Bachelor’s degree in Instrumentation, Electrical, Electronics or Mechanical Engineering, or a related field.
At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.
Bachelor’s degree in Instrumentation, Electrical, Electronics or Mechanical Engineering, or a related field.
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Familiar and able to design Security System and other ELV System such as BMS, Intercom etc.
Establish and maintain appropriate relationships with customers, enabling the company to be active & leading, speedy response time, highly profitable, excellent payment collection position at all time.
External communication with customers, consultants, general contractor, supervision, design institute and other construction units, manage site activities to ensure compliance to quality standards.
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Drive BMS growth in the data center sector by engaging early with key consultants, EPCs, and owners, positioning JCI cooling solutions in design/specifications, and influencing hyperscaler regional teams to secure procurement and pre‑qualification.
Achieve assigned annual sales and gross margin targets
Prepare technical proposals, system designs, tenders and quotations
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Agentic AI ArchitectureDesign and implement production-grade agentic systems using models such as Claude. Agent orchestration, tool calling, function calling, multi-agent architectures, planning and task decomposition, agent memory, context management, state machines and workflow engines, long-running agents, human-in-the-loop systems, autonomous execution, recovery and retry mechanisms, observability, and evaluation. You understand the difference between LLM → Agent → Workflow → Autonomous System, and when each is appropriate.
Agentic Loops & Self-OptimizationA major part of the role is building closed-loop systems: Goal → Plan → Execute → Observe → Evaluate → Learn → Re-plan → Execute. Systems that evaluate their own outputs, detect failed actions, identify root causes, adjust strategies, optimize prompts and tool selection, keep what works, roll back what does not, and improve over time. Reflection, critique, self-evaluation, feedback loops, reward signals, evaluation frameworks, automated experimentation, memory, retrieval, state management.
Claude / LLM EngineeringDeep practical experience with Claude/Anthropic APIs is highly desirable. Tool use, structured outputs, streaming, context management, prompt engineering, system prompts, long-context workflows, model routing, token optimization, latency and cost optimization, context compression, agent memory, LLM evaluation. Experience with other frontier models (OpenAI, Gemini, Llama or equivalent) is a plus.
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Build and lead the project delivery function: hire, mentor, and manage project managers; set delivery standards, playbooks, and KPIs.
Own portfolio-level delivery — timelines, budgets, quality — across all concurrent AI Vision, system integration, and enterprise deployment projects.
Personally lead the largest, most complex programs: CCTV / video surveillance rollouts, multi-site on-premise server and software deployments, and agentic AI initiatives (multi-agent orchestration systems, natural-language query layers over real-time vision event data, LLM tool-use and automation).
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Collaborate with the sales team and lead deep-dive sessions with customers to understand their current infrastructure, pain points, and future goals, and translate them into technical solutions.
Conduct live product demonstrations, presentations, and manage Proof of Concept (PoC) evaluations to prove the value of proposed solutions.
Provide pre-sales support, including preparing bill of materials, technical proposals, and technical specifications.
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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.
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Collaborate with the sales team and lead deep-dive sessions with customers to understand their current infrastructure, pain points, and future goals, and translate them into technical solutions.
Conduct live product demonstrations, presentations, and manage Proof of Concept (PoC) evaluations to prove the value of proposed solutions.
Provide pre-sales support, including preparing bill of materials, technical proposals, and technical specifications.
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