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AI Officer - Presales

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Onsite

AI Officer - Presales

Saaki Argus And Averil Consulting

AI Officer - Presales

Skills

Google Cloud PlatformPyTorchTensorFlowMachine LearningAIAWSSales StrategyNLP / Natural Language ProcessingAzure

8 months ago

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Important information


Location:

Uttar Pradesh, India

Work mode:

Onsite

Published on:

18 September 2026

What they need


Role: AI Pre-Sales Leader

Experience: 10+ years

Location: Noida (Work from office)

Role Summary: Looking for an experienced and dynamic AI Pre-Sales Leader to join a team. In this pivotal role, you will lead AI solution engagements with enterprise clients, driving business growth by bridging the gap between cutting-edge AI capabilities and real-world business needs.

The ideal candidate has a proven track record of influencing high-value enterprise deals, shaping client conversations, and creating compelling, AI-driven differentiators within an IT services organization.

Key Responsibilities

  • Pre-Sales Strategy: Lead the AI pre-sales function from opportunity identification to solutioning and proposal development.
  • Client Engagement: Act as a trusted advisor, build CXO-level relationships, and customize solutions for key sectors (BFSI, Healthcare, etc.).
  • Solution Design: Collaborate with technical teams to design scalable AI/ML architectures and drive proposal creation.
  • Team Leadership: Build, coach, and mentor a high-performing AI pre-sales team.
  • Market Intelligence: Stay ahead of AI market trends to differentiate the companys value proposition.

Qualifications

  • Bachelor's or Master's in a related field.
  • 10+ years in AI/ML roles, with 4-5+ years in pre-sales or consulting.
  • Proven success designing and pitching AI-led solutions to enterprise clients.
  • Strong knowledge of AI/ML platforms (TensorFlow, PyTorch), cloud services (AWS, Azure, GCP), and enterprise data ecosystems.
  • Excellent communication and executive presentation skills.

Preferred Skills

  • Experience in Indian IT services or global consulting.
  • Deep understanding of industry-specific AI use cases.
  • Familiarity with pricing models and deal structuring.
  • Exposure to GenAI, NLP, and conversational AI solutions.

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