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Head of Engineering Transformation & AI Automation

Job in Union, Union County, New Jersey, 07083, USA
Listing for: Itcharm
Full Time position
Listed on 2026-06-04
Job specializations:
  • Engineering
    AI Engineer, Systems Engineer
  • IT/Tech
    AI Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 130000 - 160000 USD Yearly USD 130000.00 160000.00 YEAR
Job Description & How to Apply Below

Head of Engineering Transformation & AI Automation

Job details

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Location

EU

Cooperation

B2B

Just refi bonus

Seniority levels

Senior

Languages

Skills

AI optimization

LLM

We are a technology company. Our primary market is the USA. We build and evolve tech solutions for complex, regulated, and operationally intensive business domains where speed, quality, security, process maturity, and the ability to adapt quickly truly matter.

We are currently at a scaling stage. Our goal is to turn strategy into systematic execution, improve operational efficiency, strengthen the People function, develop the employer brand, and drive a natural process transformation — from a predominantly human‑driven model to a hybrid operations model where people and AI tools work together, and AI operations are continuously improved, measured, and embedded into the company's daily work.

Your role is to lead the company’s AI transformation, accelerate development, implement scalable automation, and improve the efficiency of the engineering organization.

Goal: AI becomes a natural, integral part of how the company operates — not a separate experiment.

Key Responsibilities

1. Strategy & Engineering Process Transformation
  • Develop and implement an AI transformation strategy focused on real business impact.
  • Identify processes (including HR, operations, knowledge management, reporting, internal communications) where AI delivers measurable benefits.
  • Gradually transform operational processes into a hybrid human + AI model.
  • Implement and improve engineering practices and development processes using AI.
  • Enhance the efficiency of the entire software development lifecycle (SDLC).
  • Establish unified development standards and an engineering culture.
  • Manage changes within the engineering function.
2. AI Infrastructure & Automation
  • Develop secure internal AI infrastructure and tools.
  • Implement automation systems and productivity management platforms.
  • Unify information flows and knowledge storage systems.
  • Support the deployment of language models and AI solutions for internal processes.
  • Ensure governance to prevent chaotic and unsafe use of AI.
3. Working with Engineering Teams & Related Functions
  • Collaborate with heads of engineering and related departments (HR, operations, etc.).
  • Increase the speed and efficiency of task execution.
  • Standardize development processes and team interactions.
  • Support the adoption of new processes without losing efficiency.
  • Facilitate the integration of AI tools across various company functions.
  • Foster a culture of continuous improvement where AI is part of operational maturity, not a toy.
  • Train employees to work with AI tools.
  • Establish an approach where AI operations are continuously improved.
  • Evaluate the effectiveness of AI initiatives through speed, cost, quality, and safety.

Requirements

Technical & Managerial Experience

  • 7+ years in senior engineering roles or AI transformation.
  • Experience managing engineering teams and collaborating with technical leads.
  • Strong technical background (development, infrastructure, AI).
  • Experience managing complex cross‑functional projects.

AI & Automation

  • Proven cases of AI and automation implementation.
  • Experience with AI tools, LLMs, and internal platforms.
  • Experience optimizing engineering processes through automation.

Transformation & Change Management

  • Successful implementation of organizational changes.
  • Experience standardizing engineering processes.
  • Ability to manage team resistance.
  • Influencing skills without authoritarian management.

Project & Stakeholder Management

  • Ability to build collaboration between engineering, business, and operational units.
  • Experience working in fast‑paced environments and growing companies.
  • Ability to balance strategy with attention to detail.

Nice to Have

  • Consulting or transformation background.
  • Platform engineering / Dev Productivity / AI infrastructure.
  • Building internal AI ecosystems.
  • Advanced English proficiency.

Personal Attributes

  • Proactive and highly self‑directed.
  • Focused on measurable business results, not just technology.
  • Empathy and excellent communication skills.
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