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Job Closed

Solution Architect - AI

  • Source: Naukri
  • Wipro
  • Hybrid
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

  • Technical Sales Leadership: Act as the primary technical expert in client-facing pitches. Partner with the Sales team to uncover client needs, navigate complex technical objections, and close enterprise deals.
  • Solution Design: Architect end-to-end data pipelines and human-in-the-loop (HITL) workflows tailored to specific AI models (e.g., RLHF, multimodal data generation, red-teaming).
  • RFx Management: Own the technical response strategy for RFPs, RFIs, and security questionnaires. Craft compelling, highly detailed, and accurate technical proposals under tight deadlines.
  • Pitch & Collateral Creation: Design highly polished pitch decks, architectural diagrams, and case studies that clearly articulate our value proposition and technical superiority to AI researchers and engineering leaders.

Capability Research & Innovation

  • R&D / Frontier Tech: Constantly research the bleeding edge of AI (e.g., agentic workflows, complex reasoning models, synthetic data).
  • Design New Offerings: Translate industry trends into actionable new business capabilities. Work out how we can source, tool, and operationalize new types of data collection before our clients even ask for it.
  • Proof of Concepts (PoCs): Build and oversee small-scale pilot programs to prove out new capabilities, demonstrating viability to clients before scaling up.

Cross-Functional Alignment

  • The Handoff: Ensure a seamless, airtight transition from the sales cycle (what we promised) to the Project Leaders (what we must execute).
  • Product Partnership: Act as the voice of the customer. Aggregate market demands and technical roadblocks, feeding them back to our Product and Engineering teams to influence the platform roadmap.

What Were Looking For

  • Experience (Required): Strictly 5+ years of experience directly in an AI/ML Solutions Architecture, Pre-Sales Engineering, or highly technical client-facing role. You must have a proven track record of selling and scoping complex AI or data operations solutions.
  • Technical Fluency: Deep, practical understanding of modern AI paradigms (LLMs, Generative AI, Computer Vision, RLHF). You need to hold your own in a room full of PhD-level AI researchers.
  • Commercial Acumen: You possess the “sales gene.” You know how to read a room, tie technical features to business outcomes, and drive revenue.
  • Exceptional Communicator: You are equally adept at whiteboarding complex system architectures, writing flawless RFP responses, and delivering charismatic pitch presentations.
  • Builder’s Mindset: You are not just selling off a menu; you are designing the menu. You enjoy building new capabilities from scratch.
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