Principal Software Engineer - AI Czar

Acacia Business Unit AI Strategy Leader

Acacia designs intelligent optical interconnect products using advanced signal processing and photonic integration for 100G, 400G, 1T, and beyond. Our technologies are deployed across data center, metro, long-haul, and ultra-long-haul optical networks, helping enable the next generation of high-speed communications.

At Acacia, you'll work alongside experts across DSP, ASIC, optics, photonics, software, hardware, systems, and application engineering in a collaborative environment passionate about innovation, technical excellence, and customer success.

We are looking for a strong leader to drive AI strategy and execution across the Acacia Business Units. This role will serve as the central point of coordination for AI initiatives within Acacia and work across cross-functional teams inside the BU to identify, prioritize, and implement high-value AI opportunities and implementing proper end-to-end workflows.

This role is focused solely on Acacia BU and will help teams across engineering organization, product, support, and other internal partner functions improve workflows, increase efficiency, and accelerate business outcomes through AI. The ideal candidate brings both strategic vision and practical execution experience, with the ability to translate fast-evolving AI trends into meaningful results for the business.

Key Responsibilities

• Define and drive the AI strategy, roadmap, and priorities for Acacia BU
• Identify and prioritize AI use cases across functions within the business unit
• Partner with cross-functional teams to improve workflows and enable better business outcomes through AI
• Coordinate AI efforts across Acacia to improve alignment, reduce duplication, and increase scale
• Evaluate emerging AI trends and technologies for relevance to Acacia's business needs
• Lead AI initiatives from concept through pilot, implementation, and adoption
• Track progress, outcomes, and business value of AI initiatives
• Provide clear updates, recommendations, and prioritization guidance
• Help establish consistent practices for AI adoption and execution within the BU

What Success Looks Like

• Clear and actionable AI strategy for Acacia BU
• Greater AI adoption across teams within the business unit
• Improved workflows and measurable efficiency gains
• Better coordination of AI efforts across cross-functional groups
• Delivery of practical AI solutions aligned to Acacia business priorities

Minimum Qualifications

• Bachelors + 15 years of related experience, or Masters + 12 years of related experience, or PhD + 8 years of related experience, or equivalent related work experience
• Experience leading AI, automation, advanced analytics, or digital transformation initiatives
• Experience with generative AI, workflow automation, and AI-enabled productivity tools, RAG, Agent, and Skill creations
• Experience working across business and technical teams
• Experience driving cross-functional programs from strategy through execution
• Experience with current AI trends and their practical application in business environments

Preferred Qualifications

• Experience with CI/CD workflow.
• Experience identifying and scaling high-impact use cases
• Experience presenting technical and non-technical content to cross-functional teams and executives.
• Experience balancing innovation with execution and measurable outcomes