GeneralPlan, establish, and manage digital engineering and IT projects and will serve as a liaison between the business and technical aspects of assigned projects.Track project performance periodically to ensure both short-term and long-term goals are met.Ensuring compliance with objectives, organizational policies, procedures, and standards.Lead product and services evaluation, contract negotiation and establishment.
Stakeholder managementLiaising with stakeholders such as project personnel, vendors, and end-users regarding project requirements.Team management.Create and maintain the stakeholder register.
Scope managementCreate and maintain the project management plan.Perform change management.
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Assist in the conceptualization, schematic design, and detailed development of master plans for various project types (e.g., new towns, mixed-use developments, urban regeneration, large-scale resorts).
Conduct comprehensive site analysis, including environmental conditions, cultural contexts, regulatory frameworks, and existing infrastructure, to inform design solutions. Develop land use plans, zoning analysis, density studies, and urban design schemes.
Integrate sustainable development principles, green infrastructure, and smart city concepts into planning proposals. Prepare detailed planning reports, design statements, feasibility studies, and presentations that effectively communicate planning concepts and proposals.
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Outstanding design sensibility
creativity
and ability to translate complex data and concepts into compelling
functional
and aesthetically pleasing urban designs.
You are expected to be a subject matter expert, collaborate and manage the team to perform effectively, take responsibility for team decisions, engage with multiple teams, and contribute to key decisions.
Expert proficiency in SAP Data Migration is required. Expert proficiency in Data Migrations and advanced proficiency in Syniti ADM for SAP are suggested.
Provide technical guidance and support to colleagues, fostering knowledge sharing and continuous improvement within the team.
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As a Data Migration Lead, you will be responsible for designing, developing, and maintaining data solutions that support data generation, collection, and processing.
Your day-to-day activities will include creating data pipelines, ensuring data quality, and implementing extract, transform and load processes to migrate and deploy data across systems.
You are expected to be a subject matter expert, collaborate and manage the team to perform effectively, take responsibility for team decisions, engage with multiple teams, and contribute to key decisions.
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Lead technical engagement with clients - Represent the company as the primary technical point of contact throughout discovery calls, site assessments, and solution walkthroughs, building the credibility that moves deals forward.
Translate technical capability into commercial value - Articulate how drone dock, quadruped/humanoid robotics, and RaaS solutions address specific client operational challenges, enabling the sales team to sell with confidence and precision.
Own end-to-end solution design - Assess client requirements and architect the corresponding hardware, software, and connectivity solution, working closely with engineering to validate technical feasibility before commitment.
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Lead technical engagement with clients - Represent the company as the primary technical point of contact throughout discovery calls, site assessments, and solution walkthroughs, building the credibility that moves deals forward.
Translate technical capability into commercial value - Articulate how drone dock, quadruped/humanoid robotics, and RaaS solutions address specific client operational challenges, enabling the sales team to sell with confidence and precision.
Own end-to-end solution design - Assess client requirements and architect the corresponding hardware, software, and connectivity solution, working closely with engineering to validate technical feasibility before commitment.
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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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