Senior Data & AI Presales Engineer (AWS | Forward Deployed Engineer) at Accenture

Singapore, Singapore, Singapore -

Full Time

Start Date

Immediate

Expiry Date

28 Sep, 26

Salary

0.0

Posted On

01 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS Data Engineering, Generative AI, Python, Presales Engineering, Rapid Prototyping, Solution Architecture, RAG Pipelines, Machine Learning, Cloud-Native Application Development, Client Engagement, Data Warehousing, API Development, PoC Development, Technical Leadership, AWS Bedrock, AWS SageMaker

Industry

Business Consulting and Services

Description

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 About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive. Explore your next step at Accenture Belong. Grow. Thrive. Join a great place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture

Responsibilities

Act as a Forward Deployed Engineer to identify AI and data use cases and build rapid prototypes and live demos for clients. Lead the technical design and execution of AWS-based AI solutions to drive deal conversion and business outcomes.