Senior Data & AI Presales Engineer - AWS FDE

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