Senior, Software Engineer - Gen AI

Workday, Inc.
Boulder, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 257K

Job location

Remote
Boulder, United States of America

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Artificial Neural Networks
Big Data
Software as a Service
Code Review
Data Cleansing
Information Engineering
ETL
Python
Machine Learning
Object-Oriented Software Development
Search Technologies
Software Engineering
Cloud Platform System
Large Language Models
Containerization
Information Technology
Workday
Docker

Job description

As an AI/ML Engineer on the Workday Adaptive Planning team, you'll help redefine how financial planning is done at scale-by designing and building intelligent, agentic workflows that power the next generation of FP&A solutions. You will be at the forefront of bringing AI-first thinking into production, developing enterprise-level intelligent systems that automate, adapt, and assist users throughout the financial planning journey. Your work will directly impact thousands of global enterprises and millions of end users. What You'll Do

  • Lead design and development of sophisticated AI agents that reason, learn, and interact across complex business processes to enhance productivity and decision-making.
  • Embed secure, scalable, and reliable agentic capabilities into core Adaptive Planning features.
  • Collaborate with engineers and product managers to bring ideas to life.
  • Lead the full AI development lifecycle-problem framing, data preparation, design & development, deployment, evaluation, and continuous improvement.
  • Harness Workday Adaptive Planning's vast enterprise datasets to tune and optimize AI models for high-value outcomes.
  • Provide technical guidance to junior engineers, conduct code reviews, and unblock the team on deep technical hurdles.

Requirements

  • 4+ years of experience working on a data science, machine learning, or related software development team.
  • 4+ years of experience with Python supporting ML/AI libraries, with experience in shipping secure, production solutions.
  • 4+ years of experience in object-oriented programming with Java.
  • 5+ years of experience in SaaS software development., * Bachelor's degree in a relevant field, such as Computer Science, Mathematics, or Engineering. A PhD or MS degree in a relevant field is highly desired.
  • Extensive experience with large language models (LLM), retrieval-augmented generation (RAG) systems, semantic search and text embedding models, transformer neural networks, and related frameworks.
  • Experience with cloud computing platforms (eg, AWS, GCP), containerization technologies (eg, Docker) and data engineering pipelines (eg, ETL).
  • Experience developing and deploying machine learning solutions using large-scale datasets, including specification design, data collection and labeling, model development, validation, deployment, and ongoing monitoring.
  • An ability to balance speed with delivering high-quality, practical solutions. Shown perseverance in overcoming significant problems.

Workday Pay Transparency Statement

Benefits & conditions

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants.

Primary Location: USA.CO.Boulder

Primary Location Base Pay Range: $171,600 USD - $257,400 USD

Additional US Location(s) Base Pay Range: $163,000 USD - $288,000 USD Our Approach to Flexible Work

With Flex Work, we're combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote home office roles also have the opportunity to come together in our offices for important moments that matter. Equal Opportunity Statement

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. Accessibility Statement

About the company

Are you energized by seeing AI products come to life in real-world settings-especially when they directly impact how companies plan their workforce and finances? At Workday, our Adaptive Planning organization is on a mission to reimagine the FP&A customer journey with an AI-first attitude. We serve thousands of the world's largest enterprises, and now we're building agentic workflows that will transform how finance teams interact with planning systems-making them more intelligent, proactive, and efficient.

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