Job Description

The Senior Advisor AI Engineering will be responsible for designing, developing, and deploying state-of-the-art generative AI solutions and pipelines across GCP, Azure, and AWS. This role requires expertise in prompt engineering, model fine-tuning, embeddings, and RAG pipelines. The ideal candidate will bring technical excellence, cloud expertise, and practical experience in production-grade AI deployments and delivery for product and business stakeholders.

Key Responsibilities:

  • Design, develop, and deploy generative AI solutions using models such as Google Gemini, Azure OpenAI - GPT, or AWS Nova.
  • Build and maintain scalable AI pipelines including RAG pipelines, vector databases, and embedding models. 
  • Conduct prompt engineering and implement best practices for model performance and usability. 
  • Implement and optimize AI/ML workflows on cloud platforms: GCP (Vertex AI, Cloud Run, Pub/Sub, Observability), Azure, AWS. 
  • Perform model fine-tuning, evaluations, and experimentation to improve generative AI outputs. 
  • Collaborate with cross-functional teams to integrate AI solutions into applications and products. 
  • Ensure technical excellence, scalability, and robustness in AI systems. 
  • Stay up-to-date with emerging generative AI techniques and best practices.

    • Required Qualifications: 

  • Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or related field. 
  • + years of professional experience in AI/ML with at least + years focused on Generative AI. 
  • Hands-on experience with cloud platforms: GCP - (Vertex AI, Cloud Run, Pub/Sub), Azure (OpenAI Service /Azure Foundry), or AWS Bedrock. 
  • Expertise in prompt engineering, embeddings, RAG pipelines, and vector databases. 
  • Strong Python programming skills and experience with ML frameworks (Hugging Face, PyTorch, TensorFlow). 
  • Experience implementing AI pipelines, MLOps, and model lifecycle management in production environments. 
  • Experience in model fine-tuning, optimization, evaluation, and deployment. 
  • Strong understanding of machine learning concepts, data pipelines, and production-ready AI systems. 
  • Proven ability to consult with business stakeholders to deliver effective, technically excellent, scalable AI solutions.

    • Preferred Skills:  

  • Familiarity with vector databases (Pinecone, Chroma) and RAG frameworks. 
  • Familiarity with MLOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes). 
  • Strong presentation, communication, and stakeholder advisory skills. 
  • Background in AI consulting, innovation labs, or R&D environments is a plus. 
  • Experience in the healthcare domain. 

    • Apply for this Position

    Ready to join ? Click the button below to submit your application.

    Submit Application