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Principal Applied AI/ML Engineer
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Autodesk
Romeoville, IL (In Person)
$161,200 Salary, Full-Time
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Job Description
Job Requisition ID #26WD99166Position OverviewWe are hiring a Principal Applied AI/ML Engineer to lead the design and delivery of high-impact AI systems for Construction AI group, for product, platform, and services for all of Autodesk's Forma Construction Cloud. This is a senior technical leadership role for someone who is exceptionally self-directed, highly credible across disciplines, and able to turn ambiguous opportunities into durable technical outcomes.
This person will operate as a hands-on technical leader across applied AI, software engineering, cloud infrastructure, data systems, and delivery execution. They should be capable of going deep on architecture and implementation when needed, but their real leverage comes from defining direction, solving the hardest cross-functional problems, and raising the effectiveness of the broader team.
This role requires a generalist mindset. The right candidate is comfortable moving across AI systems, backend services, AWS infrastructure, administration and optimization, database modeling and performance, cross-regional infrastructure, quality and QA practices, and project planning/tracking. They are not limited by rigid functional boundaries and are willing to step into whatever the team most needs to succeed.
The role is based in Canada and will work closely across multiple time zones, especially with teams in India. Exceptional written and verbal communication is essential.
ResponsibilitesLead the architecture, design, and evolution of production-grade applied AI systems, including LLM, ML, retrieval, agentic, and automation-based capabilitiesOwn the most complex technical problems across the stack, from model behavior and system design through infrastructure, reliability, quality, and operational scaleSet technical direction for how AI solutions are built, integrated, evaluated, secured, monitored, and improved over timeDrive platform and systems decisions across AWS environments, including performance, resilience, observability, security, and cost optimizationShape the design and optimization of data systems, including relational and graph databases, data access patterns, schema strategy, and query performanceLead infrastructure thinking for distributed and cross-regional services where availability, latency, failover, or scale require stronger architectural rigorEstablish stronger engineering quality practices, including validation frameworks, automated testing, release discipline, QA strategy, and incident response maturityTranslate ambiguous business or product opportunities into technical strategy, execution plans, and measurable outcomesPartner across engineering, product, data science, analytics, and business stakeholders to align priorities and drive decisions without requiring formal authorityProvide technical leadership across a team of roughly 20 people by mentoring engineers, reviewing designs, clarifying tradeoffs, and raising the bar for executionCreate structure in ambiguous environments by defining milestones, surfacing risks, tracking dependencies, and ensuring follow-through across distributed teams Minimum Qualification Deep experience building and scaling production software systems with meaningful AI/ML componentsPython mastery and fluent with latest AI/ML research and implementations/patternsProven success leading architecture and delivery for complex, cross-functional technical initiativesStrong hands-on engineering ability in backend systems, APIs, services, data pipelines, and production operationsSignificant experience with AWS administration and optimization, including cloud architecture, observability, security, reliability, and cost/performance tradeoffsStrong understanding of database systems design and optimization, especially relational systems, with graph database experience strongly preferredAbility to work effectively as a technical generalist across adjacent areas including DevOps, infrastructure engineering, quality/QA, and delivery planningExcellent judgment in ambiguous situations, including the ability to simplify, prioritize, and make sound tradeoff decisionsOutstanding written communication, including architecture docs, technical strategy memos, design reviews, decision records, and async execution updatesOutstanding verbal communication, with the ability to influence both technical and non-technical stakeholdersDemonstrated success collaborating across geographies, functions, and time zonesLearn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparencySalary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $131,000 and $191,400. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
BelongingWe take pride in cultivating a culture of belonging where everyone can thrive.
This person will operate as a hands-on technical leader across applied AI, software engineering, cloud infrastructure, data systems, and delivery execution. They should be capable of going deep on architecture and implementation when needed, but their real leverage comes from defining direction, solving the hardest cross-functional problems, and raising the effectiveness of the broader team.
This role requires a generalist mindset. The right candidate is comfortable moving across AI systems, backend services, AWS infrastructure, administration and optimization, database modeling and performance, cross-regional infrastructure, quality and QA practices, and project planning/tracking. They are not limited by rigid functional boundaries and are willing to step into whatever the team most needs to succeed.
The role is based in Canada and will work closely across multiple time zones, especially with teams in India. Exceptional written and verbal communication is essential.
ResponsibilitesLead the architecture, design, and evolution of production-grade applied AI systems, including LLM, ML, retrieval, agentic, and automation-based capabilitiesOwn the most complex technical problems across the stack, from model behavior and system design through infrastructure, reliability, quality, and operational scaleSet technical direction for how AI solutions are built, integrated, evaluated, secured, monitored, and improved over timeDrive platform and systems decisions across AWS environments, including performance, resilience, observability, security, and cost optimizationShape the design and optimization of data systems, including relational and graph databases, data access patterns, schema strategy, and query performanceLead infrastructure thinking for distributed and cross-regional services where availability, latency, failover, or scale require stronger architectural rigorEstablish stronger engineering quality practices, including validation frameworks, automated testing, release discipline, QA strategy, and incident response maturityTranslate ambiguous business or product opportunities into technical strategy, execution plans, and measurable outcomesPartner across engineering, product, data science, analytics, and business stakeholders to align priorities and drive decisions without requiring formal authorityProvide technical leadership across a team of roughly 20 people by mentoring engineers, reviewing designs, clarifying tradeoffs, and raising the bar for executionCreate structure in ambiguous environments by defining milestones, surfacing risks, tracking dependencies, and ensuring follow-through across distributed teams Minimum Qualification Deep experience building and scaling production software systems with meaningful AI/ML componentsPython mastery and fluent with latest AI/ML research and implementations/patternsProven success leading architecture and delivery for complex, cross-functional technical initiativesStrong hands-on engineering ability in backend systems, APIs, services, data pipelines, and production operationsSignificant experience with AWS administration and optimization, including cloud architecture, observability, security, reliability, and cost/performance tradeoffsStrong understanding of database systems design and optimization, especially relational systems, with graph database experience strongly preferredAbility to work effectively as a technical generalist across adjacent areas including DevOps, infrastructure engineering, quality/QA, and delivery planningExcellent judgment in ambiguous situations, including the ability to simplify, prioritize, and make sound tradeoff decisionsOutstanding written communication, including architecture docs, technical strategy memos, design reviews, decision records, and async execution updatesOutstanding verbal communication, with the ability to influence both technical and non-technical stakeholdersDemonstrated success collaborating across geographies, functions, and time zonesLearn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparencySalary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $131,000 and $191,400. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
BelongingWe take pride in cultivating a culture of belonging where everyone can thrive.