Sr. Manager, AI Platform Engineering

Work with AI engineers to help them drive the architecture, design, and implementation of key components of the Agentic AI and Machine Learning platform

Build and deploy secure, scalable GenAI applications with a strong emphasis on privacy, safety, and compliance

Integrate LLMs into enterprise workflows, such as copilots, document summarization, intelligent assistants, and domain-specific Q&A systems

Partner with business leaders to identify opportunities where Agentic AI and Machine Learning can create measurable value. Translate business needs into clear AI solution designs, including guardrails, validation approaches, and measurable success metrics

GenAI Engineering & AIOps:

Design, manage, and monitor the enterprise AI engineering platform, ensuring scalability, reliability, and automation

Take ownership of observability, and resilient architecture

Develop robust AIOps processes to monitor model performance, detect drift, and automate retraining and validation

Build and maintain tools and frameworks to govern GenAI models for compliance, bias, versioning, traceability, and auditability

Data Engineering & Feature Platforms:

Design and implement feature engineering and data pipelines to deliver high-quality training data and inference-ready datasets

Partner with data scientists and engineers to create reusable, production-grade feature stores and pipelines

Solve complex data ingestion, transformation, and governance challenges in collaboration with data platform and DataOps teams

Develop integrated ML/AI solutions on enterprise analytics platforms

Team Leadership & Talent Development:

Hire, mentor, and grow a high-performing AI engineering team with a focus on innovation, execution, and impact

Provide technical mentorship and guidance to AI engineers and data scientists, ensuring high standards in design and implementation

Promote a culture of continuous learning, experimentation, and operational excellence.

Building auto-scaling ML systems:

AI Engineering & AIOps

MLflow, KServe, SageMaker, Vertex AI, Databricks, etc.

GenAI

LLM providers (OpenAI, Anthropic), Hugging Face, LangChain, Agentic Frameworks, Agent Evaluations, etc.

Data Infra

Spark, Kafka, Delta Lake, etc

DevOps

Kubernetes, Jenkins, GitOps, Terraform, etc