Senior AI Engineer

Job summary

Design and deploy scalable AI and automation solutions using AWS and agentic AI to solve complex business problems. Collaborate with stakeholders to integrate LLMs and machine learning services into production-ready enterprise applications.

Job details

Vision Talent is supporting a financial services client who is seeking a Senior AI Engineer – AWS / Automation / Agentic AI to join their growing team. This is a permanent role and requires 2 days/week on site in downtown Toronto (very close to Union). Overview We are seeking a Senior AI Engineer to join a growing Corporate AI team responsible for delivering innovative AI solutions across the organization. The team has evolved from delivering traditional AI use cases to building machine learning-driven and agentic AI solutions that create measurable business value. This role is ideal for someone who is passionate about emerging AI technologies, enjoys experimenting with new tools and frameworks, and stays current with the rapidly evolving AI landscape. Responsibilities Design, develop, and deploy scalable AI and automation solutions using AWS services and modern AI technologies. Build intelligent workflows, AI-powered applications, and agentic AI solutions to solve complex business problems. Evaluate emerging AI frameworks, models, and tools, recommending new technologies that can enhance the organization's AI capabilities. Collaborate with product owners, developers, and business stakeholders to translate business needs into production-ready AI solutions. Integrate large language models (LLMs), machine learning services, and enterprise applications into scalable solutions. Develop reusable AI components, automation frameworks, and best practices to accelerate future delivery. Contribute to architectural decisions, technical standards, and the evolution of the organization's AI platform. Mentor team members and foster a culture of innovation, experimentation, and continuous learning. Required Qualifications 5+ years of experience in software engineering, machine learning, or AI solution development. Strong hands-on experience with AWS services, including AI/ML offerings such as Amazon Bedrock, SageMaker, Lambda, API Gateway, Step Functions, and related cloud-native services. Experience building automation solutions and integrating enterprise systems through APIs and event-driven architectures. Experience working with large language models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), or AI orchestration frameworks. Exposure to agentic AI concepts, autonomous workflows, or AI agents. Strong programming skills in Python and experience with modern software engineering practices. Excellent problem-solving skills and the ability to communicate technical concepts to both technical and business audiences. Preferred Qualifications Experience with LangChain, LangGraph, CrewAI, AutoGen, or similar AI orchestration frameworks. Experience with vector databases, knowledge retrieval, and AI observability tools. Familiarity with Microsoft Azure AI services and multi-cloud environments. Experience deploying AI solutions into production within enterprise environments. Knowledge of DevOps, CI/CD pipelines, containerization, and Infrastructure as Code. Our client is looking for someone who is genuinely passionate about AI and excited by the pace of innovation in the industry. The ideal candidate is naturally curious, continuously explores emerging technologies, experiments with new tools and frameworks, and enjoys applying cutting-edge AI capabilities to solve real business problems. They thrive in collaborative environments, embrace change, and are eager to help shape the future direction of enterprise AI. In addition to base salary our client offers a very competitive overall compensation package with a 20% target bonus and other perks. Apply today to learn more!

What you’ll do

Design and deploy scalable AI and automation solutions using AWS and agentic AI to solve complex business problems. Collaborate with stakeholders to integrate LLMs and machine learning services into production-ready enterprise applications.

Requirements

Requires 5+ years of experience in software engineering or AI development with strong hands-on expertise in AWS AI/ML services and Python. Candidates should be proficient in LLMs, RAG, and AI orchestration frameworks.

Benefits

• Target Bonus

Listed skills

• CI/CD · Preferred
• Machine learning · Preferred
• Amazon Web Services · Preferred
• prompt engineering · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• AWS
• Agentic AI
• Python
• Large Language Models
• Prompt Engineering
• Retrieval-Augmented Generation
• Amazon Bedrock
• SageMaker
• LangChain
• Vector Databases
• Machine Learning
• API Integration
• Event-Driven Architecture
• CI/CD
• DevOps
• Software Engineering

Job areas

• Technology
• Software
• Data & Analytics
• Engineering
• Finance & Accounting