Scope:
- We are seeking a highly skilled AI/Prompt Engineer to design, implement, and maintain artificial intelligence (AI) and machine learning (ML) solutions for our organization.
- The ideal candidate will have a deep understanding of AI and ML technologies, as well as experience with data analysis, software development, and cloud computing.
Our current technical environment:
- Software: Python, R, JavaScript. GIT, Rest API, OAuth.
- Application Architecture: Scalable, Resilient, event driven, secure multi-tenant Microservices architecture
- Cloud Architecture: MS Azure (ARM templates, AKS, HD insight, Application gateway, Virtue Networks, Event Hub, Azure AD)
- Data Science Tools: Pandas, NumPy, Scikit-learn, TensorFlow, Keras, NLP
- Databases: SQL
What your will do:
- Design and implement AI/ conversational AI solutions and ML solutions to solve business problems and to improve customer experience and operational efficiency.
- Develop and maintain machine learning models using tools such as TensorFlow, Keras, and PyTorch
- Collaborate with cross-functional teams to identify opportunities for AI and ML solutions and develop prototypes and proof-of-concepts.
- Develop and maintain data pipelines and ETL processes to support AI and ML workflows.
- Monitor and optimize model performance, accuracy, and scalability
- Stay up to date with emerging AI and ML technologies and evaluate their potential impact on our organization.
- Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures
- Provide technical guidance and mentorship to other members of the data engineering and software development teams.
- Develop and maintain chatbots and voice assistants using tools such as Dialogflow, Amazon Lex, and Microsoft Bot Framework
- Develop and maintain integrations with third-party systems and APIs to support conversational AI workflows.
- Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures.
- Provide technical guidance and mentorship to other team members.
What we are looking for:
- Bachelor’s degree in computer science, Information Technology, or a related field with 8+ years of experience in conversational AI engineering, design, and implementation
- Strong understanding of NLP technologies, including intent recognition, entity extraction, and sentiment analysis
- Experience with software development, including proficiency in Python and familiarity with software development best practices and tools (Git, Agile methodologies, etc.)
- Familiarity with cloud computing platforms (AWS, Azure, Google Cloud) and related services (S3, EC2, Lambda, etc.)
- Experience with big data technologies (Hadoop, Spark, etc.)
- Experience with containerization (Docker, Kubernetes)
- Experience with data visualization tools (Tableau, Power BI, etc.)
- Experience with reinforcement learning and/or generative models.
- Experience with machine learning technologies and frameworks (TensorFlow, Keras, etc.)
- Experience with big data technologies (Hadoop, Spark, etc.)
- Strong communication and collaboration skills
- Strong attention to detail and ability to prioritize tasks effectively.
- Strong problem-solving and analytical skills
- Ability to work independently and as part of a team.
- Strong attention to detail and ability to prioritize tasks effectively.
- Experience working with cloud platforms like AWS, Google Cloud, or Azure.
- Knowledge of big data technologies such as Apache Spark, Hadoop, or Kafka is a plus.
- Strong problem-solving and analytical skills.
- Ability to work in an agile and fast-paced development environment.
Our Values
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
Blue Yonder Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blue Yonder and has not been reviewed or approved by Blue Yonder.
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Leave & Time Off Breadth — PTO is described as generous or “unlimited” in the U.S., alongside paid holidays, sick time, and two paid volunteer days. These policies are often highlighted as strengths that support work–life balance.
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Flexible Benefits — Remote-work options and flexible arrangements are emphasized as part of the package. This flexibility is valued alongside compensation and can help offset middling pay for some roles.
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Healthcare Strength — Medical, dental, and vision coverage are provided, with mental health/EAP support and HSA/FSA options referenced. These core coverages are portrayed as solid and comprehensive.
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What We Do
Blue Yonder is the world leader in digital supply chain and omni-channel commerce fulfillment. Our intelligent, end-to-end platform enables retailers, manufacturers and logistics providers to seamlessly predict, pivot and fulfill customer demand. With Blue Yonder, you can make more automated, profitable business decisions that deliver greater growth and re-imagined customer experiences. Blue Yonder - Fulfill your Potential Blue Yonder’s tagline “Fulfill Your Potential” reflects the company’s mission to empower every organization and person on the planet to fulfill their potential. Each day, our global teams of associates and business partners work together to accelerate global economic growth, increase sustainability and prosperity with a Sonoran Spirit.
