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

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.

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Equal Employment Opportunity Statement

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