Director Engineering - Manufacturing (Hands-on AI Engineering Experience)

Responsibilities

• Lead and develop software engineers delivering Manufacturing product capabilities, remaining hands-on where this adds the most value.
• Own delivery outcomes across the full software lifecycle, balancing scope, quality, risk, and operational responsibility ("you build it, you run it").
• Provide technical leadership through design reviews, architectural discussions, and hands-on guidance when needed
• Ensure high standards of engineering quality using modern practices: CI/CD, automated testing, observability, secure coding
• Lead and continuously improve engineering execution across teams by applying Agile and iterative delivery principles, strengthening flow, predictability, and quality through data‑driven improvement and removal of systemic impediments
• Lead and drive practical adoption of AI-assisted engineering workflows across teams
• Contribute to or guide in the development of AI-enabled Manufacturing capabilities
• Work closely with Product Management, Architecture, and Manufacturing domain experts to turn business needs into scalable solutions
• Manufacturing Domain Focus
• Strong domain leadership across Manufacturing areas including (depth expected in at least one, with working knowledge across others):
• End-to-end Manufacturing lifecycle (Plan, Build, Quality, Maintain)
• Regulatory and industry-specific requirements
• Large-scale, multi-tenant, configurable Manufacturing solutions
• Ability to align Manufacturing domain strategy with platform, data, and integration capabilities
• AI Expectations
• AI is expected to be embedded, responsible, and outcome driven .
• You are expected to:
• Use AI-assisted development tools in your own work
• Enable teams to use AI to improve delivery speed, quality, and confidence
• Support the development and validation of AI-powered Manufacturing features where applicable
• Understand relevant AI integration patterns (e.g., RAG-based features, agent-assisted workflows, evaluation practices) at a level appropriate to your scope
• This role requires AI fluency and sound engineering judgment.
• Required Background
• Strong foundation in software engineering and enterprise application development
• Demonstrated experience leading and developing engineers
• Hands‑on familiarity with modern architectures, including cloud‑native services, APIs, CI/CD, and automated testing
• Ability to read, review, and reason about production code, operating comfortably at both code‑level and system‑level design
• Experience working closely with Product Management and business stakeholders
• Strong communication, coaching, and decision-making skills
• Preferred Experience
• Manufacturing, ERP, or industrial enterprise software
• Large-scale, configurable, multi-tenant products
• AI-enabled features in enterprise software
• Customer-facing technical discussions in enterprise environments

Requirements

• You balance technical depth with people leadership
• You lead with context and trust , not control
• You care deeply about quality, maintainability, and customer impact
• You see AI as a practical accelerator , not a buzzword
• You optimize for long-term sustainable delivery
• You grow impact by enabling others

Additional Information

We are looking for an Engineering Leader to drive the operation of Manufacturing Product Development organization at IFS. This role combines strong people leadership, solid technical judgment, and deep collaboration with Product and Manufacturing domain stakeholders to deliver enterprise-grade solutions at scale. This is a leadership role with hands-on technical expectations , appropriate to experience. You will lead one or more engineering teams, with scope aligned to your experience, demonstrated impact, and business needs. Regardless of scope, this is not a people-only management role - technical credibility and product understanding are essential. AI is a core enabler in this role. You are expected to treat AI as a practical part of modern software delivery and product capability , helping teams use AI to improve engineering productivity and to deliver Manufacturing features that create real customer value.

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Company Intel

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