Principal Applied AI/ML Engineer

đŸ”„ 2 hours ago

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Logo of Autodesk

Autodesk

10,000+ employees

Founded 1982

đŸ“± Media

Architecture ‱ Engineering ‱ Media

Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.

📋 Description

‱ 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

‱ 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.

đŸ–ïž Benefits

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

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