AI Application Consultant and Engineer (Gen AI & Agentic AI)(Japan Speaking) - KV

Position: AI Application Consultant and Engineer (Generative AI & Agentic AI)(Japanese Speaking) (Job ID: 20454)

• Tanjong Pagar

• Basic + VB
  

Job Description:

  Forward Deployed Engineering & Client Delivery

• Partner directly with clients and stakeholders to identify opportunities where AI agents can deliver measurable business value.

• Translate business requirements into technical solutions, implementation plans, and rapid prototypes.

• Lead end-to-end delivery from discovery and proof-of-concept through deployment, adoption, and continuous improvement.

• Facilitate technical workshops and collaborate with engineering, security, data, and business teams.

AI Agent Architecture & Engineering

• Design, develop, and deploy enterprise-grade AI agents using frameworks such as LangGraph, Semantic Kernel, AutoGen, OpenAI Agents SDK, and Copilot Studio.

• Build advanced agent workflows incorporating tool calling, planning, memory management, multi-agent orchestration, and human-in-the-loop processes.

• Integrate AI agents with enterprise applications, APIs, databases, knowledge repositories, and business processes.

• Implement RAG architectures, prompt engineering, guardrails, observability, evaluations, and performance monitoring.

• Optimize agent quality, reliability, scalability, safety, latency, and cost efficiency.
  

Full-Stack AI Application Development

• Develop modern AI-powered applications using React, Next.js, TypeScript/JavaScript, Python, FastAPI, and Flask.

• Build backend services, APIs, and conversational interfaces with streaming responses, authentication, citations, and feedback mechanisms.

• Apply software engineering best practices including testing, code reviews, version control, API design, and reusable component development.
  

Cloud, Integration & Productionization

• Design and implement secure, scalable cloud architectures across Azure, AWS, and Google Cloud.

• Deploy and manage applications using containerization, CI/CD pipelines, and cloud-native services.

• Monitor production environments, troubleshoot issues, and enhance operational resilience.

• Develop reusable frameworks and accelerators to support enterprise AI delivery.
  

Consulting & Solution Design

• Support AI and data consulting engagements by translating business challenges into technical solutions.

• Collaborate with clients to define AI use cases, analytical approaches, and implementation strategies.

• Conduct workshops and advisory sessions on AI adoption, data strategy, and solution architecture.

• Communicate complex technical and analytical concepts effectively to business and executive stakeholders.
  

Pre-Sales & Business Development Support

• Build demonstrations, prototype applications, and proof-of-concepts to support client engagements and proposals.

• Validate AI use cases, machine learning models, and solution architectures through rapid prototyping.

• Support client presentations, technical discussions, and solution positioning during the sales process.

• Contribute technical expertise to proposal development and business growth initiatives.

Job Requirements:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

• Minimum 3 years of experience in AI Engineering, Generative AI, AI Agent Development, Full-Stack Development, Cloud Solutions, or related areas.

• Hands-on experience in designing and developing AI agents, LLM applications, and enterprise AI solutions.

• Strong proficiency in Python, JavaScript/TypeScript, and modern frameworks such as React, Next.js, FastAPI, or Flask.

• Experience with AI agent frameworks such as LangGraph, Semantic Kernel, AutoGen, OpenAI Agents SDK, or Copilot Studio.

• Solid understanding of RAG, prompt engineering, vector databases, enterprise integrations, APIs, and cloud platforms (Azure, AWS, or GCP).

• Experience with containerization, CI/CD pipelines, and production deployment of cloud-based applications.

• Strong analytical, problem-solving, and communication skills with the ability to translate business requirements into technical solutions.

• Ability to work in fast-paced environments, manage ambiguous requirements, and drive solutions from concept to production.

• Experience in Machine Learning, Data Science, or Advanced Analytics, consulting or pre-sales engagements, enterprise-scale AI platform delivery, and exposure to Financial Services, Trading, Supply Chain, or other enterprise environments will be advantageous.

• Japan language is required to effectively communicate and collaborate with Japan speaking stakeholders and clients.
  

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