Forward Deployed Engineer (Agentic AI)

About the Client

Our client is a leading technology consulting and AI solutions provider specializing in building production-grade Agentic AI systems for enterprises across the Asia-Pacific region. Working with organizations in banking, telecommunications, insurance, and retail, they deliver mission-critical AI solutions that operate within highly regulated environments.

The company combines deep expertise in cloud technologies, AI engineering, and enterprise transformation to help organizations deploy intelligent systems at scale.

About the Role

We are seeking a highly capable Forward Deployed Engineer (Agentic AI) to design, build, and deploy production-ready AI agent systems within enterprise environments.

In this role, you will work directly with client teams, embedding within project squads to develop, evaluate, and optimize agentic AI solutions that solve real business challenges. You will take ownership of the full lifecycle—from architecture and implementation to deployment, monitoring, and continuous improvement.

This position is ideal for engineers who are passionate about AI, enjoy solving complex technical problems, and thrive in fast-paced, client-facing environments.

Key Responsibilities

Build Production Agentic AI Systems

• Design and develop AI agent solutions using modern agent frameworks and cloud-native technologies.

• Build multi-agent workflows, RAG pipelines, tool integrations, MCP servers, and human-in-the-loop systems.

• Integrate AI solutions with enterprise platforms, APIs, and data sources while meeting security and compliance requirements.

Evaluation & Quality Engineering

• Define evaluation frameworks and performance benchmarks before implementation.

• Develop testing and monitoring mechanisms to measure system quality and reliability.

• Continuously evaluate, optimize, and improve AI system performance in production.

Enterprise Integration

• Work within complex enterprise environments involving legacy systems, access controls, compliance requirements, and operational constraints.

• Design solutions that operate effectively within real-world business and regulatory environments.

Ownership & Delivery

• Own solutions from design through production deployment and post-launch support.

• Maintain high standards for code quality, testing, documentation, and maintainability.

• Troubleshoot production issues and contribute to architectural improvements.

DevSecOps & Platform Engineering

• Apply DevSecOps best practices throughout the development lifecycle.

• Implement CI/CD pipelines, infrastructure automation, observability, and security controls.

• Ensure systems meet enterprise-grade reliability and security standards.

Knowledge Sharing & Innovation

• Contribute reusable assets such as frameworks, deployment templates, design patterns, and engineering best practices.

• Stay current with advancements in AI, cloud technologies, and agentic systems.

• Share knowledge across teams and help drive technical excellence.

Client Engagement

• Collaborate closely with client stakeholders and technical teams.

• Participate in technical discussions, design reviews, and solution presentations.

• Communicate complex technical concepts clearly to both technical and non-technical audiences.

Requirements

Required Qualifications

• 4–6 years of software engineering experience.

• Strong programming skills in Python with experience building production systems.

• Experience with AI agent frameworks such as LangGraph, LangChain, CrewAI, or similar technologies.

• Solid understanding of:

  • Agentic AI architectures

  • Retrieval-Augmented Generation (RAG)

  • Vector databases

  • Prompt engineering

  • Evaluation frameworks

• Hands-on experience with AWS cloud services.

• Familiarity with CI/CD pipelines, Infrastructure as Code, testing, and security best practices.

• Strong software engineering fundamentals and system design capabilities.

• Excellent problem-solving and analytical skills.

• Strong communication skills and ability to work directly with clients.

Preferred Qualifications

• Experience building and deploying production AI systems.

• Additional programming experience in TypeScript, Java, or Go.

• AWS certifications such as:

  • AWS AI Practitioner

  • AWS Certified Machine Learning Engineer – Associate

  • AWS Solutions Architect

• Experience working within regulated industries such as banking, insurance, telecommunications, or healthcare.

• Familiarity with modern DevSecOps practices and cloud-native architectures.

• Anthropic or other AI platform certifications.

What Sets Successful Candidates Apart

• Proven experience building and operating production AI applications.

• Strong ownership mindset and accountability for delivery outcomes.

• Passion for exploring emerging AI technologies and applying them in real-world scenarios.

• Ability to identify risks early and solve problems proactively.

• Experience creating reusable frameworks, tools, or technical assets that benefit multiple teams.

• Strong understanding of how AI can accelerate software development and engineering productivity.

What Success Looks Like

• Delivering AI solutions that create measurable business value for enterprise clients.

• Building systems that are reliable, scalable, secure, and maintainable.

• Contributing reusable technical assets that accelerate future projects.

• Continuously expanding technical expertise and driving innovation within project teams.

• Building strong relationships with clients through high-quality delivery and technical excellence.

Benefits

• Competitive compensation package.

• Opportunity to work on large-scale AI transformation programs across APAC.

• Exposure to cutting-edge AI technologies, cloud platforms, and enterprise systems.

• Collaboration with experienced AI, cloud, and engineering professionals.

• Continuous learning and professional development opportunities.

• International project exposure and cross-market collaboration.

• Dynamic, high-performance engineering culture.

Note: Only candidates with existing unrestricted work authorization in Singapore will be considered. Visa sponsorship is not available for this position.