Engineering Leader of AI Transformation

About the Role

Altera is seeking a visionary and hands‑on Director of AI Transformation & Engineering Excellence to lead enterprise‑wide AI initiatives that accelerate productivity, modernize engineering workflows, and drive innovation. In this role, you will architect advanced AI/ML solutions, build and scale Altera’s AI Office, and elevate engineering excellence across the organization.

This position is ideal for a deeply technical leader who thrives at the intersection of strategy, execution, and organizational transformation.

Key Responsibilities

• Lead the strategic planning, design, and execution of AI‑driven transformation initiatives across Altera.

• Architect scalable, production‑grade AI/ML systems that improve engineering throughput and business productivity.

• Build and mentor an AI Office team focused on innovation, enterprise enablement, and continuous improvement.

• Partner with technology, product, and business leaders to identify and develop AI opportunities with measurable ROI.

• Champion engineering excellence—coding standards, MLOps best practices, automation, and performance optimization.

• Stay ahead of advancements in AI, LLMs, generative models, and intelligent automation to guide technology direction.

• Engage in hands‑on prototyping, model development, and technical reviews.

• Define KPIs, metrics, and dashboards to track the impact of AI transformation efforts.

• Foster a culture of collaboration, experimentation, and a strong can‑do attitude.

Required Qualifications

• 10+ years of hands‑on AI/ML engineering or applied research leadership.

• MS or PhD in Machine Learning, AI, Computer Science, or related field.

• Deep expertise in designing, developing, and deploying large‑scale AI/ML solutions.

• Strong proficiency in Python, and frameworks such as PyTorch, TensorFlow, and Scikit‑learn.

• Experience leading technical teams and building AI capabilities from the ground up.

• Proven track record in driving AI‑enabled productivity improvements or engineering transformations.

• Excellent communication, cross‑functional leadership, and stakeholder alignment skills.

• A collaborative mindset, high ownership, and a team‑first, can‑do approach.

Preferred Qualifications

• Experience launching or leading an AI Center of Excellence (CoE).

• Expertise in LLMs, generative AI, RAG systems, and vector retrieval technologies.

• Familiarity with cloud platforms (Azure, AWS, GCP) and scalable distributed systems.

• Publications, patents, or research contributions in ML/AI.