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Team Lead, Software Engineer – AI; GenAI

Job in Toronto, Ontario, C6A, Canada
Listing for: Seequent Limited
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, DevOps, Software Project Mgr/ Lead
Job Description & How to Apply Below
Position: 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.
Responsibilities   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

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   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
Additional Information  Office-based working environment; work from our Toronto office two or more days per week.
Our Commitment to Equity, Diversity, and Inclusion  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.

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