Lead AI/ML Systems Engineer

Job Description:

• Lead and actively contribute to the development of AI products, pilots, and solutions, with a focus on clean, maintainable code using Python, React, and AWS tools.
• Design, architect, and build scalable Gen AI solutions, including LLM pipelines, Agentic, MCP, Graph/RAG architectures, and prompt-based applications and emerging tech.
• Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena.
• Optimize performance of AI products; drive continuous learning and experimentation with cutting-edge Gen AI methods, frameworks, APIs, and toolchains.
• Work closely with product managers, data scientists, and domain experts to define technical solutions aligned with business needs.
• Act as a subject matter expert (SME) on Gen AI technologies and help shape the organization's AI roadmap.
• Own end-to-end delivery of Gen AI solutions. Manage timelines, deliverables, and project milestones using Agile practices (Scrum/Kanban).
• Monitor operational metrics and incident data to drive continuous improvement and reliability.
• Ensure adherence to governance and DevSecOps protocols.

Experience/Skiils:

• 6+ years of progressive experience in engineering roles, including at least 1-2 years leading emerging tech or AI initiatives.
• Gen AI models (GPT, Claude, Gemini, LLaMA) and prompt engineering techniques
• Agentic AI, MCP, and Graph/RAG architectures
• Gen AI Framework (LangChain, LlamaIndex, Amazon Bedrock)
• Web application development using Next.js, React, TypeScript/JavaScript
• AWS cloud services (EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation)
• Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments
• ETL orchestration using Apache Airflow/DAGs
• Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4j, Neptune) and query optimization
• Python programming (NumPy, Pandas, Matplotlib, Boto3)
• Automated testing frameworks (Ragas, Playwright, Zephyr, Selenium)
• Familiarity with SDLC best practices, DevSecOps, Agile Scrum/Kanban, and work management tools (JIRA, Confluence, JIRA Align).
• Knowledge of LLM fine-tuning techniques
• Experience in BI tools like QuickSight, Tableau
• Knowledge of financial markets and enterprise data systems

Education:

• Bachelor's or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field. 

Note: GlobalLogic estimates the starting pay range for this role to be performed in Toronto, ON to be $CAD 140,000 to $145,000 and reflects base salary only. This pay range is provided as a good-faith estimate, and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.