Apply on Kit Job: kitjob.ca/job/2g9dup

Location: Canada

Workplace type: Remote

Working Hours: PST

Duration: 12+ Months

Job Summary We at Coforge, are seeking a highly skilled

AI Engineer

with robust expertise in

Generative AI ,

Azure AI Foundry , and

Databricks

to design, develop, deploy, and govern enterprise‑grade AI solutions. The ideal candidate will have experience building

agentic AI systems , managing

end‑to‑end model lifecycles , and implementing

scalable MLOps pipelines

on Azure.

Key Responsibilities

Design and develop

Generative AI solutions

using

Azure AI Foundry , Azure OpenAI, and Databricks.

Build and manage

agentic AI workflows

leveraging Azure services for orchestration and autonomy.

Develop robust

data pipelines and feature engineering workflows

using Databricks.

Handle

model development, training, evaluation, and optimization

for enterprise AI use cases.

Deploy AI/ML models using

MLOps best practices , ensuring scalability, reliability, and security.

Implement

CI/CD pipelines

for model and pipeline deployment using

Databricks and Azure DevOps/GitHub .

Ensure

model governance, compliance, monitoring, and versioning

across environments.

Define and enforce

API standards and integration frameworks

to expose AI capabilities across enterprise systems.

Collaborate with data engineers, architects, and business teams to translate requirements into AI solutions.

Monitor model performance, drift,



and reliability; continuously improve models post‑deployment.

Required Skills & Qualifications

Strong experience in

Generative AI / LLM‑based solutions .

Hands‑on expertise with

Azure AI Foundry , Azure OpenAI, and related Azure AI services.

Proficient in

Databricks

for data engineering, model development, and deployment.

Experience building

agentic AI systems

and orchestration frameworks.

Solid understanding of

model governance, deployment, and orchestration .

Expertise in

MLOps, CI/CD pipelines , and automation on

Azure & Databricks .

Strong experience in

model deployment , monitoring, and lifecycle management.

Proficiency in

Python

and ML/AI frameworks.

Experience with

API integration and standardization

(REST, microservices).

Strong understanding of cloud‑native architectures on

Microsoft Azure .

Nice to Have

Experience with

LLM fine‑tuning, prompt engineering, and RAG architectures .

Knowledge of

security, compliance, and responsible AI frameworks .

Azure certifications (AI Engineer, Data Engineer, or Architect).

Experience working in large‑scale enterprise or regulated environments.

Education

Bachelor’s or Master’s degree in

Computer Science, Data Science, AI/ML , or a related field.

Looking forward to receiving your profile, for more details, please reach out to

[email protected]

#J-18808-Ljbffr

Apply on Kit Job: kitjob.ca/job/2g9dup

📌 AI Engineer (GenAI | Azure | Databricks) (Toronto)
🏢 Coforge
📍 Toronto