Senior Data & AI Presales Engineer - AWS FDE

• 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