Security Architecture

HRConnects

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 opportunity 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

Ready to shape the future of enterprise AI and data solutions? Apply now and be part of a team driving innovation and impact.

Apply

Vacancy posted 7 hours ago

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