Senior Data & AI Presales Engineer - AWS FDE

accenture southeast asia

Singapore

On-site

SGD 180,000 - 240,000

Full time

11 days ago

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Job summary

Accenture Southeast Asia seeks a Senior Data & AI Presales Engineer to act as a Forward Deployed Engineer, embedding with clients to originate, shape, and win AI and data transformation opportunities.

You will design AWS-based solutions, build live demos and PoCs, and lead small teams to deliver end-to-end solutioning and pre-sales execution. Strong engineering and presales instincts are essential.

Qualifications

8–15+ years in data engineering, AI/ML or cloud engineering.
Hands-on experience with AWS data & AI technologies.
Proven client-facing presales / solutioning experience.
Ability to build data pipelines, APIs and cloud apps quickly.
Comfort delivering live demos and PoCs under time pressure.

Responsibilities

Forward Deployed Engineering with client-embedded delivery.
Identify use cases, validate feasibility, shape deals in real time.
Lead workshops, architecture deep-dives, and technical discussions.
Develop demos, PoCs and value-focused AI/data solutions.
Coordinate small teams for end-to-end solutioning and proposal support.

Skills

Forward Deployed Engineer mindset

Builder mentality

Presales instinct

Tools

Python programming

SageMaker

Bedrock

LangChain

API Gateway

AWS data & AI technologies

Job description

Customer analytics / recommendation engines
AWS Data & AI Engineering (Hands-on)
Data Engineering

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
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
Required Qualifications
- 8–15+ years of experience in:
  - Data engineering, AI/ML, or cloud engineering
  - Enterprise or financial services environments
- Strong hands‑on experience in:
  - AWS data and AI technologies
  - Designing and building cloud-based solutions
- Proven experience in:
  - Client‑facing presales / solutioning roles
  - Engaging clients to shape and win deals
- Strong hands‑on programming skills in Python, with ability to build:
  - Data pipelines
  - APIs and cloud-native applications
  - AI/ML and GenAI prototypes
- Demonstrated ability to:
  - Build live demos / PoCs under time pressure
  - Translate ideas into working solutions quickly
Preferred Qualifications
- Experience in:
  - BFSI (banking, insurance, financial services)
  - AI use cases (fraud, risk, personalization, customer 360)
- Hands‑on experience with:
  - GenAI frameworks (RAG, LangChain, orchestration tools)
  - Streaming data / real‑time processing
- AWS Certifications:
  - Data Engineer / Machine Learning / Solutions Architect
Key Success Profile
- Forward Deployed Engineer mindset — thrives in client-facing, fast‑moving environments
- Strong builder mentality — able to code, prototype, and demo live
- Strong presales instinct — can originate and shape deals
- Able to bridge business needs with technical solutions
- Comfortable operating in ambiguity and rapid iteration cycles