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Ai Implementation Jobs in Reading, PA (NOW HIRING)

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AI Architect

Reading, PA · On-site

Key Responsibilities • Design and implement end-to-end AI/ML architectures and production-ready solutions using modern AI frameworks and cloud-native technologies. • Architect, provision, and ...

ITBMS Inc.

AI Architect

Reading, PA · On-site

Key Responsibilities Design and implement end-to-end AI/ML architectures and develop production-ready solutions using modern AI frameworks and cloud-native technologies. Architect, provision, and ...

MethodHub

AWS AgentCore Platform Engr

Reading, PA · On-site

Mandatory Skills • Implementation of Agents on Agentcore runtime • Implementation of Agentic SDLC in Agentcore • Understanding of Strands or any other Agentic AI framework like Langraph ...

Cherry Bekaert

AI Prompt and Skills Engineer

Reading, PA · On-site

$69K - $89K/yr

As AI Prompt and Skills Engineer, you will: * Writes, tests and refines prompts across Tax ... and delivering implementation guidance when new tools and skills launch. * Documents prompt ...

Virtusa Corporation

Architect (ATC)

Reading, PA · On-site

This role requires a hands-on technical leader who can architect end-to-end AI/ML platforms, develop production-grade applications, and implement advanced agentic workflows using AWS Agent Core. The ...

Virtusa Corporation

Architect (ATC)

Reading, PA · On-site

This role requires a hands-on technical leader who can architect end-to-end AI/ML platforms, develop production-grade applications, and implement advanced agentic workflows using AWS Agent Core. The ...

Virtusa Corporation

Architect (ATC)

Reading, PA · On-site

This role requires a hands-on technical leader who can architect end-to-end AI/ML platforms, develop production-grade applications, and implement advanced agentic workflows using AWS Agent Core. The ...

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All JobsAi Implementation JobsAi Implementation Jobs in Reading, PA

Ai Implementation information

See Reading, PA salary details

$37.5K

$99.4K

$161.3K

How much do ai implementation jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ai implementation in Reading, PA is $99,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $116,200.00 per year, depending on experience, location, and employer.

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 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 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 machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

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 job categories do people searching Ai Implementation jobs in Reading, PA look for?

The top searched job categories for Ai Implementation jobs in Reading, PA are:

What cities near Reading, PA are hiring for Ai Implementation jobs?

Cities near Reading, PA with the most Ai Implementation job openings:

Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in Reading, PA as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $99,414 per year, or $47.8 per hour.

AWS AgentCore Platform Engineer

MethodHub

Reading, PA • On-site

Other

Re-posted just now

Job description

Role: AWS AgentCore Platform Engr

Location: Reading, PA (Hybrid 2-3 days/wk)

Interview: Virtual

Requirements:

  • Experience: 8+ years in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).
  • Cloud Expertise: Deep proficiency in AWS (IAM, CloudWatch, Bedrock, Lambda).
  • Observability Tools: Proven experience with Dynatrace, Jaeger, or Honeycomb, and distributed tracing standards.
  • AI/LLM Interest: Familiarity with the LLM lifecycle, including prompt execution, token usage, and frameworks like LangChain or AgentCore.
  • Automation: Advanced experience with Terraform and CI/CD pipeline design.
  • Collaboration: Experience working in an Agile environment with integrated tools like Microsoft Teams and Confluence.
  • User this when submitting candidates:
  • Also please check if the next candidate has some experience with at least 50% of below items

Mandatory Skills:

  • Implementation of Agents on Agentcore runtime
  • Implementation of Agentic SDLC in Agentcore
  • Understanding of Strands or any other Agentic AI framework like Langraph, Langchain or Crew AI
  • Implementation of Bedrock Knowledge Base
  • Implementation of Knowledge Graph
  • Implementation of MCP servers in Agentcore
  • Implementation of Agentcore Gateway
  • Implementation of Agentcore Identity
  • Implementation of Agentic AI Observability
  • Implementation of Agentcore Evaluations
  • Implementation of AWS Bedrock
  • Implementation of AWS Bedrock Inference Profile
  • Implementation of AWS Sagemaker
  • AWS Services (Cloud) in General
  • Terraform

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