looks like: camera-to-server and camera-to-cloud projects going live on schedule, clients who trust you because you speak their language, and an engineering team that moves faster because you were in the room.

KEY RESPONSIBILITIES

REQUIREMENTS

• Lead end-to-end project delivery, from technical discovery and solution scoping through on-premise deployment and final handover.
• Work hands-on with CCTV / video surveillance environments — IP cameras, NVRs, video management systems (VMS), and live video feeds — to plan and execute AI Vision deployments across client sites.
• Plan and oversee on-premise server and software deployment: hardware sizing, Linux environments, containers (Docker), networking, and security considerations, in partnership with our engineers.
• Partner with AI engineers and developers — including agentic AI initiatives such as multi-agent orchestration systems, natural-language query layers over real-time vision event data, and LLM tool-use and automation — to scope, estimate, and sequence work accurately.
• Develop detailed project plans, timelines, and resource allocation; monitor progress and report against KPIs.
• Serve as the primary point of contact for clients, managing communication and expectations across technical and business audiences.
• Proactively identify and mitigate project risks; manage scope changes and approvals.
• Ensure software deliverables meet quality standards and oversee key testing phases (URS, UAT).
• Maintain project documentation and drive continuous improvement in delivery processes.

Job Requirements

Must-Have

• Bachelor's Degree in Computer Science, Engineering, IT, or related technical field.
• Minimum 2 years managing software development and/or system integration projects.
• Software developer background — hands-on coding/scripting experience (Python, JavaScript, or similar) and the ability to read, understand, and challenge code and technical designs.
• Experience with CCTV or video surveillance systems — IP cameras, NVRs, video management systems, or video analytics platforms.
• Experience with on-premise server and software deployment — Linux, containers (Docker), networking.
• Demonstrated experience using AI, machine learning, and AI agent tools to improve delivery efficiency, reporting, or risk management — and interest in how AI agents are changing the delivery role itself.
• Strong working knowledge of project management methodologies (Agile, Scrum, or hybrid).
• Proven experience coordinating cross-functional teams and managing stakeholders.
• Proficiency in project management tools (e.g., MS Project, Jira, Trello).

Nice-to-Have

• Hands-on experience delivering agentic AI / LLM-agent projects.
• Experience in AI, IoT, or enterprise software projects.
• PMP, PRINCE2, Scrum, or equivalent project management certification.
• Experience managing multiple concurrent projects or large-scale, multi-site deployments.

WHO YOU ARE

• Highly organized and accountable, with strong ownership of project outcomes.
• Technically curious — you read the code, you climb the server room ladder, you ask engineers the uncomfortable questions.
• Clear and confident communicator, able to manage both technical and non-technical stakeholders.
• Proactive problem-solver who anticipates risks and acts early.
• Adaptable and resilient, thriving in fast-paced, dynamic project environments.

Skills