Technical Product Owner & AI Engineer

Intermediate Technical Product Owner & AI Engineer

Location: On site (Rosebank)

Employment Type: Full time

Experience Level: Intermediate (3 6 years)

Department: AI Delivery Team

We're looking for an Intermediate Technical Product Owner & AI Engineer who works at the intersection of product strategy, hands on engineering, and applied AI - and who understands that most of the value gets created before any code exists.

This role is for someone who doesn't just design solutions on a whiteboard - you define the problem space, hunt for the unlock nobody else has seen, design reusable solutions, and orchestrate AI agent teams to execute at scale. You'll own product outcomes end to end while actively building, prototyping, and evolving intelligent systems that solve real business problems.

You'll work closely with engineers, designers, stakeholders, and clients to translate ambiguous, messy, real world problems into clear product direction and production ready AI solutions. You won't wait for a well scoped ticket. You'll walk into ambiguity and create structure through clear thinking and action.

• Own and drive product outcomes from discovery through to delivery
• Define problem spaces - understand client needs, map domains, identify constraints, and figure out where the real problems are hiding
• Translate business and user needs into clear technical requirements and product backlogs
• Define product roadmaps, success metrics, and delivery priorities
• Facilitate refinement sessions, planning, and stakeholder alignment
• Make pragmatic trade offs between scope, quality, time, and technical complexity
• Act as the bridge between engineering, business, and AI capabilities - earning trust in client meetings and translating complex technical possibilities into business language

• Design, build, and maintain agentic AI systems (multi step reasoning, tool use, orchestration, memory, autonomy)
• Orchestrate purpose built agent teams - design how agents coordinate, what information flows where, and how parallel workstreams converge into coherent output
• Design reusable solution patterns - recipes and mapping functions that apply repeatedly within and across problem spaces
• Write clean, production quality code to implement AI driven features
• Build prototypes and proof of concepts quickly, then harden them for production
• Integrate LLMs, APIs, vector databases, tools, and external systems
• Implement evaluation, monitoring, and iteration strategies for AI systems
• Stay current with emerging AI patterns, frameworks, and best practices - our methods evolve fast, and you'll help shape them

• Work closely with engineers to shape architecture and implementation decisions
• Review code and technical designs with a product focused mindset
• Balance innovation with maintainability, scalability, and security
• Advocate for responsible, ethical, and user centred AI usage
• Iterate on plans and ideas in the abstract before dropping into execution - challenge your own framing, stress test approaches, ask better questions

• 3 6 years experience across product ownership, engineering, or technical delivery
• Proven experience owning or co owning product outcomes
• Strong hands on software development experience - you've built systems that solve real problems, not tutorial projects

• Strong programming fundamentals (Python or similar preferred, but demonstrated problem solving in any modern language)
• Experience building with LLMs and agentic frameworks (e.g. LangChain, LangGraph, CrewAI, AutoGen, custom agent architectures)
• Experience designing workflows involving:Tool calling and orchestration
• Memory and context management
• Multi agent or multi step reasoning

• Comfortable with APIs, cloud services, and modern application architectures
• Understanding of software quality, testing, and production readiness
• AI tooling, agentic workflows, and orchestration patterns are a strong plus - but developable if your foundation and drive are right. We coach the specifics.

• First principles problem solving - you define the real problem, not the surface symptom
• Comfortable working in ambiguity and evolving requirements - that's where the value is, not a reason to wait
• Ability to explain complex technical concepts to non technical stakeholders - in business terms, not jargon
• Outcome driven mindset - focused on value and impact, not tools and frameworks
• Thinks in reusable patterns - not just solving this problem, but the class of problems it belongs to
• Questions the question before answering it

• Engineering background from any discipline - mechanical, civil, electrical, industrial, chemical. Engineering teaches you how to think: systems, first principles, constraints, trade offs, decomposition
• Experience in industries where things get built physically: construction, mining, manufacturing, energy, infrastructure - real constraints, real coordination, real consequences
• Exposure to data engineering and ML pipelines, DL environments, including model development workflows and basic MLOps practices (e.g. training, evaluation, and deployment)
• Consulting or client facing delivery experience
• Has worked across multiple industries or domains - the scenic route is a feature
• Experience with UX research or discovery practices
• Familiarity with compliance, privacy, or responsible AI principles

• You define the real problem before jumping to solutions - and you question the question before answering it
• You are biased toward action, experimentation, and learning - fast. You treat decisions as experiments, not commitments
• You're comfortable wearing multiple hats and switching contexts
• You push back on bad ideas - including ours. You challenge assumptions and don't fold when someone says no
• You collaborate deeply but can drive independently when needed
• You care about building useful, well crafted products that create real value - not impressive sounding work that goes nowhere
• You're curious, pragmatic, and hungry to learn. You figured things out by doing, not by completing courses

• Work on meaningful, real world AI products - not demos
• A high trust environment with autonomy and ownership
• Exposure to cutting edge AI work while solving practical business problems
• Collaborative, people first culture
• Opportunity to shape how we build and deliver AI powered products
• We're a software engineering firm becoming an AI company in real time. We need someone who wants to be in the room where that happens.