AI Engineer
Core
Design, develop, and deploy scalable Generative AI, Agentic AI, and machine learning solutions for commercial, medical, and patient analytics in Healthcare and Life Sciences.
Role type
Senior Consultant - AI Engineer (Generative AI & MLOps)
Builds
Enterprise-scale LLM applications, RAG architectures, intelligent agents, and production-grade AI platforms.
Domain
Healthcare and Life Sciences
Deliverable
production ML models | product features
Required skills
Generative AI, LLMs, RAG, Agentic AI, Python, SQL, Databricks, Snowflake, Spark/PySpark, Azure/AWS/GCP, MLOps/LLMOps, CI/CD, Docker, Kubernetes, API development, stakeholder management
Preferred skills
None stated
Technologies
Python, SQL, Databricks, Snowflake, Spark, PySpark, Azure, AWS, GCP, Docker, Kubernetes, Git
Responsibilities
Design and build production-grade AI/ML solutions; Develop Generative AI and Agentic AI applications; Implement MLOps pipelines and governance; Partner with stakeholders to translate business problems into AI solutions; Mentor junior engineers.
Seniority
Senior, hands-on IC with consulting responsibilities
