Senior AI Architect

Posted 9 Days Ago
Be an Early Applicant
3 Locations
Hybrid
130K-160K Annually
Senior level
Artificial Intelligence • Machine Learning • Software
The Role
Lead discovery and design of agentic AI solutions, translate business problems into production-grade architectures, deploy and scale systems on AltaForge, define evaluation standards, ensure secure and auditable workflows, and support account growth and measurable ROI.
Summary Generated by Built In
About Us:
AltaML is a leading North American applied AI company with extensive experience in building and operationalizing AI software solutions.

We are a company like no other – we believe in making small bets, failing fast, and being better together. We are looking for creative problem-solvers who obsess about the customer to find wins across different industries.

We don’t hire for fit; we hire to add. We are looking for people who play our core values of being: Agile, Gritty Humble, and Happy. If you’re passionate about AI/ML, thrive in a dynamic environment, and want to work with a diverse team of wickedly smart people, we want to hear from you!

About the Role
This opportunity is open for candidates located in Calgary, Edmonton, or Toronto.

As a Senior AI Architect, you are a principal-level technical and strategic leader responsible for designing, deploying, and scaling agentic AI solutions in production environments.
 
You will move clients from idea → prototype → production → measurable value.
 
This is a hybrid technical and commercial role. You are accountable for architecting sound, secure, and scalable agentic systems — while ensuring they deliver adoption, ROI, and lifecycle growth.
 
You will partner closely with industry vertical leaders, engineering teams, and executive stakeholders.

What You'll Do

  • Lead discovery with senior stakeholders to identify high-impact agentic use cases
  • Translate complex business problems into production-ready AI system designs
  • Architect secure, auditable agentic workflows (reasoning, tool use, data access, evaluation)
  • Drive solutions from prototype to AltaForge production deployment (our internal agentic platform)
  • Ensure all solutions align with AltaForge architecture for reusability and scale
  • Define and enforce evaluation standards to measure outcomes and value creation
  • Support account growth by ensuring successful delivery and lifecycle value realization

What Success Looks Like

  • 6–8 production deployments per year
  • Strong time-to-value from concept to go-live
  • High client satisfaction and measurable business impact
  • High-quality evaluation datasets tied to real outcomes
  • Contribution to recurring and licensing revenue growth

What You Bring

  • 8+ years in AI/ML, architecture, or technical strategy roles
  • Deep experience with agentic AI, RAG systems, orchestration, and tool integration
  • Experience supporting the deployment of AI systems into enterprise or regulated environments
  • Strong systems thinking and architectural judgment
  • Executive presence and ability to operate across technical and commercial domains
  • Bias toward production, accountability, and measurable outcomes

Responsible AI (RAI)
AltaML employees, contractors, and associates must be trained and well-versed in the importance of Responsible AI and empowered to enact RAI principles by developing and deploying AI solutions. They should also be empowered to raise and escalate RAI concerns as required.

AltaML is responsible for elevating public discourse and awareness of AI through open, transparent communications with the broader public.

Equal Opportunities
AltaML is dedicated to fostering a safe, diverse, and inclusive workplace as an equal-opportunity employer. We welcome applications from qualified individuals of all backgrounds, encompassing ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and educational backgrounds. If you are invited for an interview and require accommodations during the interview process, please don’t hesitate to let us know.

AltaML acknowledges that its head office is located on Treaty 6 territory, and respects the histories, languages, and cultures of First Nations, Métis, Inuit, and all First Peoples of Canada, whose presence continues to enrich our vibrant community.

We Look for A-Players Who:
- Express our core values
- Are hungry for knowledge
- Want to learn new skills
- Are respectful
- Collaborate with others across the whole company
- Share knowledge with coworkers
- Educate and promote AI and ML concepts both internally and externally
- Have a high work ethic and are self-motivated


Our Perks:
🌴Uncapped Vacation - For all full time, permanent employees. Seriously, take the time you need - when you need it.
🚀Make an Impact - Witness the impact your work contribution has on the success of our company.
👩🏿‍💻Working with PhD and Master Level Colleagues - Endless conversations around the latest in Machine Learning and Applied AI.
🩺Competitive Benefits - For all full time, permanent employees.
🏢 Office as a Resource -  Hybrid work environment with state-of-the-art office spaces that ignite collaboration.
Big Slack Energy - IYKYK.


Our Culture:
You will be working in a high-paced environment focused on creating unique ML solutions to problems across multiple industries to generate impactful value. You will be working at a company with employees who have multiple years of industrial and academic experience in data science, software engineering, product development, and machine learning fields.
 
You will be able to experience a collaborative company culture, which means we believe in working hard, getting the job done, and enjoying the group social on Fridays. You’ll also get flexibility in where you work, what hours you work, how much vacation you take, and what you wear. We expect hard work but respect work/life balance.


Core Values:
At AltaML, we are driven by our core values. We believe that by embodying these values in everything we do, we will exceed our customer’s expectations while creating a positive and empowering work environment for our team members. We are dedicated to living our values and strive to make them the foundation for our success. 

Gritty - We are entrepreneurial, determined, and resilient, pushing through challenges to achieve our goals.

Agile - We make decisions based on “little bets” creating a safe space to take risks. We embrace an interactive process, allowing ideas to fail quickly or be scaled iteratively. Together, we continuously refine and improve our approach to reach the desired outcome. 

Humble - We listen to data, embrace new ideas, admit limitations and take ownership to solve problems. We constantly push ourselves to improve and excel.  

Happy - We ignite passion and purpose by fostering a dynamic work environment. We encourage tap dancing to work, common sense over rules, empowering team members to find joy in their contributions, and being your authentic self.

Skills Required

  • 8+ years in AI/ML, architecture, or technical strategy roles
  • Deep experience with agentic AI, RAG systems, orchestration, and tool integration
  • Experience deploying AI systems into enterprise or regulated environments
  • Strong systems thinking and architectural judgment
  • Executive presence and ability to operate across technical and commercial domains
  • Bias toward production, accountability, and measurable outcomes
  • Knowledge of Responsible AI principles and ability to raise/escalate RAI concerns
  • Proven track record moving solutions from prototype to production with measurable business impact
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The Company
HQ: Edmonton, Alberta
107 Employees
Year Founded: 2018

What We Do

AltaML is a leading developer of AI-powered solutions. Working with organizations that want to leverage their data using artificial intelligence (AI), AltaML develops solutions that create operational efficiency, reduce risk, and generate new sources of revenue. Through a deep understanding of organizational pain points and challenges, AltaML develops solutions that encompass the entire machine learning (ML) life cycle, from evaluating potential use cases and determining feasibility, to piloting solutions, putting code into production, and ensuring models evolve over time.

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