Director - Software Engineering

Overview:

As Director - Software Engineering at Inception42, you will lead multidisciplinary engineering teams responsible for building and operating production AI products and platforms. You will set technical direction, strengthen engineering execution, and ensure that software, data, and machine learning systems are reliable, secure, and scalable. The role operates across product delivery, architecture, quality, DevSecOps, and applied R&D in a high-ownership environment focused on real-world deployment.

Responsibilities:

• Set engineering direction and execution priorities in line with Inception42’s product, technology, and business objectives.
• Lead, develop, and support engineering managers and senior technical leaders across multidisciplinary teams.
• Build an engineering culture grounded in ownership, technical rigor, collaboration, and continuous improvement.
• Drive planning and delivery across complex engineering initiatives, making clear trade-offs across scope, time, resourcing, cost, and quality.
• Guide architecture and technical decisions across software platforms, data infrastructure, machine learning pipelines, and model deployment systems.
• Improve the scalability, reliability, performance, and operability of production data and ML systems.Establish engineering standards for data management, MLOps, testing, release quality, observability, and operational readiness.
• Embed security and compliance into the software development lifecycle through practical DevSecOps controls and automation.
• Sponsor focused R&D initiatives, evaluate emerging technologies, and move credible experiments into production capabilities.
• Collaborate closely with Product, Data, AI/ML, Security, and Enterprise Architecture to align technical execution with customer and business outcomes.
• Create clear operating mechanisms for delivery health, technical risk, engineering quality, and team effectiveness.
• Communicate engineering strategy, progress, trade-offs, and outcomes clearly to technical and executive stakeholders.

Qualifications:

• Strong engineering fundamentals and a demonstrated track record of leading diverse engineering teams
  through complex delivery.
• Experience shipping and operating production software, data, or machine learning systems at meaningful
  scale.
• Deep understanding of data infrastructure, MLOps, quality engineering, DevSecOps, and the software
  development lifecycle.
• Ability to translate company objectives into technical strategy, operating plans, architecture priorities, and
  measurable outcomes.
• Sound systems thinking and judgment across reliability, security, performance, cost, and delivery speed.
• Strong communication skills, with the ability to align technical teams and explain decisions to senior
  stakeholders.
• Comfort operating in ambiguity, resolving competing priorities, and taking accountability for execution.
• Bachelor’s degree in Engineering, Computer Science, or equivalent practical experience.

Nice to Have

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• Experience with regulated, multi-tenant, high-availability, or national-scale platforms.
• Exposure to applied AI products, research collaborations, or production model-serving environments.
• Experience leading platform modernization, organizational scaling, or engineering operating-model changes.
  Inception42 is building AI systems designed for practical deployment at scale — across industries,
  infrastructure, and national-level initiatives.
  If you want to work close to both advanced AI capability and real-world execution, we’d like to hear from
  you.