Senior Data & AI Presales Engineer (AWS | Forward Deployed Engineer)
Role Summary
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
1. 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
2. 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
3. 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
4. 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
5. 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
6. 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
Singapore
Equal Employment Opportunity Statement
We are looking for people with their own life story and out-of-the-ordinary resume. Individual, not just like the rest. Different rather than conventional. Diversity is our strength and an essential element of Accenture’s corporate culture. We want an inclusive and open working environment in which everyone can be their natural selves. Everyone is welcome to apply to Accenture, regardless of origin, creed, disability, age, nationality, marital status, partnership status, sexual orientation, gender or other legally protected reasons.
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.