AI Engineer
- Toronto, ON, Canada
The annual salary for this position is between $80-99Kdepending on experience and other qualifications of the successful candidate. · Full-time
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Job details
- Pay
- The annual salary for this position is between $80-99Kdepending on experience and other qualifications of the successful candidate.
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Job Title - AI Engineer
Location – Halifax
Responsibilities
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Location – Halifax
Responsibilities
- Build and maintain scalable batch and streaming data pipelines for ingestion, transformation, and curation
- Design and optimize data models, feature stores, and storage patterns for AI/ML workloads
- Implement DataOps and MLOps automation (CI/CD, data validation, model deployment, monitoring, drift detection)
- Design, build, and optimize agentic AI systems and LLM-powered applications (RAG pipelines, agent orchestration)
- Develop and integrate AI services into secure, production-grade environments
- Design and implement AI systems architecture best practices and standards across the organization
- Build scalable, resilient cloud and on-premise systems for hosting AI/LLM applications
- Provide infrastructure design, optimization, and monitoring support
- Translate business requirements into technical solutions through cross-functional collaboration
- Ensure code quality, system reliability, scalability, and observability
- Advanced Python proficiency with strong software engineering fundamentals (version control, testing, code reviews)
- Proficiency in SQL and distributed computing (Spark, distributed systems)
- Deep experience with data modeling and feature engineering across the ML lifecycle
- Hands-on experience building LLM applications, RAG pipelines, and agentic AI frameworks (LangChain/LangGraph preferred)
- Expertise designing distributed systems at enterprise scale
- Strong CI/CD and DevOps knowledge (GitHub/GitHub Actions, Docker, Kubernetes)
- Experience with event streaming platforms (Kafka)
- Demonstrated ability to design and deploy hybrid cloud and on-premise systems (AWS, Azure)
- Excellent collaboration and communication skills across engineering, research, and product teams
- Self-directed problem-solving mindset and ability to navigate enterprise complexity
- Master's degree in Computer Science, Software Engineering, or related field with 5+ years in data/software/ML/AI engineering (preferred)
- UI development expertise with React and JavaScript (a plus)
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
More about this job
Responsibilities
Build and maintain scalable data pipelines and AI/ML workloads, including the design of agentic AI systems and LLM-powered applications. Implement MLOps automation and establish AI systems architecture standards across the organization.
Requirements
Requires advanced Python and SQL proficiency with deep experience in distributed computing and LLM frameworks. A Master's degree in Computer Science or a related field with over 5 years of engineering experience is preferred.
Skills
- Python
- SQL
- Spark
- LLM Applications
- RAG Pipelines
- LangChain
- LangGraph
- CI/CD
- Docker
- Kubernetes
- Kafka
- AWS
- Azure
- Distributed Systems
- React
- JavaScript
Benefits
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Paid holidays
- Paid Time Off
- Long-term Disability
- Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
- Consulting
Keywords
- AI Engineer
- Machine Learning
- DataOps
- MLOps
- RAG
- Agentic AI
- Feature Stores
- Distributed Computing
- GitHub Actions
- Hybrid Cloud
- On-premise Systems
- Software Engineering
- Data Modeling
- Feature Engineering
- Event Streaming
- Observability
- Scalability
- Production-grade Environments