Forward Deployment Engineer
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Be a Part of Something BIG!
As a Forward Deployment Engineer (FDE) you will deliver and operationalise AI and software solutions within real customer and business environments. Working at the intersection of engineering product and business you will translate requirements into production-ready systems that generate measurable impact.
You will embed closely with stakeholders to design customise deploy and scale AI-driven applications ensuring successful adoption and operational reliability. This role combines hands-on engineering with problem-solving in complex environments and is ideal for individuals who enjoy building solutions that directly influence business outcomes.
Make an Impact by:
Designing building and deploying end-to-end AI and software solutions including backend services APIs data pipelines and user interfaces to address real business needs.
Integrating AI models and applications with enterprise systems and operational workflows to enable seamless production adoption.
Collaborating with stakeholders to understand business challenges and translate requirements into scalable production-ready technical solutions.
Rapidly developing proof-of-concepts (POCs) and prototypes to validate ideas demonstrate value and accelerate decision-making.
Applying modern AI engineering practices including AI-assisted development and emerging tools to improve development speed and solution quality.
Evaluating and experimenting with new AI technologies frameworks and approaches to enhance solution capabilities and deployment effectiveness.
Customising platforms tools and workflows to meet specific operational and environment requirements.
Troubleshooting technical issues related to integration infrastructure performance and deployment environments.
Implementing security access control and governance requirements while monitoring system performance reliability and scalability.
Partnering with product AI engineering and solution architecture teams to identify reusable patterns improve platform capabilities and drive continuous innovation and adoption.
Skills for Success:
Qualifications & Experience
Bachelors degree in Computer Science Engineering Data AI/ML or related field.
Strong foundation in AI and programming with eagerness to learn and apply emerging technologies such as agentic AI frameworks.
Technical Skills
Proficiency in Python TypeScript/ Java or similar; full-stack development and production-quality coding.
Experience with REST/GraphQL APIs microservices SDK integration and enterprise system connectivity.
Familiarity with cloud platforms (AWS Azure GCP) containerisation (Docker Kubernetes) CI/CD pipelines and infrastructure-as-code tools.
Knowledge of SQL/NoSQL databases data pipelines LLM integration and orchestration frameworks (e.g. LangChain).
Experience in rapid prototyping proof-of-concept development performance tuning and root-cause analysis.
Good to Have
Experience with observability and monitoring tools (e.g. Prometheus Grafana ELK Datadog OpenTelemetry).
Familiarity with workflow automation and orchestration platforms (e.g. Airflow Temporal Camunda UiPath).
Soft Skills
Strong problem-solving ability in ambiguous and complex environments.
Clear communicator who collaborates effectively with technical and non-technical stakeholders.
Adaptable proactive learner with a growth mindset.
Team player who thrives in cross-functional environments.
Are you ready to say hello to BIG Possibilities
Take the leap with Singtel to unlock new opportunities and accelerate your growth. Apply now and start your empowering career!
Required Experience:
IC
Key Skills
- Jenkins
- Python
- Active Directory
- VMware
- Engineering
- Tcp/IP
- Deskstops
- OS
- Windows
- Database
- Linux
- Java
- Troubleshoot
- Technical Support
About Company
The Singtel Group, Asia's leading communications group provides a diverse range of services including fixed, mobile, data, internet, TV, infocomms technology (ICT) and digital solutions.
