Blue Yonder - Artificial Intelligence/Prompt Engineer

Description :

About the job

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.

What You'll 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.

- Must have experience in Python, RAG, Vector DB, LangChain/LangGraph

- 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

- Deep experience in GitHub ecosystem : Action, Package, Advance Security and CI/CD pipeline

- Provide technical guidance and mentorship to other members of the data engineering and software development teams.

- 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.

Industry Experience :

What we are looking for :

- Bachelors degree in computer science, Information Technology, or a related field with 8-12 years of experience, with 5+ years of experience in conversational AI engineering, design, and implementation

- Proven expertise in the GitHub ecosystem Actions, CI/CD pipelines, repo governance, and workflow automation

- Hands-on experience in DevOps with containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform) to enable scalable, reliable cloud deployments

- Knowledge in Supply Chain Planning product will be added advantage.

- Possesses basic knowledge of relevant industry domain and business processes of the customers

Technical Skills :

- Experience with Python(must), Oracle DB, Java.

- Demonstrates strong analytical and problem-solving skills.

- AI/ML : Azure AI, RAG, Vector DB, LangChain/LangGraph, ResponseAPI

- Evaluation & Observability : Eval framework, Langfuse, ELK Stack

- DevOps : GitHub ecosystem, CI/CD Pipeline, VC, branching strategies

- Infrastructure automation : Docker, Kubernetes, Terraform

- Understanding of scripting languages Unix Shell Scripting, PowerShell, Python, etc.

Key Responsibilities :

- Architect, design, and deploy AI Agents

- Build and maintain GitHub-based CI/CD pipelines and automation workflows.

- Lead DevOps transformation with GitHub Actions as the backbone of release engineering.

- Integrate AI-driven capabilities into enterprise SaaS supply chain platforms.

- Implement Eval models, observability, and feedback loops for AI performance optimization.

- Ensure high reliability and scalability of mission-critical AI and SaaS solutions through SRE practices.

- Mentor and guide junior engineers in AI agents, GitHub DevOps, and SaaS reliability.

Soft Skills :

- Must have excellent communication and interpersonal skills to interact with global customers, business users and internal personnel, with an emphasis on follow-through and reporting.

- Collaborates relentlessly, passionately and respectfully with various BY teams, customers and partners

- Leads by example demonstrating professionalism during internal and external conversations, understands cultural differences and diversity.

- Balances between Soft skills (process, people, values, teamwork, roles) and hard skills (technologies, frameworks, solutions, products)

- Must be self-motivated and a quick learner - adapt to new technologies, platforms, and integrations.

Education :

- Bachelors degree in computer science, Artificial Intelligence, Data Science, or a STEM related field

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