Senior Strategy/Management Consultants - AI Reasoning Quality Evaluation (Chennai, Tamil Nadu, India)

Location: Remote

Engagement Type: Full-time Contract

Contract Duration: Minimum 1-month contract, extendable based on project charter.

Role Overview

Deccan AI Experts is actively seeking experienced Strategy/Management Consultants or Engagement Managers (minimum 6 years of experience) to join our remote team. Your primary responsibility will be to evaluate and enhance the reasoning quality of advanced AI systems. In this unique role, you will act as an Engagement Manager, critically assessing the work produced by an AI acting as a junior consultant. You will be tasked with designing realistic consulting scenarios, defining optimal problem-solving workflows, and meticulously auditing the AI's outputs for analytical rigor, source quality, and logical consistency.

This position is ideally suited for accomplished consultants who are currently on a career break or exploring a professional transition, seeking a short-term, intellectually stimulating, and high-impact engagement.

Key Responsibilities

• Prompt Architecture (Client Simulation): Develop high-fidelity consulting prompts that accurately simulate real-world client problems. Examples include decomposing unit economics for a D2C launch in Vietnam. Prompts may incorporate synthetic supporting materials such as Excel models, PDFs, research documents, communications, or slide decks to closely mirror actual consulting workflows.
• Golden Path Definition: Establish the ideal step-by-step workflow for effectively solving complex consulting problems. Define clear benchmarks for what constitutes high-quality consulting analysis.
• Forensic Evaluation (Audit): Conduct thorough reviews of AI-generated research and strategy memos. Identify and document critical issues, including:
  • Source Failures: Detection of the use of weak or generic sources instead of authoritative materials (e.g., government publications, regulatory filings, industry databases).
  • Logic Breaks: Identification of missing variables or flawed assumptions in analytical models (e.g., confusion between margin and markup).
  • Hallucinations: Pinpointing fabricated regulations, statistics, or metrics.
  • Value-at-Stake Sizing: Verification of market sizing models (TAM/SAM/SOM) and financial calculations using first-principles reasoning.
• Feedback Loops (RLHF): Provide clear, structured, and actionable feedback, explaining precisely why an AI output is deficient and outlining specific methods for improvement. This feedback is crucial for helping the AI learn and adopt consultant-grade reasoning capabilities.

Required Experience

• Minimum of 6 years of experience in Management Consulting or Corporate Strategy.
• Experience at reputable firms such as McKinsey, Bain, BCG, Oliver Wyman, L.E.K., Strategy&, EY-Parthenon, Kearney, or similar leading consulting organizations is strongly preferred.