1972 AI Engineer (Advanced)

Responsibilities

• Build enterprise-grade AI/ML systems (LLMs, RAG, multi-agent automation, vision/NLP models)
• Develop retrieval pipelines, embedding strategies, semantic indexes & vector search
• Build and maintain cloud-native AI workflows using AWS (SageMaker, Lambda, EMR, Step Functions)
• Integrate AI solutions into (CDEC, CDH, SAP, microservices)
• Lead PoCs, architecture designs, and collaborate with global stakeholders
• Implement MLOps pipelines & model monitoring (drift detection, auto-retraining)
• Ensure security alignment, model governance, responsible AI practices
• Document designs, decisions, evaluations, and solution patterns
• Support Agile ceremonies, sprint planning, backlog refinement and cross-team collaboration

Qualifications / Experience

• Relevant IT/Engineering/Computer Science/Data Science Degree
• Preferred Certifications:
  • AWS ML Specialty
  • AWS Solutions Architect (Associate/Professional)
  • DeepLearning.AI (GenAI, LLMs, Agents)
  • Hashicorp Terraform Associate