Posted 29 June, 2026
Team Lead, Software Engineer - AI (GenAI)
Seequent
Christchurch,NZ
Full Time
Reference: 7_569758_4302
About the Role
As we continue to scale our AI capability within Seequent Evo - our geoscience data platform used by earth scientists and engineers globally, we're looking for a Team Lead to lead an AI engineering team.
This is a unique opportunity to combine deep technical expertise in Generative AI with people leadership, shaping how GenAI capabilities are designed, built, and embedded into the platform at scale.
You'll lead a team delivering applied GenAI solutions that enable customers to surface insights from complex subsurface data, simplify workflows, and make more informed decisions. At the same time, you'll play a critical role in building the team, establishing best practices, and driving engineering excellence.
What You'll Do
Lead and grow a high-performing AI engineering team
- Provide technical and operational leadership to a team of engineers, fostering a strong, 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 appropriate modelling 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.
- 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 closely with Product and Design to deliver meaningful customer outcomes.
- Lead release planning, quality reviews, and post-release retrospectives.
Champion engineering excellence
- Promote best practices in software development, DevOps, and security.
- Improve processes, tooling, and standards across the team.
- Ensure adherence to CI/CD, testing, and governance practices.
What You'll Bring
- 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.
Technical expertise in:
- 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 DevOps practices
Leadership & collaboration:
- 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.
Additional Information
Office-based working environment, work from our Toronto office two or more days per week.
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