AI Engineer (x2)

Evolutionary Recruiting; Edmonton; Hybrid; CAD 90,000 - 140,000; Full time

Job summary

Evolutionary Recruiting is seeking an AI Engineer in Edmonton, hybrid, for a 1-year contract to design, develop, and deploy AI-powered solutions in Retail Banking. You will work with an AI Architect and Data Engineer to bring AI use cases from concept to production using Copilot, Claude, Bedrock and related platforms.

Ideal candidates have hands-on experience building enterprise AI solutions, strong software skills (Python, C#, JavaScript/TypeScript), and a track record delivering AI-enabled

Qualifications

• 5+ years of software or AI engineering experience.
• Proven delivery of AI solutions in production environments.
• Experience integrating AI platforms and enterprise systems.
• Experience partnering with business stakeholders to deliver tech solutions.

Responsibilities

• Design, build, test, and deploy enterprise AI solutions for Retail Banking transformations.
• Develop AI-powered applications, copilots, agents, and intelligent assistants.
• Collaborate with AI Architect and Data Engineer to productionize AI use cases.
• Implement responsible AI practices and governance across solutions.
• Support AI enablement for Copilot, Claude, Bedrock, and related platforms.

Skills

Python

C#

JavaScript / TypeScript

REST APIs

Git

CI/CD

AWS Cloud Services

SQL

Data Integration

Tools

Microsoft Copilot

Claude

Amazon Bedrock

AWS AI Services

Amazon SageMaker

Microsoft Power Platform

Job description

Title: AI Engineer (x2)
Location: Edmonton, AB (hybrid)
Status: Full-Time Contract (1-yr)

All Candidates must be eligible and authorized to work in Canada.

Position Overview

Our client is building an enterprise AI Factory to reimagine Retail Banking through the strategic adoption of artificial intelligence. This initiative is focused on transforming customer experiences, employee productivity, banking operations, and service delivery through practical AI solutions.

As an AI Engineer, you will be responsible for designing, developing, and deploying AI-powered applications, agents, assistants, and intelligent workflows. Working alongside an AI Architect and Data Engineer, you will help bring AI use cases from concept to production using technologies including Microsoft Copilot, Copilot Studio, Claude, AWS AI Services, Amazon Bedrock, and related AI technologies.

This role is ideal for individuals who have hands-on experience building AI solutions in enterprise environments and are excited by the opportunity to shape the future of Retail Banking.

What You'll Do:

Design and Deliver AI Solutions

• Design, build, test, and deploy enterprise AI solutions that support Retail Banking transformation.
• Develop AI-powered applications, copilots, agents, and intelligent assistants using Microsoft Copilot, Claude, Amazon Bedrock, and related technologies.
• Translate business opportunities into practical AI-enabled solutions that create measurable value.
• Deliver scalable and reusable AI components that can be leveraged across multiple business functions.

Retail Banking Innovation

• Develop AI solutions that enhance customer experiences across digital, branch, mobile, and contact centre channels.
• Support AI-enabled customer onboarding, servicing, lending, payments, and relationship management processes.
• Identify opportunities to improve employee productivity and operational efficiency through AI adoption.
• Work with business stakeholders to redesign banking processes using intelligent automation and AI-powered decision support.

AI Agent Development

• Design and implement AI agents capable of retrieving information, performing tasks, and supporting business processes.
• Build solutions that combine generative AI capabilities with enterprise systems, knowledge repositories, and business workflows.
• Develop agentic experiences that improve both customer and employee interactions.

Copilot and Claude Enablement

• Develop and support solutions leveraging Microsoft Copilot and Copilot Studio.
• Build integrations and applications utilizing Claude, Amazon Bedrock, and other large language model platforms.
• Evaluate and optimize model performance, prompts, workflows, and user experiences.
• Support a multi-model AI environment and determine the most appropriate technology for each use case.

Retrieval-Augmented Generation (RAG) & Knowledge Solutions

• Develop knowledge-grounded AI solutions using enterprise content and data sources.
• Partner with the Data Engineer to support vector search, semantic search, and enterprise knowledge repositories.
• Improve the quality, accuracy, and reliability of AI-generated responses.

Responsible AI & Governance

• Ensure AI solutions comply with security, privacy, risk, and regulatory requirements.
• Participate in AI testing, evaluation, monitoring, and governance activities.
• Implement responsible AI practices and controls within all solutions.

Mandatories:

• 5+ years of experience in software engineering, AI engineering, solution development, automation, or related technical disciplines.
• Demonstrated experience building and deploying AI solutions in production environments.
• Experience integrating AI platforms, APIs, and enterprise systems.
• Experience working directly with business stakeholders to deliver technology solutions.

Required AI Skills

• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• AI Agent Development
• Workflow Automation
• AI Solution Evaluation and Optimization

Preferred Platform Experience

Strong preference will be given to candidates with hands-on experience in one or more of the following:

• Microsoft Copilot
• Microsoft Copilot Studio
• Claude
• Amazon Bedrock
• AWS AI Services
• Amazon SageMaker
• Microsoft Power Platform

Technical Skills

• Python
• C#
• JavaScript / TypeScript
• REST APIs
• Git
• CI/CD
• AWS Cloud Services
• SQL
• Data Integration and Enterprise Application Integration

Experience supporting customer-facing or employee-facing AI use cases within financial services will be considered a strong asset.