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

Build, test, and refine solutions in the client environment and context

2. Client Engagement & Deal Origination

Lead:
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.

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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,militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected byapplicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Senior Data & AI Presales Engineer - AWS FDE