Chief AI Officer

5 days ago

Hyderabad Secunderabad, India aci infotech Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Job Description

: Chief AI Officer (CAIO) ArqAI

12 Years (5 in AI Leadership)

AI Strategy, GenAI, RAG, MLOps, Agent Orchestration, Model Risk Management, AI Governance, Compliance & Safety, LLMs, Vector Retrieval

Full Time

Hyderabad, India

Chief AI Officer, ArqAI

Full-time Hyderabad, India Attractive compensation with stock options

Why this role

ArqAI delivers outcome-tied enterprise AI with production-grade safety. We are formalizing the CAIO role to own the AI portfolio, from research to production, and to hard-wire governance, trust, and observability into every agent and model we ship.

What you will do

  • Set the AI strategy. Prioritize use cases that move client KPIs and can scale repeatably across industries through our global delivery backbone.

  • Lead multi-disciplinary teams across GenAI, RAG, MLOps, and agent orchestration.

  • Institutionalize ArqAIs proprietary methods:

    • Trust-Aware Agent Orchestration for risk-adaptive, token-scoped actions with verifiable receipts.
    • Compliance Aware Prompt Compiler for policy-checked task plans and signed evidence packets.
    • Observability-Driven Adaptive RAG for real-time retrieval, prompt, and model reconfiguration.

  • Own model risk management. Define evaluation, red teaming, lineage, and human-in-the-loop gates.

  • Drive platform and reference-architecture roadmaps that are model- and vendor-agnostic.

  • Partner with the CIO to embed governance-by-design in infra, data, and SDLC.

  • Represent ArqAI with customers, partners, analysts, and at key industry forums.

Outcomes you will own
  • Launch repeatable AI solutions with measurable production lift, not prototypes.
  • Reduction in compliance incidents and audit time through attested evidence and policy-aware execution.
  • Continuous relevance gains in RAG systems through adaptive controls and feedback.
What you bring
  • 12 years in applied AI or data science with 5 years leading productized AI in production.
  • Depth in LLMs, vector retrieval, evaluation, MLOps, and agent frameworks.
  • Hands-on with safety, security, privacy, and regulatory mapping in enterprise contexts.
  • A track record of turning research into shipped, revenue-impacting systems.
Nice to have
  • Published work or patents in orchestration, observability, or AI safety.
  • Experience in regulated domains where auditability is non-negotiable.
How we work

Hyderabad headquarters with global client exposure. Leverage ACIs embedded onsite leaders and large offshore centers to deliver at speed and scale.

Compensation

Attractive salary, performance bonus, and stock options. Benefits aligned to a leadership role in a high-growth business.

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