System Architect IT Specialist

Eaton; Beachwood (OH); On-site; USD 108,000 - 160,000; Full time

Job summary

An innovative firm is looking for a System Architect IT Specialist to shape the architectural vision for complex products. In this role, you'll collaborate with Agile teams to explore solutions and validate technology assumptions. Your expertise in software engineering and machine learning will be crucial as you lead the design and implementation of AI solutions while ensuring they seamlessly integrate into existing systems. This position offers a chance to work closely with senior IT and business leaders, making a significant impact on the company's future. If you're ready to take on this exciting challenge, we want to hear from you!

Qualifications

• 7+ years in software industry required.
• Experience with Azure Open AI and LLMOps is a must.
• Expertise in software design principles and multithreading.

Responsibilities

• Lead design and development of complex product solutions.
• Define system interfaces and establish nonfunctional requirements.
• Oversee implementation of AI solutions and machine learning workflows.

Skills

C#

Python

Machine Learning

Azure Open AI

DevSecOps

Agile/Scrum

Cybersecurity

MLOps

Education

Bachelor’s Degree

Tools

Azure Cloud Services

APIs

CI/CD Tools

Job description

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Join to apply for the System Architect IT Specialist role at Eaton

Eaton’s Corporate Sector division is currently seeking a System Architect IT Specialist. The expected annual salary range for this role is $108749.97 - $159499.96 a year.

Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations.

What You’ll Do

Job summary

As a System Architect, you will define and communicate a shared architectural vision for complex products, ensuring they meet current and future business needs. Collaborating with Agile teams, we explore solutions, validate technology assumptions, evaluate alternatives, and converge on the best path forward. Working closely with Enterprise and Solution Architects, our goal is to deliver solutions that align with the broader architecture guardrails.

Job Responsibilities

• Lead and participate in the planning, definition, development, and high-level design of complex product solutions and architectural alternatives
• Enable a continuous delivery pipeline through proper design guidelines
• Define and communicate system interfaces, data structures, data storage, integrations, cybersecurity considerations, test automation concepts, and deployment approaches
• Establish and communicate critical nonfunctional requirements
• Consider the impact economic boundaries have on design decisions and operate accordingly
• Participate in solution planning, incremental planning, product demos, and inspect and adapt events
• Plan and develop the architectural runway for a product that supports desired business outcomes
• Provide technical oversight and encourage security, quality, and automation
• Effectively negotiate with the business to ensure nonfunctional work (e.g. patching, platform upgrade etc.) is properly prioritized and worked on to reduce the accumulation of technical debt over time
• Lead the design, development, and implementation of AI solutions, ensuring they integrate seamlessly into existing systems.
• Collaborate closely with senior IT and business leaders, enterprise architects, and Cyber Security teams.
• Oversee the implementation and maintenance of machine learning workflows and manage the lifecycle of large language models.
• Design and optimize prompts to guide the behavior of language models and provide strategies to improve their accuracy.
• Advise on optimizing token usage for cost-effectiveness and improved performance
  
  
  

Qualifications

Basic (required) Qualifications:

• Bachelor’s Degree Accredited Institution
• Minimum seven (7) years in the software industry
• Minimum three (3) years in Azure Open AI, LLMOps, MLOps, Machine learning, RAG, Model Tuning and accuracy evaluation and API’s and Azure Cloud Services
• No relocation is offered for this position. All candidates must currently reside within 50 miles of one of the following locations listed to be considered: Beachwood, OH: Galesburg, MI: Houston, TX: Menomonee Falls, WI: Moon Township, PA: or Raleigh, NC
• Must be authorized to work in the United States without company sponsorship now or in the future
  
  
  

Preferred Qualifications

• Extensive experience utilizing best practices in software engineering
• Extensive experience developing enterprise grade, highly scalable, highly performant applications and/or distributed systems
• Expert level skills in C#, Python
• Expert level understanding of software design principles, design patterns, algorithms, data structures, and multithreading concepts
• Expert level understanding of DevSecOps, CI, and CD principles from code check-in through to deployment
• Extensive experience with modern software development principles including code management, test automation, APIs, microservices, and cloud services.
• Solid understanding and proven usage of cybersecurity concepts such as encryption, hashing, certificates, PKIs, Threat Modeling, secure coding, and OWASP.
• Extensive experience working with Agile, Scrum, or Kanban
• Experience with multiple cloud service providers such as Azure, AWS, and GCP. Certification is a plus
• Familiarity with models like LAMA , Mistral etc
  
  
  

Soft Skills

• Advanced verbal and written communication skills including the ability to explain and present technical concepts to all levels of the organization
• Comfortable working directly with both technical and non-technical audiences
• Good judgment, time management, and decision-making skills
• Ability to work collaboratively on a technical team
• Patience and empathy when working with and coaching developers and testers
• Extensive experience working with diverse, global cultures, organizations and teams
  
  
  

We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws.

You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report.

To request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at 1-800-836-6345 to discuss your specific need. Only accommodation requests will be accepted by this phone number.

We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

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Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  Appliances, Electrical, and Electronics Manufacturing

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