Join us as a Forward Deployed Engineer and be at the forefront of transforming complex data challenges into innovative AI-powered solutions that make a real impact. This role offers a unique chance to embed directly with clients, shaping the future of enterprise data and AI applications through hands‑on engineering, collaboration, and strategic problem‑solving.

In this role, you’ll work closely with business users, product owners, and engineering teams to understand workflows, analyze data, and drive solutions from prototype to production. You’ll be instrumental in designing and deploying scalable data pipelines, developing AI applications using cutting-edge tools like Claude, prompt engineering, and vector databases, and implementing MLOps/LLMOps capabilities to ensure reliable, secure production environments. You’ll also support adoption and measure success, providing ongoing stabilization, incident resolution, and optimization to maximize business value.

Start Date

As soon as possible

Location

Toronto, ON Hybrid

Salary

140K - 180K

Key Responsibilities Include

Embedding with client teams to map workflows, data, and decision points

Validating and hardening solutions using real client data and APIs

Designing and deploying enterprise AI and data applications across cloud platforms

Building and managing batch,



real‑time, and streaming data pipelines

Implementing MLOps/LLMOps best practices for lifecycle and deployment automation

Conducting structured error analysis and prioritizing improvements

Resolving technical blockers related to data access, security, and infrastructure

Monitoring post‑launch performance, ensuring reliability, and supporting stabilization

Collaborating with clients to track KPIs, measure impact, and facilitate knowledge transfer

Must‑Have Qualifications

10+ years of experience in data engineering, AI application development, and cloud data platforms

Expertise in Python, PySpark, SQL, REST APIs, FastAPI, Git, Docker, Kubernetes, Airflow, MLflow, and CI/CD

Experience with Claude, prompt engineering, RAG, vector databases, and agentic AI patterns

Proven ability to operationalize MLOps/LLMOps, including deployment, monitoring, and support in production

Strong client‑facing skills with experience in discovery, prototyping, and technical presentations

Bachelor’s degree in a relevant discipline; certifications in cloud, Kubernetes, AI engineering, or security are a plus

Nice‑to‑Have

BFSI industry experience

Additional certifications in cloud, security, or architecture

📌 Forward Deployed Engineer (Toronto)
🏢 HRConnects
📍 Toronto