Determined, imaginative, curious-if these are some of the ways you describe yourself, we want to learn more about you!
The OpportunityTC Energy is scaling Artificial Intelligence from experimentation to enterprise adoption. We're hiring a Senior AI/ML Developer to help Information Services evaluate, shape, and enable the use of new AI technologies, tools, platforms, and standards. This is a senior technical enablement and solution-guidance role. You will help define how AI solutions should be designed, built, evaluated, governed, and adopted across IS, while supporting delivery teams with credible technical direction and hands-on expertise when needed.
You'll work at the intersection of emerging AI technology, enterprise standards, and practical delivery. The role supports IS by assessing fit-for-purpose AI approaches, defining reusable patterns, helping establish development and evaluation standards, and guiding teams through responsible use of GenAI, agentic AI, machine learning, and automation capabilities.
What You'll Do- Enable emerging AI capabilities across IS - assess new AI/ML, GenAI, agentic-AI, and automation technologies and translate them into practical guidance, patterns, and adoption recommendations
- Define technical standards and patterns - contribute to reusable architectures, coding standards, evaluation approaches, guardrails, and implementation practices for AI-enabled solutions
- Guide AI solution delivery - support IS teams and partners with technical direction from discovery through implementation, ensuring solutions are fit-for-purpose, secure, scalable, and aligned to enterprise standards
- Provide senior technical judgment - evaluate design options, advise on model/tool selection, review solution quality, and help teams make informed architectural and implementation decisions
- Embed responsible-AI practices - partner with architecture, cybersecurity, privacy, risk, and governance teams to ensure AI solutions are designed with appropriate controls for privacy, data protection, bias, hallucination, and model risk
- Support evaluation and lifecycle standards - define approaches for testing, measurement, observability, model evaluation, and continuous improvement without acting as the day-to-day production operations owner
- Share knowledge and accelerate adoption - create reusable guidance, templates, learnings, and enablement materials that help IS teams responsibly adopt AI technologies and tools
- Provide technical leadership and guidance across cloud, AI, and application platforms, evaluating solutions, influencing technology decisions, and ensuring alignment between business objectives and technical outcomes
- Utilize AWS cloud and AI services, including Bedrock, AgentCore, Bedrock Agents, Lambda, Step Functions, API Gateway, SageMaker, ECS, IAM, and CloudWatch, to support and enhance business solutions
- Apply agentic AI and Generative AI frameworks to design, develop, and support production-ready AI solutions, leveraging agent architecture patterns, prompt engineering, model evaluation techniques, LLM capabilities and limitations, and MCP server development and hosting
- Design and support data and knowledge architectures leveraging relational, graph, NoSQL, and vector databases, while enabling AI-powered solutions through retrieval-augmented generation (RAG), enterprise knowledge management, embeddings, re-ranking, and data retrieval strategies
- Develop and deploy AI and machine learning solutions using modern development and MLOps practices, including Python, API development, testing, CI/CD, workflow orchestration, monitoring, observability, and AI-assisted development tools; exposure to Microsoft technologies such as Copilot, Copilot Studio, Power Platform, Fabric, and Purview is an asset
Required Qualifications- University degree in Computer Science, Software/Data Engineering, or a related discipline
- 4+ years of relevant experience
- A combination of education and experience may be considered
Preferred Qualifications- Proven track record directing or overseeing the delivery of AI or software solutions internally and/or through partners and vendors
- Strong technical foundation in cloud AI concepts and Python sufficient to guide, evaluate, and make credible technical decisions
- Working knowledge of Generative AI, LLMs, prompt engineering, and RAG architectures
- Ability to work independently on complex problems, with decision-making authority within the role's scope
- Experience coordinating technical delivery across internal teams and external partners/vendors
- Familiarity with agentic frameworks (LangChain, LangGraph, Strands) and agent platforms (AgentCore, Bedrock Agents)
- Working hands on experience with MLOps / LLMOps including pipelines, model monitoring, drift detection, evaluation
- Familiarity with Microsoft Fabric, Purview, Copilot Studio, and Power Platform
- Experience embedding responsible AI controls and partnering with governance/security in a regulated industry
- Experience mentoring developers and leading technical workstreams
To remain competitive, support our high-performance culture and allow for more flexibility in the way we work, we offer a hybrid work model and flexible dress code for our eligible office-based workforce in Canada, the U.S. and Mexico.
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