Application Architect 7251-0312

HM Note: This hybrid role is three days in office

Responsibilities:

Applied to both the process and the outcome of thinking out and specifying the overall structure logical components and the logical interrelationships of a AI solution and other solutions that involves computer its operating system a network or other conception.

Defines the structure and relationship among AI related or other solutionbased applications including the identification of reusable components quality level metrics the organization and layering of software and the determination of interfaces.

Responsibilities also include developing implementing and managing at least one crossplatform application in a large and distributed environment monitor the whole system understand all interactions between components on a given level of abstraction as well as to define limitations and requirements for source code.

Defines the AI strategy or emerging technology strategy for various business lines while developing customer journey maps..

Defines the interactions between application packages databases and middleware systems.

General Skills:

Experience in the development and implementation of application architectures at the specified experience level

Extensive experience with at least two different computing platforms operating systems environments database technologies programming languages and communication protocols

Experience with middleware and gateways

Knowledge of performance considerations in different environments

Experience in structured methodologies for the design development and implementation of applications

Extensive experience in systems analysis and design in large systems environments

Experience in the use of development tools information retrieval packages and other software tools such as project management software and business reengineering software Experience in the use of data and process modelling methodologies techniques and tools including a working knowledge of metadata structures repository functions and data dictionaries

Experience in developing enterprise architecture deliverables (e.g. models)

Awareness of emerging I and amp;IT trends and directions like AI ML etc.

Excellent analytical problemsolving and decisionmaking skills; verbal and written communication skills; interpersonal and negotiation skills

A team player with a track record for meeting deadlines

Desirable Skills:

Knowledge and understanding of objectoriented AIbased analysis and design techniques.

Experience in developing enterprise architecture deliverables (e.g. models) based on Ontario Government Enterprise Architecture methodologies processes and practice Knowledge and understanding of AI Microservices API Information Management principles concepts policies and practices

Experience designing detailed functional and technical requirements for new and existing business solutions

Experience developing enterprise architecture deliverables (e.g. models and documentation).

Experience in developing customer journey maps

Experience leading multitier application infrastructure design documentation and configuration for medium or large corporate implementations

Experience designing developing implementing and maintaining large complex applications workflow processes and dynamic forms

Skills

Experience and Skill Set Requirements

General Skills

Experience in the development and implementation of application architectures at the

specified experience level

Extensive experience with at least two different computing platforms operating

systems environments database technologies programming languages and

communication protocols

Experience with middleware and gateways APIs Service Mesh

Knowledge of performance considerations in different environments

Experience in structured methodologies for the design development and

implementation of applications

Extensive experience in systems analysis and design in large systems environments

Experience in the use of development tools Computer Aided Software Engineering

(CASE) tools information retrieval packages and other software tools such as

project management software and business reengineering software

Experience in the use of data and process modelling methodologies techniques and

tools including a working knowledge of metadata structures repository functions

and data dictionaries

Experience in developing enterprise architecture deliverables (e.g. models)

Awareness of emerging I and amp;IT trends and directions in AI

Experience in upcoming technologies and IT concepts related to microservices AI ML LLMs

Excellent analytical problemsolving strategic thinking and decisionmaking skills; verbal and written

communication skills; interpersonal and negotiation skills

A team player with a track record for meeting deadlines

Desirable Skills

Knowledge and understanding of objectoriented analysis and design techniques

Experience in developing enterprise architecture deliverables (e.g. models) based on

Ontario Government Enterprise Architecture methodologies processes and practice

Knowledge and understanding of Information Management principles concepts

policies and practices

Experience designing detailed functional and technical requirements for new and

existing business solutions including AI

Experience developing enterprise architecture deliverables (e.g. models and

Experience developing customer/user service journey maps deliverables (e.g. models and

documentation)

Experience leading multitier application infrastructure design documentation and

configuration for medium or large corporate implementations

Experience designing developing implementing and maintaining large complex

applications workflow processes and dynamic forms including use of microservices design AI ML

Selection Criteria

Criteria 1 60 Points:

Experience in the development and implementation of application architecture at an advanced level and nbsp;with at least two different computing platforms including AI operating systems environments database technologies programming languages and communication protocols middleware and gateways.

Experience in development and implementation of microservices architectures service mesh and customer experience portals.

Good knowledge and experience in AI and ML implementations.

Knowledge and Experience in Customer Journey maps development.

Criteria 2 30 Points:

Experience working with DevOps engineers to design and implement an end to end CI/CD pipeline for the application and ensure performance and reliability of production environments

Experience working in a Cloudbased and Microservices type development environment

Expertise to influence strategy and guide automation using AI and other emerging technologies

Perform peer review and ensure quality at every stage of the product development lifecycle

Recommend and implement changes to reference architecture development frameworks and design patterns

Promotes industry standards and best practices with the product teams

Knowledge and understanding of Accessibility for Ontarians with Disability Act (AODA) and related regulations and standards

Experience working in microservices and agile frameworks like scrum for development design implementation and maintenance of applications

Criteria 3 10 Points:

Excellent analytical problemsolving and decisionmaking skills; verbal and written communication skills; interpersonal and negotiation skills

A team player with a track record for meeting deadlines

Provide mentorship and perform knowledge transfer to other peer developers