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indeed

AI Architect

Accellor
IND
Full-time
Onsite
Discovered 1 weeks ago
Generative AILarge Language ModelsAgentic AIRetrieval-Augmented GenerationMachine learningData engineering
Free

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Role Overview

Accellor is hiring an AI Architect to strengthen its AI, Data, and Engineering capabilities.

This strategic leadership role builds a high-performing Center of Excellence, drives AI innovation, develops client relationships, and strengthens enterprise delivery.

Key Responsibilities

  • Execute the AI and Data strategy in alignment with Accellor’s global AI vision and roadmap.
  • Build and scale an AI, Data, and Engineering organization.
  • Lead Generative AI, LLM, RAG, AI agent, machine learning, and intelligent automation solutions.
  • Develop AI products, platforms, accelerators, reusable frameworks, and intellectual property.
  • Identify AI opportunities with enterprise clients and C-suite stakeholders.
  • Deliver strategic AI programs with quality, speed, scalability, and measurable ROI.
  • Support sales and business development through pre-sales, solutioning, proposals, and account expansion.
  • Attract, develop, and retain technical talent across AI, data, software, and architecture.
  • Represent Accellor through forums, events, partnerships, and thought leadership.

Requirements

  • 15–18 years of technology, AI, data, product engineering, or consulting experience, including 8+ years leading an AI team.
  • Experience as an AI Architect, Technology Lead, Engineering Lead, Data & AI Leader, or equivalent in consulting or services.
  • Strong expertise in Generative AI, LLMs, Agentic AI, RAG, machine learning, data engineering, and cloud platforms.
  • Experience taking AI initiatives from proof of concept to production scale and leading large technology organizations.
  • Enterprise client-facing and C-suite stakeholder management experience.
  • Understanding of growth, revenue, margins, delivery, and commercial outcomes.
  • Exceptional communication, strategic thinking, and executive leadership capabilities.
  • Engineering or technology degree is required; an advanced degree is a plus.
  • Industry experience in SaaS, IT services, enterprise technology, e-commerce, Martech, digital products, or AI-first organizations is preferred.
  • Center of Excellence building or scaling experience is advantageous.

Benefits and Development

  • Accellor offers flexible work schedules, opportunities to work from home, paid time off, and holidays.
  • Professional development includes communication, stress management, certification, technical, and soft-skills training.
  • Benefits include medical and accident insurance, health programs, extended maternity leave, performance bonuses, and referral bonuses.

About Accellor

Accellor works with global brands across high-tech, communications, media, healthcare, retail, and telecom.

The company describes a collaborative environment with opportunities to work across global centers.

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