Senior AI Engineer
Core
Design and implement complex AI/ML systems, pipelines, and model-serving architectures for enterprise workloads, embedding AI capabilities into client operations to drive business transformation.
Role type
Senior Staff Individual Contributor AI Engineer (Generative AI & ML)
Builds
End-to-end AI solutions, reusable frameworks, and cloud-native model deployments for professional services clients.
Domain
Professional Services / Enterprise AI / Generative AI
Deliverable
production ML models
Required skills
Python, PyTorch/TensorFlow, distributed systems, AWS/Azure/GCP, Kubernetes, Terraform, RAG systems, vector databases, LLM APIs, PEFT/LoRA fine-tuning, low-code platforms
Preferred skills
Leading technical workstreams, business development, C-suite stakeholder engagement, process improvement
Technologies
Docker, EKS/AKS/GKE, SageMaker, Vertex AI, Azure ML, Pinecone, Weaviate, FAISS, LangChain, LlamaIndex, OpenAI, Azure OpenAI, Gemini, Microsoft Power Platform
Responsibilities
Design and implement complex AI/ML systems and pipelines; Lead development of reusable frameworks and tools; Analyze large-scale datasets and model telemetry; Architect distributed training and evaluation workflows; Collaborate with stakeholders on solution approaches; Mentor junior engineers; Implement automated testing and quality evaluations; Troubleshoot pipeline failures and infrastructure errors; Document architectural decisions; Optimize model lifecycle performance; Research new AI technologies; Ensure alignment with security and responsible AI guidelines.
Seniority
Senior Staff, hands-on IC with mentorship responsibilities