Machine Learning Engineering Intern developing innovative AI solutions for contact centers at Cresta. Collaborating with top researchers and engineers in AI to unlock customer experience potential.
About the role
- Senior Manager leading development for Evisort AI with a high-performing team. Drive technical excellence and deliver robust AI agent solutions within the Workday ecosystem.
Responsibilities
- Build, lead, and mentor a team of exceptional AI agent engineers.
- Ensure timely project delivery to exceptional standards of our AI agents.
- Work closely with product managers, data scientists and other stakeholders to translate business requirements into technical solutions
- Collaborate with architects and principal engineers to ensure seamless integration with the Workday platform
- Foster a culture of innovation, collaboration and continuous improvement and learning.
- Evaluate and integrate cutting-edge AI technologies, including LLMs, RAG, and orchestration frameworks (e.g., LangGraph)
- Collaborate with external vendors and open-source communities to leverage best-in-class AI technologies
- Ensure all AI solutions adhere to data privacy, security, and compliance standards
- Implement robust testing, monitoring and feedback loops to ensure agent performance and reliability
- Ensure the scalability, reliability, and security of AI agent solutions within the Workday environment.
Requirements
- 5+ years of experience in machine learning engineering leadership
- 10+ years of experience with design and development for mission critical systems at scale
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven ability to seek out and hire the highest performing professionals to build cutting edge products built on AI
- Deep understanding of LLMs, AI agents, RAG, and orchestration frameworks.
- Experience with enterprise-grade AI architectures, API integration, and large-scale automation.
- Strong problem-solving, communication, and collaboration skills.
- Experience with the Workday platform is a strong plus.
Benefits
- Workday Bonus Plan
- Annual refresh stock grants
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Degree requirement
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
MLOps/LLMOps Architect designing AI solutions for a next - gen AI platform in Canada. Collaborating with teams on architecture, deployment, and governance in AI environments.
Staff MLOps Engineer responsible for building infrastructure for AI/ML at NBCUniversal. Managing large media datasets, deploying models, and automating data pipelines.
Deep Learning Engineer at NBCUniversal implementing algorithms in computer vision and graphics. Transforming high dimensional data into high - fidelity content using advanced techniques.
Staff Deep Learning Engineer at NBCUniversal implementing core algorithms for 2D and 3D media datasets. Collaborating with cofounders and deploying large - scale algorithms for high - fidelity content.
Senior Machine Learning Engineer at DraftKings shaping player experiences through machine learning solutions. Leading initiatives to improve engagement and retention via advanced data strategies.
Machine Learning Developer at Rocket Innovation Studio designing frameworks for automated decision - making. Collaborating with data scientists to develop algorithms and hosting trained models into business processes.
MLOps Developer leading major workstreams for AI - enhanced aerial surveillance platforms. Focused on deploying deep learning models and influencing MLOps strategy.
ML Engineer on the Alerts Team developing AI for crisis intelligence. Building and maintaining ML models in a dynamic environment.
Senior Staff Machine Learning Engineer at Workiva defining enterprise - level AI architecture and solutions. Leading technical direction and influencing secure AI platform design across multiple teams.