Job descriptionAbout the Role We are seeking a senior, client-facing Pre-Sales Architect with deep expertise in Data Engineering, AI/ML, and Generative AI. The role requires strong technical depth combined with the ability to articulate business value, design scalable architectures, and support enterprise deal closures. This role involves designing and proposing AI-driven solutions that combine traditional ML with LLMs and agentic AI frameworks to power intelligent automation, document understanding, and enterprise-grade AI assistants.
Key Responsibilities Lead pre-sales engagements for Data, AI/ML, and GenAI opportunities Own solution architecture, effort estimation, and technical proposals (RFP/RFI/SOW) Translate business problems into scalable, production-grade data and AI architectures Design GenAI solutions including RAG, LLM orchestration, vector databases, and AI workflows Collaborate with sales to support deal strategy, pricing inputs, and technical presentations Conduct client workshops, discovery sessions, and architecture deep-dives Define POC / Pilot approaches, success criteria, and transition plans to delivery teams Review and guide solution feasibility, risks, dependencies, and assumptions
Mandatory Technical Skills Data Engineering & Platforms Cloud Data Platforms (AWS preferred, Azure / GCP nice to have) Data Lakes, Lakehouse, Data Warehouses (Redshift, Snowflake, BigQuery, Synapse, etc.) Data Automation using AWS Glue, Lambda, Step Functions, EventBridge ETL/ELT, batch & streaming architectures Strong Python skills AI / ML End-to-end ML lifecycle understanding Hands on experience on SageMaker, and broader AWS AI/ML Eco System. Solid MLOps fundamentals - model monitoring, CI/CD for ML, and security governance. Production ML on AWS using API gateway, ECS/EKS for scalable inference. Fluent with TensorFlow, PyTorch, Hugging Face Transformers Model training, deployment, monitoring concepts Generative AI (Must-Have) LLMs, Prompt Engineering, RAG architectures Vector databases (OpenSearch, Pinecone, FAISS, etc.) GenAI orchestration frameworks and production patterns Cloud & Architecture Secure, scalable, cost-optimized cloud design IAM, networking, observability, and governance concepts Pre-Sales & Consulting Skills 12+ years overall experience with strong pre-sales ownership Proven ability to influence CXO-level stakeholders Experience creating high-quality solution decks, architecture diagrams, and proposals Strong articulation of business value, ROI, and outcomes Comfortable working in fast-paced, multi-deal environments
Nice to Have Experience with industry-specific use cases (Finance, Healthcare, Media, Retail, Manufacturing, etc.) Exposure to AI governance, security, and compliance Prior experience transitioning deals from pre-sales to delivery
Why Join Us Work on cutting-edge GenAI and Agentic AI solutions that redefine enterprise intelligence. Collaborate with architects and data engineers in a high-impact innovation environment. Opportunity to design AI agents and copilots used across enterprise workflows. Flexible, collaborative, and innovation-driven culture with opportunities for rapid growth.