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Ai Application Developer Jobs in Alberta (NOW HIRING)

Application Security Developer

Calgary, AB · Hybrid

CA$137K - CA$157K/yr

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of ... We are currently seeking an Application Security Engineer to join our rapidly growing Security team.

Sr. AI Engineer

Calgary, AB

CA$91K - CA$114K/yr

Developing, testing and managing cloud-native and 3rd party tooling and AI-on-cloud technologies ... Working with software developers, application architects, QA engineers, and operations teams to ...

Application Development & DevOps * Supporting the full application lifecycle, from design through ... Leveraging tools such as Azure DevOps, GitHub, and cloud-based delivery pipelines. AI & Innovation

Senior AI Solutions Engineer

Calgary, AB · Remote

CA$140K - CA$175K/yr

The Senior AI Engineer serves as the primary technical authority for AI initiatives and works ... your application. TYLin is an equal opportunity employer, and we prohibit discrimination and ...

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Ai Application Developer information

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

What is the salary of an AI developer?

The salary of an AI application developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

How much does an AI app developer make?

The average salary for an AI application developer ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Developers with expertise in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI application developer or AI research director, often offering top-tier compensation due to expertise, experience, and the complexity of projects. These roles may require advanced skills in machine learning, deep learning, and proficiency with tools like TensorFlow or PyTorch, along with relevant certifications and a strong professional track record.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

What are the key skills and qualifications needed to thrive as an AI Application Developer, and why are they important?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI Application Developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is an AI Application Developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.
What are popular job titles related to Ai Application Developer jobs in Alberta? For Ai Application Developer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Ai Application Developer jobs in Alberta look for? The top searched job categories for Ai Application Developer jobs in Alberta are:
Infographic showing various Ai Application Developer job openings in Alberta as of July 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution.
Senior Lead AI Application Engineer

Senior Lead AI Application Engineer

Royal Bank of Canada

Calgary, AB • On-site

Full-time

Posted 6 days ago


Job description

Job Description

What is the Opportunity?

As the Senior Lead AI Application Engineer, you will lead multi-agentic application software engineering and full-stack delivery of secure, cloud native microservices that embed pragmatic AI. You will build production UIs and APIs that orchestrate agent workflows end to end, integrate seamlessly with RBC's CI/CD, observability, and security pipelines, and operate reliably in regulated environments. Leveraging LLMs, data pipelines, and GPU/multi cloud stacks, you will deliver resilient, scalable services that automate complex risk and security controls, accelerate regulatory readiness, and enable safe, auditable AI behaviors. You will set standards, build reusable components, and mentor engineers across platforms and product teams.

What will you do?

  • Design, build, and operate fullstack agentic applications: React/TypeScript frontends and secure backend services (Node.js/Express or Python/FastAPI or Java/Spring Boot) exposing REST/gRPC/GraphQL APIs; deliver UIs and APIs that orchestrate agent workflows endtoend.
  • Engineer multiagent systems (plan/act/reflect, tool use, delegation) with robust state and coordination across services; implement failure handling, retries, and idempotency using frameworks such as LangGraph or AutoGen.
  • Deliver CI/CD and platform automation: Docker images, GitHub Actions/Jenkins/Argo CD, IaC (Terraform/Helm), Kubernetes deployments, release/rollback and changecontrol aligned to RBC standards.
  • Implement context and data layers for agents: connectors (incl. MCP) to enterprise systems, streaming/eventing (Kafka), caching (Redis), vector search (pgvector/Milvus/Pinecone), and schema/PII controls to keep actions grounded and compliant.
  • Build reusable SDKs, APIs, and templates for agent capabilities (inference, tools, RAG) with clear interfaces, code samples, and internal packages to accelerate teams.
  • Establish runtime controls and observability: OpenTelemetry traces/metrics/logs, Grafana/Prometheus dashboards, feature flags, rate limits/quotas, circuit breakers, and SLOs for latency, quality, and cost.
  • Enforce DevSecOps and zerotrust patterns: OAuth2/OIDC, mTLS, secrets (Vault/KMS), SAST/DAST, threat modeling; ensure privacy, data residency, and compliant deployments (NIST, SOX/ITGC) across AWS/Azure/onprem GPU.
  • Partner across Security, Risk, and Platform; mentor engineers; influence reference architectures, standards, and documentation; drive design reviews for agentic services.

What do you need to succeed?

Must Have

  • Bachelors degree in Software Engineering, Computer Science or equivalent practical experience.
  • 5+ years building production fullstack systems: React/TypeScript; backend with Node.js/Express, Java/Spring Boot, or Python/FastAPI; strong API design (REST/gRPC/GraphQL) and eventdriven patterns.
  • Handson multiagent engineering: interagent communication, shared state, tool adapters, orchestration with LangGraph/CrewAI/AutoGen; RAG pipelines; vector DBs (pgvector/Milvus/Pinecone/FAISS); MCPbased secure connectors.
  • Cloudnative delivery on Kubernetes with CI/CD (Docker, GitHub Actions/Jenkins/Argo CD), automated testing (unit/integration/contract/E2E), and IaC (Terraform/Helm); experience with API gateways (Apigee/Kong) and service mesh (Istio/Linkerd).
  • Data and integration: SQL (Snowflake/Postgres), NoSQL (MongoDB), streams (Kafka), caching (Redis); integrating with enterprise systems (ServiceNow IRM/GRC) using resilient, secure patterns.
  • DevSecOps and observability: OAuth2/OIDC, mTLS, Vault/KMS, SAST/DAST; OpenTelemetry, Grafana/Prometheus; operating in regulated environments with NIST/SOX/ITGC controls.

Nice to Have

  • Advanced LLM operations: finetuning (LoRA/PEFT), alignment (RLHF/DPO), optimization (DeepSpeed), model serving (Triton/ONNX), and policy/guardrail engines. Distributed systems scaleout: Ray/SageMaker, backpressure and retry strategies, multiregion/DR, and dualcloud/hybrid operations.
  • Security and zerotrust depth: service mesh/mTLS, WAF, secrets rotation, key management, and advanced SAST/DAST/IAST.
  • Quantitative evaluation and product analytics: statistics for A/B tests and offline evals, human feedback loops, cost/latency optimization, and data governance best practices.

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • Flexible work/life balance options
  • Opportunities to do challenging innovation work and potential for patentable solutions
  • Opportunities to take on progressively greater accountabilities

Job Skills

Agentic AI, Agentic AI, Agentic Context Engineering, AI Agent Security, API Design, Application Development, Application Integrations, Application Maintenance, Application Programming Interface (API), Applications Architecture, Artificial Intelligence (AI), AWS Cloud Computing, Collaboration, Containerization, Cybersecurity, Data Security, Design, Detail-Oriented, DevOps, DevSecOps, Docker (Software), Docker Container, Docker Kubernetes Architecture, End-to-End Testing, Enterprise Application Delivery {+ 18 more}

Additional Job Details

Address:

16 YORK ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-10

Application Deadline:

2026-07-27

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME