Skip to main content
Loading
loadingbar
Loading, Please wait..!!

Senior Software Engineer 5734

  • Senior Software Engineer 5734 job type Posted on: Nov 02, 2026
  • Senior Software Engineer 5734 experience level Tier4 Group
  • Senior Software Engineer 5734 employment type Milwaukee, Wisconsin
  • Senior Software Engineer 5734 employment type Onsite
  • Senior Software Engineer 5734 salary Full-time

Point Apply Here APPLY LATER

Curious about compensation?

Explore the historical salary trends, average pay, and estimated compensation for Senior Software Engineer 5734 roles in Wisconsin.

View Salary Guide →

Job Title :

Senior Software Engineer 5734

Job Type :

Full-Time

Job Location :

Milwaukee Wisconsin United States

Remote :

No

Jobcon Logo Job Description :

Title: Senior Software Engineer (AI Platform Engineer)Location: Milwaukee, WIType: Hybrid (3 days onsite per week)Duration: 11/02/2026 - 12/31/2026 + extensionAs an AI PDLC Engineer, you will help shape how software engineers across the enterprise build with AI. You'll design, build, and roll out standardized AI agents, guardrails, and engineering practices that make AI-assisted development faster, safer, and more consistent. Your work will reach development teams company-wide. Our goal is for AI to improve both delivery speed and quality, not one at the expense of the other.This role sits where platform engineering meets AI enablement. You will turn emerging AI capabilities into trusted, reusable, enterprise-grade solutions that developers can adopt with confidence.Primary Duties & Responsibilities:Build, test, and maintain standardized AI agents, skills, and reusable workflows for software developers across the enterprise.Design and implement AI guardrails that are enforced in code and pipelines, not just documented, including automated quality, security, and policy checks for AI-assisted development.Bring rigor to AI-assisted delivery by defining and automating verification standards, such as code review checks, test quality, and evaluation of agent output.Version-control agents, prompts, and skills like any other code, and keep them aligned with enterprise engineering standards.Partner with security, architecture, and risk stakeholders so AI solutions meet governance expectations before enterprise rollout.Support adoption by writing clear documentation, enabling developer teams, and collecting feedback to improve usability and outcomes.Collaborate within a hybrid team by taking part in scrum ceremonies and giving constructive feedback in code merge reviews.Take ownership of backlog items and contribute to git repositories to move initiatives forward and deliver high-quality features.Qualifications:Bachelor's Degree in Software Engineering or related field, or equivalent experience.3+ years of experience developing in one or more of the following programming languages: Python, Java, JavaScript / NodeHands-on experience with AI-assisted development tools, LLM-based agents, or agentic workflows.Familiarity with AI guardrail and evaluation concepts, such as input/output validation, policy enforcement, and measuring the quality of agent output.Experience with major testing frameworks and writing automated unit and integration tests.Experience building software and deploying it through CI/CD pipelines.Understanding of the Software Development Life Cycle (SDLC) and DevOps principles.Experience with agile methodologies and working within a scrum team.Ability to communicate proactively and manage expectations with stakeholders such as digital product, software architecture, security, and others.

Jobcon Logo Position Details

Posted:

Nov 02, 2026

Reference Number:

10440_4482233065

Employment:

Full-time

City:

Milwaukee

Job Origin:

APPCAST_CPC

Share this job:

  • linkedin

Jobcon Logo
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Senior Software Engineer 5734    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Title: Senior Software Engineer (AI Platform Engineer)Location: Milwaukee, WIType: Hybrid (3 days onsite per week)Duration: 11/02/2026 - 12/31/2026 + extensionAs an AI PDLC Engineer, you will help shape how software engineers across the enterprise build with AI. You'll design, build, and roll out standardized AI agents, guardrails, and engineering practices that make AI-assisted development faster, safer, and more consistent. Your work will reach development teams company-wide. Our goal is for AI to improve both delivery speed and quality, not one at the expense of the other.This role sits where platform engineering meets AI enablement. You will turn emerging AI capabilities into trusted, reusable, enterprise-grade solutions that developers can adopt with confidence.Primary Duties & Responsibilities:Build, test, and maintain standardized AI agents, skills, and reusable workflows for software developers across the enterprise.Design and implement AI guardrails that are enforced in code and pipelines, not just documented, including automated quality, security, and policy checks for AI-assisted development.Bring rigor to AI-assisted delivery by defining and automating verification standards, such as code review checks, test quality, and evaluation of agent output.Version-control agents, prompts, and skills like any other code, and keep them aligned with enterprise engineering standards.Partner with security, architecture, and risk stakeholders so AI solutions meet governance expectations before enterprise rollout.Support adoption by writing clear documentation, enabling developer teams, and collecting feedback to improve usability and outcomes.Collaborate within a hybrid team by taking part in scrum ceremonies and giving constructive feedback in code merge reviews.Take ownership of backlog items and contribute to git repositories to move initiatives forward and deliver high-quality features.Qualifications:Bachelor's Degree in Software Engineering or related field, or equivalent experience.3+ years of experience developing in one or more of the following programming languages: Python, Java, JavaScript / NodeHands-on experience with AI-assisted development tools, LLM-based agents, or agentic workflows.Familiarity with AI guardrail and evaluation concepts, such as input/output validation, policy enforcement, and measuring the quality of agent output.Experience with major testing frameworks and writing automated unit and integration tests.Experience building software and deploying it through CI/CD pipelines.Understanding of the Software Development Life Cycle (SDLC) and DevOps principles.Experience with agile methodologies and working within a scrum team.Ability to communicate proactively and manage expectations with stakeholders such as digital product, software architecture, security, and others.

Loading
Please wait..!!