Lead Engineer IT

Job Title: AI Engineer (Machine Learning & Generative AI)

We are looking for an experienced AI Engineer with 4-8years of experience in Machine Learning Artificial Intelligence and Generative AI. The ideal candidate will design develop and deploy scalable AI solutions across traditional machine learning and GenAI use cases.

• Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence Statistics Engineering or related field.
• 4-8 years of experience in AI/ML or Data Science roles.
• Strong Python programming and AWS experience.

• Build end-to-end ML solutions for classification regression recommendation forecasting clustering anomaly detection and optimization problems.
• Perform feature engineering model experimentation hyperparameter tuning and model evaluation.
• Design and execute A/B testing and model validation strategies.
• Develop explainable and auditable ML models for business-critical applications.
• Monitor model performance and support retraining initiatives.
• Design and develop LLM-powered applications.
• Build RAG systems using vector databases and enterprise knowledge repositories.
• Develop AI copilots intelligent assistants and agentic workflows.
• Implement prompt engineering prompt optimization evaluation frameworks and guardrails.
• Develop production-grade AI services APIs SDKs and microservices.
• Design scalable REST APIs and event-driven architectures.
• Apply design patterns SOLID principles and clean coding standards.
• Work with Docker EKS SNS SQS and other AWS services.

Must-Have Skills

• Strong hands-on experience with Python for developing production-grade AI and machine learning applications.
• Ability to write clean maintainable and reusable code following software engineering best practices.
• Experience developing APIs automation frameworks and AI services using Python.

• Strong proficiency in SQL for data extraction transformation and analysis.
• Experience working with large-scale structured and semi-structured datasets.
• Ability to perform exploratory data analysis and derive business insights from data.

• Strong expertise in machine learning algorithms and techniques including:
  • Classification
  • Regression
  • Clustering
  • Recommendation Systems
  • Forecasting
  • Anomaly Detection
• Hands-on experience with:
  • Scikit-Learn
  • XGBoost
  • LightGBM
  • CatBoost
• Deep understanding of:
  • Feature Engineering
  • Model Evaluation
  • Hyperparameter Tuning
  • Cross Validation
  • Explainable AI

• Practical experience developing NLP solutions using TensorFlow or PyTorch.
• Understanding of transformers embeddings and modern NLP techniques.
• Experience with text classification semantic search summarization information extraction and conversational AI use cases.

• Hands-on experience building enterprise-grade GenAI applications.
• Strong understanding of:
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Agentic AI Workflows
  • Structured Output Generation
  • Evaluation Frameworks
• Experience using frameworks such as:
  • LangChain
  • LangGraph

• Experience designing and developing RESTful APIs and microservices.
• Strong understanding of design patterns object-oriented programming and SOLID principles.
• Experience creating reusable AI components SDKs and shared libraries.

• Working knowledge of AWS services commonly used for AI applications including:
  • Amazon EKS
  • SNS
  • SQS
  • Lambda
  • S3
  • API Gateway
• Ability to build scalable cloud-native AI solutions.

• Experience with Docker for packaging and deploying AI applications.
• Understanding of container-based application development and deployment.

• Strong experience with Git and collaborative development workflows including code reviews branching strategies and release management.

• Experience processing large-scale datasets using Spark.
• Understanding of distributed data processing and big data workloads.

• Experience with CrewAI or similar multi-agent frameworks.
• Understanding of agent orchestration tool usage memory management and autonomous workflows.

• Experience working with one or more of:
• OpenSearch
• pgvector
• Knowledge of embeddings vector search and semantic retrieval techniques.

• Understanding of knowledge graph concepts and graph-based retrieval techniques.
• Exposure to GraphRAG architectures for improving reasoning and explainability.

• Understanding of event-driven design patterns.
• Experience integrating SNS SQS Kafka or similar messaging technologies into AI solutions.

This position can be based in any of the following locations:

Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday