Head of AI Engineering & Products

About Green Rock Innovations

Green Rock Innovations is a climate and infrastructure technology company revolutionizing the raw material segment of Indian construction by recycling aged rock into certified, low-carbon construction materials. The company is also developing a marketplace and technological framework to facilitate nationwide distribution of this sustainable material.

Role Overview

The company is seeking a distinguished leader to helm its AI Engineering division. This role entails designing and overseeing the intelligent architecture that supports the entire physical and logistical operations. The Head of AI Engineering will be ultimately responsible for automation frameworks, setting boundaries for AI decision-making autonomy versus human validation, and continuously monitoring system dependability.

Primary Responsibilities

• Develop and implement a long-term strategy for machine learning and AI applications across sourcing, dispatch, quality control, and demand forecasting, including critical evaluations of build-versus-buy options and technology architectures such as fine-tuning and retrieval-augmented generation (RAG).
• Establish autonomy and reliability guidelines by defining confidence thresholds, managing risk parameters, and setting escalation protocols. Create comprehensive evaluation engines using offline validation sets, reserved test data, shadow deployments, and methods to detect production data drift. Hold authority over granting or revoking system autonomy based on performance.
• Build robust data foundations with impeccable contracts, schema designs, entity resolution processes, and full lineage tracking from raw inputs to model inference. Identify and fix data pipeline inefficiencies across quarry, production, and logistics operations to ensure data quality and traceability.
• Recruit, mentor, and expand a high-performing team of engineers and scientists to mature early-stage pilots into reliable production tools utilized at field sites.

Qualifications & Expectations

• Have 8 to 10 years of intensive startup experience in deep tech domains, especially fintech, algorithmic trading, or financial infrastructure.
• Possess firsthand experience managing the interface between automated AI decision-making and human oversight, including defending these frameworks to regulators and auditors.
• Hold a Bachelor's or higher degree in Computer Science, Engineering, Financial Engineering, or other highly quantitative areas.
• Demonstrate deep expertise in MLOps, vector search technologies, embedding pipelines, feature store design, and advanced model evaluation techniques.
• Be proficient in relevant programming languages to audit complex codebases, trace data pipelines end-to-end, and validate model functionality mathematically.
• Have a proven track record managing and scaling high-performance technical teams with a mindset geared toward rigorous, first-principles-driven engineering.

Candidate Profile Clarifications

• This role is not suitable for professionals who focus primarily on theoretical model complexity without regard to practical operational impact.
• It is unsuitable for leaders expecting data infrastructure challenges to be exclusively handled by dedicated infrastructure teams.
• Candidates must be comfortable acting as the final decision maker, with the ability to pause or halt deployments if system performance does not meet strict reliability standards.

Compensation

This role is an executive-level position with full ownership of outcomes. The compensation package is competitive with top fintech and applied AI product leadership positions and includes a fixed base salary, variable performance bonuses, and long-term equity incentives.

Application Details

Qualified candidates are encouraged to apply by reaching out directly via company communication channels with a detailed summary of the most complex automation threshold they have designed, deployed, or defended.