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

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

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

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