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Ai Implementation Jobs in Ohio (NOW HIRING)

Proven track record designing and implementing RAG architectures at scale * Proficiency in Python for AI/ML work and NodeJS/TypeScript for backend development * Experience with agentic frameworks and ...

Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models, promoting technological advances where people and technology thrive together.

Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models, promoting technological advances where people and technology thrive together.

Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models, promoting technological advances where people and technology thrive together.

Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models, promoting technological advances where people and technology thrive together.

Agentic AI Architecture Design and implement multi-agent systems using frameworks like LangChain, AutoGen, and CrewAI. Define agent patterns (planner-executor, tool-using agents, critic loops) and ...

Agentic AI Architecture Design and implement multi-agent systems using frameworks like LangChain, AutoGen, and CrewAI. Define agent patterns (planner-executor, tool-using agents, critic loops) and ...

Agentic AI Architecture Design and implement multi-agent systems using frameworks like LangChain, AutoGen, and CrewAI. Define agent patterns (planner-executor, tool-using agents, critic loops) and ...

Agentic AI Architecture Design and implement multi-agent systems using frameworks like LangChain, AutoGen, and CrewAI. Define agent patterns (planner-executor, tool-using agents, critic loops) and ...

Implementation Engineer The Opportunity: Maintain responsibility for completing site surveys and ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Our AI-driven software solution provides highly accurate, seamless capture of supply and implant ... About the Role In the role of Implementation Manager, you'll deploy AssistIQ's software across ...

Our AI-driven software solution provides highly accurate, seamless capture of supply and implant ... About the Role In the role of Implementation Manager, you'll deploy AssistIQ's software across ...

Showing results 21-40

Ai Implementation information

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of AI and machine learning algorithms. Gaining experience with programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and understanding of deployment environments are essential. Certifications in AI or cloud platforms can also enhance job prospects in this role.
What are the most commonly searched types of Ai Implementation jobs in Ohio? The most popular types of Ai Implementation jobs in Ohio are:
What cities in Ohio are hiring for Ai Implementation jobs? Cities in Ohio with the most Ai Implementation job openings:
Infographic showing various Ai Implementation job openings in Ohio as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Senior AI Engineer (US Remote)

Motorola

New Hampshire, OH • Remote

$180K - $210K/yr

Full-time

Medical, Dental, Retirement

Posted 11 days ago


Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

19th of 156 rated electronics manufacturers


Job description

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.


Department OverviewNoggin, a Motorola Solutions company, is a leader in integrated resilience management technology, offering a next-generation, cloud-based platform that combines 10 essential solutions into one unified system. Our award-winning platform seamlessly integrates operational and third-party risk management, operational resilience, business continuity, incident and crisis management, emergency management, and security and safety operations.
The Product Engineering area is responsible for designing, writing, testing and deploying the code for our software products at Noggin.
Job Description

Join Motorola Solutions as a Senior AI Engineer and help shape the future of AI-powered products and services. Based in Sydney with hybrid flexibility, you'll work at the forefront of generative AI, building production-scale solutions using AWS Bedrock and cutting-edge AI technologies.

As a senior member of our AI engineering team, you'll provide technical leadership, mentor engineers, and drive best practices in GenAI implementation. You'll work directly with Product Management and Software Engineering teams to transform AI use cases from concept to production, ensuring quality, safety, and scalability at every step.

Tech Stack

Core AI Technologies:

  • AWS Bedrock (Models, Agents, Knowledge Bases, Guardrails)

  • OpenSearch & Vector Databases

  • RAG (Retrieval-Augmented Generation) architectures

  • Agentic frameworks (LangChain, LlamaIndex, or AWS Bedrock Agents)

Development Stack:

  • Python (AI/ML development & data processing)

  • NodeJS with TypeScript (backend services)

  • AWS ecosystem (S3, IAM, CloudWatch, etc.)

AI Engineering Practices:

  • Prompt engineering & optimization

  • Model evaluation & testing frameworks

  • AI observability & monitoring

  • Responsible AI & safety practices

Skills & Experience

Required:

  • Bachelor's degree in Computer Science, Software Engineering, or related field

  • 5+ years in software development with 2+ years focused on production AI/GenAI systems

  • Deep, hands-on experience with AWS Bedrock, Knowledge Bases, and OpenSearch

  • Proven track record designing and implementing RAG architectures at scale

  • Proficiency in Python for AI/ML work and NodeJS/TypeScript for backend development

  • Experience with agentic frameworks and AWS Bedrock Guardrails

  • Strong understanding of AI/ML concepts: models, agents, embeddings, vector databases

  • Hands-on experience with prompt engineering and model evaluation methodologies

  • Knowledge of AI observability, monitoring, and responsible AI practices

Valued:

  • Experience with multi-modal AI capabilities

  • Familiarity with model distillation and cost optimization techniques

  • Background in AI safety, bias detection, or model explainability

  • Contributions to open-source AI projects or research publications

Key Responsibilities
  • Technical Leadership: Apply your expertise in GenAI, AWS Bedrock, and related technologies to drive architectural decisions and coach team members

  • End-to-End AI Development: Design, build, and refine AI use cases including guardrails, evaluation frameworks, and quality assurance

  • Collaboration: Partner with Product Management and Software Engineering teams to realize AI features from concept to production

  • Advisory Role: Provide technical guidance to management, team leads, and customers on AI implementation strategies

  • Community Engagement: Actively contribute to technology chapter meetings and knowledge sharing

What You'll Work On
  • Building production-scale GenAI applications using AWS Bedrock and foundation models

  • Implementing RAG systems with Knowledge Bases and vector search

  • Designing AI agents that can reason, plan, and execute complex workflows

  • Establishing prompt engineering best practices and evaluation pipelines

  • Ensuring AI safety through guardrails and responsible AI practices

  • Optimizing AI system performance, cost, and observability

Target Base Salary Range:$180,000 USD - $210,000 USD

Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

Note: Candidates located near the Waltham, MA office with the ability to work a hybrid schedule is preferred.

#LI-MP2
#LI-REMOTE


Basic Requirements
  • 8+ years experience in software development

  • AND 2+ years with AI/GenAI systems in production environments

  • AND 2+ years with AWS Bedrock

  • AND 2+ years with Python for AI/ML development

  • AND 2+ years with NodeJS/TypeScript for backend services

  • Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.


Travel RequirementsUnder 10%
Relocation ProvidedNone
Position TypeExperienced
Referral Payment PlanNo

Our U.S.Benefitsinclude:

  • Incentive Bonus Plans

  • Medical, Dental, Visionbenefits

  • 401K with Company Match

  • 10 Paid Holidays

  • GenerousPaidTime Off Packages

  • Employee Stock Purchase Plan

  • PaidParental & Family Leave

  • and more!


EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.

We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete thisReasonable Accommodations Formso we can assist you.


What Motorola Solutions employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Motorola Solutions logo

About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928