Team Lead, Software Engineer – AI; GenAI

Overview

Team Lead, Software Engineer – AI (GenAI)

At Seequent, we help organisations understand the underground, enabling better decisions. We build world‑leading technology in Earth sciences, supporting sustainable mineral resource development, infrastructure design, renewable energy, and environmental impact reduction. We operate in 145+ countries with headquarters in New Zealand.

Role summary

As Seequent scales its AI capability within Seequent Evo—our geoscience data platform—we are seeking a Team Lead to lead an AI engineering team. This role combines deep technical expertise in Generative AI with people leadership, shaping GenAI capabilities designed, built, and embedded into the platform  will lead a team delivering applied GenAI solutions that surface insights from complex subsurface data, simplify workflows, and support informed decision making, while also building the team, establishing best practices, and driving engineering excellence.

• Lead and grow a high‑performing AI engineering team
• Provide technical and operational leadership to a team of engineers, fostering a collaborative culture
• Coach and mentor team members, supporting their development and performance
• Allocate work effectively across the team, aligning skills with priorities and outcomes
• Contribute to hiring and scaling the AI capability

• Own technical direction and solution design
• Lead the design and architecture of complex GenAI systems, ensuring alignment with engineering standards
• Guide the team in applying modeling techniques and modern AI patterns
• Evaluate design trade-offs, drive decisions, and ensure solutions meet functional and non‑functional requirements (including security)
• Lead design and code reviews to ensure quality and consistency

• Deliver impactful GenAI solutions
• Oversee the build, test, deployment, and ongoing operation of production-grade GenAI systems
• Support the development of solutions such as Retrieval-Augmented Generation (RAG), semantic search and vector-based retrieval
• Enable agent-based and service-oriented architectures (e.g., MCP, A2A)
• Ensure systems are scalable, reliable, secure, and maintainable

• Drive delivery and project outcomes
• Take responsibility for end‑to‑end delivery of medium-scale initiatives
• Manage scope, risks, timelines, and stakeholder alignment
• Collaborate with Product and Design to deliver meaningful customer outcomes
• Lead release planning, quality reviews, and post-release retrospectives
• Promote best practices in software development, Dev Ops, and security
• Improve processes, tooling, and standards across the team
• Ensure adherence to CI/CD, testing, and governance practices

• Bachelor’s degree in Computer Science, Engineering, or equivalent
• 7+ years experience in software engineering, including senior-level experience
• Experience leading a team (formal or informal leadership)
• Hands-on experience building and operating GenAI/LLM-powered systems in production

• Generative AI and LLM-based applications
• RAG systems, semantic search, and vector databases
• Agent-based architectures and protocols (e.g., MCP, A2A or similar)
• Cloud-native development and microservices (Docker, Kubernetes, APIs such as FastAPI)
• CI/CD pipelines and Dev Ops practices
• Strong stakeholder management and communication skills
• Ability to balance hands-on technical contributions with leadership responsibilities
• Experience coaching and mentoring engineers
• Proven ability to drive decisions, influence outcomes, and deliver results

Office-based working environment; work from our Toronto office two or more days per week.

We champion the uniqueness of every individual. Our commitment to inclusiveness, equity, and accessibility is fundamental. If you require accommodation during our recruitment process, please let our Talent Acquisition team know. We are committed to hiring a diverse team and encourage individuals of all backgrounds and abilities to apply.

We encourage applicants from all backgrounds and abilities to apply. We are dedicated to fair opportunity for all.