Embedded AI/Data Engineer - Client-Facing & MLOps

HRConnects; Toronto; Hybrid; CAD 140,000 - 180,000; Full time

Job summary

HRConnects is seeking a Forward Deployed Engineer to embed with client teams and drive AI-powered data solutions. You will design scalable data pipelines, deploy AI applications across cloud platforms, and implement MLOps/LLMOps for secure production environments, while measuring impact and enabling knowledge transfer.

Located in Toronto, this hybrid role starts as soon as possible and offers a competitive salary range with enterprise-grade collaboration.

Qualifications

• 10+ years in data engineering, AI app development, and cloud data platforms.
• Proficiency in Python, PySpark, SQL, REST APIs, FastAPI, Git, Docker, Kubernetes, Airflow, MLflow, CI/CD.
• Experience with Claude, prompt engineering, RAG, vector databases, and MLOps/LLMOps in production.

Responsibilities

• Embed with client teams to map workflows, data, and decision points.
• Validate and harden solutions using real client data and APIs.
• Design and deploy enterprise AI/data apps across cloud platforms.
• Build and manage batch, real-time, and streaming data pipelines.
• Implement MLOps/LLMOps for lifecycle and deployment automation.
• Conduct structured error analysis and prioritize improvements.
• Resolve blockers related to data access, security, and infra.
• Monitor post-launch performance, ensure reliability, and stabilize.
• Collaborate with clients to track KPIs and transfer knowledge.

Skills

Data engineering

Python

PySpark

SQL

REST APIs

Git

Docker

Kubernetes

Airflow

MLflow

CI/CD

MLOps/LLMOps

Claude

Prompt engineering

Vector databases

Education

Bachelor’s degree

Tools

Docker

Kubernetes

Airflow

MLflow

Git

Job description

HRConnects is seeking a Forward Deployed Engineer to embed with client teams and drive AI-powered data solutions. You will design scalable data pipelines, deploy AI applications across cloud platforms, and implement MLOps/LLMOps for secure production environments, while measuring impact and enabling knowledge transfer.

Located in Toronto, this hybrid role starts as soon as possible and offers a competitive salary range with enterprise-grade collaboration.