Keyrus is looking for a Forward Deployed Engineer to join our Data & AI team in Singapore and support the delivery of high-impact AI, analytics, and data engineering solutions for enterprise clients across APAC.
This is a hybrid role at the intersection of data engineering, AI solution delivery, business consulting, and client-facing implementation. You will work closely with business stakeholders, data teams, and technology leaders to understand business challenges, translate them into technical solutions, and help build production-ready data and AI applications
.You will be involved in projects such as enterprise AI assistants, GenAI / RAG solutions, data platforms, customer 360, analytics products, automation workflows, and operational AI use cases across industries including retail, luxury, F&B, financial services, healthcare, logistics, and manufacturing
.
Key Responsibiliti
- esWork directly with clients to understand business needs, data landscape, workflows, and operational pain point
- s.Translate business requirements into practical data, analytics, and AI solution design
- s.Build and deploy data pipelines, APIs, dashboards, prototypes, and AI-powered application
- s.Support the development of GenAI and agentic AI solutions, including RAG pipelines, enterprise search, document intelligence, and workflow automatio
- n.Collaborate with data engineers, data scientists, architects, product teams, and business users to move solutions from prototype to productio
- n.Connect and integrate data from multiple systems such as databases, APIs, cloud platforms, business applications, and document repositorie
- s.Prepare demos, technical documentation, solution walkthroughs, and client-facing material
- s.Support pre-sales and discovery workshops by helping shape solution ideas, feasibility assessments, and implementation roadmap
- s.Ensure solutions are scalable, secure, maintainable, and aligned with enterprise data governance standard
s.
Required Skills & Experie
- nce3+ years of experience in data engineering, software engineering, analytics engineering, AI engineering, or a similar technical ro
- le.Strong hands-on experience with Python and S
- QL.Experience building data pipelines, APIs, data models, or analytics applicatio
- ns.Exposure to cloud data platforms such as Azure, AWS, GCP, Databricks, Snowflake, Microsoft Fabric, or simil
- ar.Good understanding of modern data architecture concepts such as lakehouse, ETL/ELT, data modelling, semantic layers, and BI consumpti
- on.Experience with at least one BI or analytics tool such as Power BI, Tableau, Looker, or simil
- ar.Strong problem-solving mindset and ability to work in ambiguous, fast-moving client environmen
- ts.Excellent communication skills, with the ability to explain technical concepts to both technical and business audienc
- es.Comfortable working directly with clients and business stakehold
ersNice to H
- aveExperience with GenAI, LLMs, RAG architecture, LangChain, vector databases, agents, or enterprise AI assistan
- ts.Experience with Databricks, Microsoft Fabric, Snowflake, or Datai
- ku.Experience with enterprise search, knowledge management, workflow automation, or AI copilo
- ts.Exposure to MLOps, CI/CD, Git, Docker, Terraform, or cloud deployment practic
- es.Consulting, pre-sales, or client-facing project experien
- ce.Experience in retail, luxury, F&B, insurance, banking, logistics, healthcare, or manufacturi
ng.What We Are Looking
ForWe are looking for someone who is not only technically strong, but also business-oriented, curious, and comfortable working close to the clie
nt.The ideal candidate can quickly understand a business problem, explore the available data and systems, build a working solution, and communicate clearly with stakeholders. You should enjoy being hands-on, solving real-world problems, and bridging the gap between strategy, technology, and executi
on.
Why Join Ke
- yrusJoin a leading international consulting firm specialized in Data, AI, Digital, and Business Transformat
- ion.Work on innovative Data & AI projects for major enterprise clients across Singapore and A
- PAC.Be part of a growing regional team with access to global expertise and delivery cent
- ers.Get exposure to modern platforms such as Databricks, Snowflake, Microsoft Fabric, Dataiku, Glean, Azure, AWS, and
- GCP.Play a key role in shaping practical AI solutions that create real business va
lue.