
Principal Applied AI/ML Engineer
Role summary
Autodesk is seeking a Principal Applied AI/ML Engineer to lead the design and delivery of AI systems for their Forma Construction Cloud. This senior technical leadership role requires a hands-on generalist comfortable across AI systems, software engineering, cloud infrastructure, and data systems. Responsibilities include architecting production-grade AI systems (LLM, ML, agentic), owning complex technical problems, setting technical direction, driving AWS platform decisions, optimizing data systems, and establishing engineering quality practices. The role involves translating ambiguous opportunities into technical strategies, partnering with stakeholders, and providing technical leadership through mentoring and design reviews. Excellent communication and collaboration skills are essential for working across geographies and time zones.
Job Requisition ID #
26WD99166
Position Overview
We 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.
Responsibilites
- 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
Minimum Qualification
- 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
**Learn More**
About Autodesk
Welcome 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 transparency
Salary 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.
Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: [https://www.autodesk.com/company/global-belonging](https://www.autodesk.com/company/global-belonging)
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
Sample Autodesk interview questions
- 1
Design a distributed rate limiter.
system designmedium - 2
Outline the components of a distributed A/B testing system that ensures statistical validity and prevents experiment collision.
system designmedium - 3
Reverse Nodes in k-Group Reverse nodes in k-group in a linked list. Input: head = [1,2,3,4,5], k = 3 Output: [3,2,1,4,5] Explanation: The first 3 elements are reversed, while the remaining 2 are left untouched since they don't form a complete group.
codingmedium - 4
Split an array into consecutive subsequences. Input: nums = [1,2,3,4,4,5] Output: FALSE Explanation: The numbers can form [1,2,3,4], but the remaining leftover group [4,5] is too short to form a valid sequence of length 3.
codingmedium - 5
Count the number of anagrammatic substrings from one string present in another. Input: s = "abab", p = "ab" Output: [0, 1, 2] Explanation: The substrings "ab", "ba", and "ab" starting at indices 0, 1, and 2 respectively are all anagrams of the string "ab".
codingmedium
Sign up for a personalized interview prep pack tailored to this role.
Similar roles
Sr. Applied AI/ML EngineerVISEO IBERIA · United States · Remote
Senior Applied AI/ML EngineerPivotal Health · San Francisco, California, United States · Hybrid
Senior Applied AI/ML EngineerPivotal Health · New York, New York, United States · Hybrid
Senior Applied AI/ML EngineerPivotal Health · Santa Monica, California, United States · Remote
Applied AI/ML EngineerSundayy · United States · Remote