Principal Applied AI/ML Engineer

Autodesk

Principal Applied AI/ML Engineer designing and delivering high-impact AI systems for Autodesk's Forma Construction Cloud. Collaborating across teams to tackle complex technical challenges.

Posted 6/10/2026full-timeRemote • 🇨🇦 CanadaLead💰 CA$131,000 - CA$191,400 per yearWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI systemsML componentsPythonbackend systemsAPIsdata pipelinesAWS administrationdatabase systems designrelational databasesgraph databases

Soft Skills

technical leadershipmentoringjudgment in ambiguous situationsprioritizationtradeoff decisionswritten communicationverbal communicationcollaborationinfluenceexecution planning

Tools & Technologies

AWScloud architectureobservability toolssecurity toolsreliability toolscost optimization toolsvalidation frameworksautomated testing toolsincident response toolsdistributed systems

Industry Keywords

production software systemsarchitecturecross-functional initiativesengineering quality practicesdata access patternsschema strategyoperational scaletechnical generalistDevOpscross-regional services

Tech Stack

Tools & technologies

AWSCloudPython

About the role

Key responsibilities & impact

Lead the architecture, design, and evolution of production-grade applied AI systems, including LLM, ML, retrieval, agentic, and automation-based capabilities
Own the most complex technical problems across the stack, from model behavior and system design through infrastructure, reliability, quality, and operational scale
Set technical direction for how AI solutions are built, integrated, evaluated, secured, monitored, and improved over time
Drive platform and systems decisions across AWS environments, including performance, resilience, observability, security, and cost optimization
Shape the design and optimization of data systems, including relational and graph databases, data access patterns, schema strategy, and query performance
Lead infrastructure thinking for distributed and cross-regional services where availability, latency, failover, or scale require stronger architectural rigor
Establish stronger engineering quality practices, including validation frameworks, automated testing, release discipline, QA strategy, and incident response maturity
Translate ambiguous business or product opportunities into technical strategy, execution plans, and measurable outcomes
Partner across engineering, product, data science, analytics, and business stakeholders to align priorities and drive decisions without requiring formal authority
Provide technical leadership across a team of roughly 20 people by mentoring engineers, reviewing designs, clarifying tradeoffs, and raising the bar for execution
Create structure in ambiguous environments by defining milestones, surfacing risks, tracking dependencies, and ensuring follow-through across distributed teams

Requirements

What you’ll need

Deep experience building and scaling production software systems with meaningful AI/ML components
Python mastery and fluent with latest AI/ML research and implementations/patterns
Proven success leading architecture and delivery for complex, cross-functional technical initiatives
Strong hands-on engineering ability in backend systems, APIs, services, data pipelines, and production operations
Significant experience with AWS administration and optimization, including cloud architecture, observability, security, reliability, and cost/performance tradeoffs
Strong understanding of database systems design and optimization, especially relational systems, with graph database experience strongly preferred
Ability to work effectively as a technical generalist across adjacent areas including DevOps, infrastructure engineering, quality/QA, and delivery planning
Excellent judgment in ambiguous situations, including the ability to simplify, prioritize, and make sound tradeoff decisions
Outstanding written communication, including architecture docs, technical strategy memos, design reviews, decision records, and async execution updates
Outstanding verbal communication, with the ability to influence both technical and non-technical stakeholders
Demonstrated success collaborating across geographies, functions, and time zones.

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development
Bonuses
Stock grants