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 deploystate-of-the-art Generative AI solutionsacrossGCP, Azure, and AWS Driveproduction-grade AI deploymentsfor products and business stakeholders Apply deep expertise inprompt engineering, fine-tuning, embeddings, and RAG pipelines Key Responsibilities: Design and deploy Generative AI solutions usingGoogle Gemini, Azure OpenAI (GPT), AWS Nova Build and maintainscalable AI pipelines , including: Retrieval-Augmented Generation (RAG) pipelines Vector databases Embedding models Performprompt engineeringand 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 & AWSAI services Conductmodel fine-tuning, evaluation, and experimentation Collaborate with cross-functional teams to integrate AI solutions intoproducts and applications Ensurescalability, robustness, and technical excellencein AI systems Stay current withemerging Generative AI trends and best practices Required Qualifications: Bachelor’s or Master’s degree inComputer Science, AI, ML , or related field 10+ yearsof AI/ML experience, including2+ 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 inPythonand ML frameworks:Hugging Face, PyTorch, TensorFlow Experience withMLOps, AI pipelines, and model lifecycle management Proven experience inmodel fine-tuning, optimization, evaluation, and deployment Strong understanding ofproduction-ready AI systems and data pipelines Ability to consult and partner withbusiness stakeholdersto deliver scalable AI solutions Preferred Skills: Experience with vector databases:Pinecone, Chroma Familiarity withRAG frameworks Knowledge ofMLOps, CI/CD pipelines, Docker, Kubernetes Strongcommunication, presentation, and advisory skills Background inAI consulting, innovation labs, or R&D Healthcare domain experience(nice to have)

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