AI Engineering Consultant / Senior Consultant
Core
Design and deliver end-to-end AI/ML systems, MLOps frameworks, and generative AI solutions (RAG, agentic workflows) for clients.
Role type
Senior AI Engineering Consultant
Builds
Production AI/ML systems, MLOps frameworks, and client-ready demonstrations
Domain
Generative AI, MLOps, Cloud-native AI architectures
Deliverable
production ML models
Required skills
MLOps strategy, Generative AI, Agentic AI, RAG pipelines, LLM orchestration, Cloud-native architecture, ML pipeline automation, LLM API integration, Container orchestration
Preferred skills
Prompt evaluation, Vector databases, Lakehouse architectures, Event streaming
Technologies
Azure, GCP, AWS, Databricks, MLflow, Kubeflow, Airflow, LangChain, LlamaIndex, CrewAI, AutoGen, GitHub Actions, Docker, Kubernetes
Responsibilities
Assess and implement MLOps frameworks and governance; Design and deliver end-to-end AI/ML systems; Architect and implement generative AI solutions; Translate business requirements into technical blueprints; Embed safety and responsible AI mechanisms; Collaborate with stakeholders and delivery teams; Develop reusable assets and thought leadership.
Seniority
Senior, hands-on IC
