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 NovaBuild and maintain scalable AI pipelines , including :Retrieval-Augmented Generation (RAG) pipelinesVector databasesEmbedding modelsPerform prompt engineering and apply best practices for optimal model performanceImplement and optimize AI / ML workflows on cloud platforms :GCP : Vertex AI, Cloud Run, Pub / Sub, ObservabilityAzure & AWS AI servicesConduct model fine-tuning, evaluation, and experimentationCollaborate with cross-functional teams to integrate AI solutions into products and applicationsEnsure scalability, robustness, and technical excellence in AI systemsStay current with emerging Generative AI trends and best practicesRequired Qualifications :
Bachelor’s or Master’s degree in Computer Science, AI, ML , or related field10+ years of AI / ML experience, including 2+ years in Generative AIHands-on experience with cloud platforms :GCP (Vertex AI, Cloud Run, Pub / Sub)Azure OpenAI / Azure FoundryAWS BedrockStrong expertise in :Prompt engineeringEmbeddingsRAG pipelinesVector databasesProficient in Python and ML frameworks : Hugging Face, PyTorch, TensorFlowExperience with MLOps, AI pipelines, and model lifecycle managementProven experience in model fine-tuning, optimization, evaluation, and deploymentStrong understanding of production-ready AI systems and data pipelinesAbility to consult and partner with business stakeholders to deliver scalable AI solutionsPreferred Skills :
Experience with vector databases : Pinecone, ChromaFamiliarity with RAG frameworksKnowledge of MLOps, CI / CD pipelines, Docker, KubernetesStrong communication, presentation, and advisory skillsBackground in AI consulting, innovation labs, or R&DHealthcare domain experience (nice to have)