Senior AI Architect
AltaML is an applied artificial intelligence company, building and deploying solutions for organizations where the problems are real and the stakes are high, across public sector, construction, energy, and finance.
We believe in making small bets, failing fast, and being better together. We are on the lookout for creative problem-solvers, out-of-the-box thinkers who strive to solve big problems alongside clients, and early tech adopters driven to achieve success.
We don't hire for fit; we hire to add. We are looking for people who play by 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!
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
Skills
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