Senior Data & AI Presales Engineer - AWS FDE
A client-embedded Forward Deployed Engineer at Accenture who works directly with enterprise clients to identify AI/data use cases, rapidly build AWS-based demos, PoCs and prototypes (GenAI/RAG chatbots, document processing, analytics), and lead presales solutioning with small technical teams. Core stack: AWS data & AI services (S3, Glue, Redshift, SageMaker, Bedrock, Lambda) and Python.
- Compensation
- Not disclosed
- Location
- Singapore, Singapore
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 15+ years
- Category
- Solutions engineering
- Posted
Skills
Must have
- 8–15+ years of experience in data engineering, AI/ML, or cloud engineering
- Experience in enterprise or financial services environments
- Strong hands-on experience with AWS data and AI technologies
- Experience designing and building cloud-based solutions
- Proven experience in client-facing presales / solutioning roles
- Experience engaging clients to shape and win deals
- Strong hands-on programming skills in Python
- Ability to build data pipelines, APIs and cloud-native applications
- Ability to build AI/ML and GenAI prototypes
- Demonstrated ability to build live demos / PoCs under time pressure and translate ideas into working solutions quickly
Nice to have
- Experience in BFSI (banking, insurance, financial services)
- Experience with AI use cases (fraud, risk, personalization, customer 360)
- Hands-on experience with GenAI frameworks (RAG, LangChain, orchestration tools)
- Hands-on experience with streaming data / real-time processing
- AWS Certifications: Data Engineer / Machine Learning / Solutions Architect
Full description
We are seeking a Senior Data & AI Presales Engineer to act as a Forward Deployed Engineer (FDE)—working directly with clients to originate, shape, and win AI & data transformation opportunities. This is a high-impact, hands‑on, client‑embedded role requiring the ability to: Engage clients to identify and shape high‑value AI/data use cases Design and build AWS‑based solutions aligned to business outcomes Develop live demos and prototypes on the spot to accelerate deal conversion Lead small teams to deliver end‑to‑end solutioning and pre‑sales execution The ideal candidate combines strong engineering capability, presales instincts, and rapid prototyping expertise.
Key Responsibilities
- Forward Deployed Engineering (Client-Embedded Role) Work directly with client stakeholders (business + IT) to: Identify use cases and problem statements Validate technical feasibility and solution fit Act as a technical co‑pilot during deal shaping, iterating solutions in real time Rapidly adapt solutions based on: Client feedback Data availability Business constraints Expected behavior: Build, test, and refine solutions in the client environment and context
- Client Engagement & Deal Origination Lead: Discovery workshops Technical solution discussions Architecture deep‑dives Translate business challenges into: AI/data use cases Executable solution designs Support: Opportunity creation and qualification Proposal development and technical response
- Demo Engineering & Rapid Prototyping (Critical) Build live demos, PoCs, and proof‑of‑value solutions during client engagements Translate concepts into: Working applications API‑driven services AI‑enabled workflows Expected capability: Build a functional demo within hours/days, such as: GenAI assistants (RAG‑based chatbots) AI‑powered document processing (KYC, contracts) Customer analytics / recommendation engines
- AWS Data & AI Engineering (Hands‑on) Data Engineering Design and build: Data lakes and pipelines (S3, Glue, Athena) Data warehousing solutions (Redshift, Aurora) Work with structured and unstructured enterprise data AI / ML / GenAI Develop and integrate: Machine learning models (SageMaker) GenAI applications (Bedrock, LLM‑based solutions) Implement: RAG pipelines Vector search and knowledge retrieval Application Development Build cloud‑native applications using: Lambda, ECS/EKS API Gateway, Step Functions Deliver end‑to‑end working solutions, not just architecture
- Solutioning & Architecture Leadership Define: Solution architecture and patterns Technology stack and integration approach Ensure: Scalability, performance, and cost optimization Drive solution alignment with: Client KPIs and business outcomes
- Team Leadership & Delivery Coordination Lead small technical teams for: Demo development Solutioning and proposal support Provide: Technical direction and quality assurance Collaborate with: Architects, data scientists, and delivery teams