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)