AI Platform 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.

Requirements

Ensure adherence to governance and DevSecOps protocols.

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

Job Responsibilities

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.

What we offer

Exciting Projects: Come take your place at the forefront of digital transformation With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.

Collaborative Environment:

You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment - or even abroad in one of our global centers or client facilities

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules and opportunities to work from home.

Professional Development: We provide continuing education classes, professional certification and training (technical, soft skills, language, and communication skills) to help you realize your professional goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges.

Excellent Benefits: We provide our employees with competitive salaries, health and life insurance, short-term and long-term disability insurance, a matched contribution 401K plan, flexible spending accounts, and PTO and holidays

About GlobalLogic GlobalLogic is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next-generation products and digital experiences. We expertly integrate design, complex engineering, and agile delivery capabilities to deliver superior business outcomes for global brands in telecom, automotive, healthcare, technology, media and entertainment, manufacturing, and semiconductor industries.

Headquartered in Silicon Valley, GlobalLogic employs over