Senior Advisor – AI Engineering

Senior Advisor – AI Engineering | Remote | Permanent Role | Product-Based Company

Job Title:

Senior Advisor – AI Engineering

Location: Remote

Employment Type: Permanent (Full-Time)

Company Type: Product-Based Organization

Role Overview:

• Design, develop, and deploy state-of-the-art Generative AI solutions across GCP, Azure, and AWS
• Drive production-grade AI deployments for products and business stakeholders
• Apply deep expertise in prompt engineering, fine-tuning, embeddings, and RAG pipelines

Key Responsibilities:

• Design and deploy Generative AI solutions using Google Gemini, Azure OpenAI (GPT), AWS Nova
• Build and maintain scalable AI pipelines , including:
• Retrieval-Augmented Generation (RAG) pipelines
• Vector databases
• Embedding models
• Perform prompt engineering and apply best practices for optimal model performance
• Implement and optimize AI/ML workflows on cloud platforms:
• GCP: Vertex AI, Cloud Run, Pub/Sub, Observability
• Azure & AWS AI services
• Conduct model fine-tuning, evaluation, and experimentation
• Collaborate with cross-functional teams to integrate AI solutions into products and applications
• Ensure scalability, robustness, and technical excellence in AI systems
• Stay current with emerging Generative AI trends and best practices

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, AI, ML , or related field
• 10+ years of AI/ML experience, including 2+ years in Generative AI
• Hands-on experience with cloud platforms:
• GCP (Vertex AI, Cloud Run, Pub/Sub)
• Azure OpenAI / Azure Foundry
• AWS Bedrock
• Strong expertise in:
• Prompt engineering
• Embeddings
• RAG pipelines
• Vector databases
• Proficient in Python and ML frameworks: Hugging Face, PyTorch, TensorFlow
• Experience with MLOps, AI pipelines, and model lifecycle management
• Proven experience in model fine-tuning, optimization, evaluation, and deployment
• Strong understanding of production-ready AI systems and data pipelines
• Ability to consult and partner with business stakeholders to deliver scalable AI solutions

Preferred Skills:

• Experience with vector databases: Pinecone, Chroma
• Familiarity with RAG frameworks
• Knowledge of MLOps, CI/CD pipelines, Docker, Kubernetes
• Strong communication, presentation, and advisory skills
• Background in AI consulting, innovation labs, or R&D
• Healthcare domain experience (nice to have)