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.
- Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or related field.
- 10+ years of professional experience in AI/ML with at least 2+ 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.
- 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.
Top Skills
What We Do
MRO empowers healthcare organizations with proven, enterprise-wide solutions for the secure, compliant and efficient exchange of Protected Health Information (PHI). These solutions include a suite of PHI disclosure management services comprised of release of information, government and commercial payer audit management and accounting of disclosures. MRO’s technology-driven services reduce the risk of improper disclosure of PHI, ensure unmatched accuracy and enhance turnaround times. MRO additionally supports its clients’ current and future initiatives, including interoperability, meaningful use and health information exchange. To learn more, visit www.mrocorp.com.
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