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Ai Implementation Jobs in Lancaster, TX (NOW HIRING)

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Leading teams in the development of scalable machine learning models and solutions - Managing ...

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Leading teams in the development of scalable machine learning models and solutions - Managing ...

... Implementing agentic workflows, orchestration patterns, and human-in-the-loop controls - Applying ... AI, data quality, and auditability requirements - Collaborating with stakeholders to identify ...

Implement mitigation strategies for identified risks. * For analytics projects, develop project ... Experience in AI/ML and GenAI/LLM/Agentic AI implementation. * Strong experience in solution ...

Job Summary (List Format): - 3 to 4 years of experience in production-grade Generative AI (GenAI) and Conversational AI implementations - Proficient in React, TypeScript, and/or Go programming ...

Implement mitigation strategies for identified risks. • For analytics projects, develop project ... We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of ...

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Ai Implementation information

See Lancaster, TX salary details

$37K

$98.1K

$159.3K

How much do ai implementation jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai implementation in Lancaster, TX is $98,137.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,600.00 and $114,700.00 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 Lancaster, TX look for?

The top searched job categories for Ai Implementation jobs in Lancaster, TX are:

What cities near Lancaster, TX are hiring for Ai Implementation jobs?

Cities near Lancaster, TX with the most Ai Implementation job openings:

Infographic showing various Ai Implementation job openings in Lancaster, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $98,137 per year, or $47.2 per hour.

AI Implementation & Enablement Manager

M Financial Group

Dallas, TX • On-site, Remote

Full-time

Re-posted 12 days ago


Job description

 

M Financial Group:  

With more than 140 Member Firms located primarily across the United States, M Financial is one of the nation's leading financial services design and distribution companies. Since 1978, our network of independent insurance, investment, and executive benefit firms has served the needs of ultra-affluent individuals, corporate executives, successful entrepreneurs, and Fortune 1000 companies. Our Member Firms are independent but work together toward a common goal: to offer a broad range of sustainable solutions designed to help their clients meet their financial goals.

 

Role Summary

The AI Enablement Lead serves as M Financial's primary catalyst for practical AI adoption. This role identifies high-friction workflows, redesigns them with AI capabilities, and drives measurable improvements in productivity and experience for employees and Member Firms. Acting as the organization's central point of contact for AI implementation and enablement, the AI Enablement Lead partners with business stakeholders, technology teams, and leadership to build confidence, demonstrate impact, and embed AI into how work gets done, not just how tasks are completed. 

AI adoption doesn't happen through access alone. This role closes the gap between AI availability and AI impact by redesigning workflows, building organizational confidence, and delivering measurable productivity gains across M Financial and its Member Firms. 

 

Responsibilities: 

  • Identify high-friction workflows and lead the redesign of those processes to embed AI where it creates the most value 
  • Design, test, and deploy AI-enabled solutions that improve speed, accuracy, and user experience 
  • Partner with business teams to understand needs and align solutions to measurable outcomes 
  • Act as a bridge between business stakeholders and AI/technology capabilities 
  • Manage and report on the AI use case portfolio, including business case development, prioritization frameworks, and executive-level impact reporting 
  • Develop repeatable playbooks for common use cases (e.g., summarization, drafting, analysis, workflow support) 
  • Build and sustain an internal network of AI champions across business units and Member Firms to scale adoption beyond direct engagement 
  • Lead change management efforts that address adoption barriers, build user confidence, and reinforce new ways of working 
  • Serve as the organization's AI evangelist, making AI approachable and visible through regular communication, demos, and success stories 
  • Drive adoption by making AI practical and embedded into daily workflows 
  • Track and report on impact including time savings, productivity improvements, and quality gains 
  • Design and deliver role-based enablement programs, including workshops, playbooks, and self-service resources tailored to different levels of AI fluency 
  • Partner with legal, risk, compliance, HR, and security teams to address adoption barriers and ensure AI initiatives meet regulatory and workforce requirements 
  • Stay current on emerging AI capabilities, including agentic AI, workflow automation, and intelligent document processing, and evaluate their applicability to M Financial's operations and Member Firm need 

Qualifications: 

  • 3-6 years of experience in operations, technology, consulting, or business analysis 
  • Demonstrated ability to improve processes, workflows, or user experience leveraging AI 
  • Familiarity with AI solution categories beyond conversational AI, including agentic workflows, intelligent automation, and document intelligence 
  • Strong problem-solving skills with a bias toward action and execution 
  • Ability to translate business needs into clear, practical solutions 
  • Experience using modern AI tools (e.g., Microsoft Copilot, Claude, ChatGPT, or similar platforms),  
  • Experience turning complex, repeatable business tasks into AI-supported workflows that can plan the work, complete steps, check results, and improve over time. 
  • Experience building or contributing to business cases for technology investments 
  • Experience with change management methodologies or organizational adoption programs 
  • Experience designing or delivering training, workshops, or enablement content for varied audiences 
  • Strong communication and collaboration skills; ability to influence across functions 
  • High level of curiosity, ownership, and accountability 

Job Conditions & Environment:  

  • This position is based on-site at our offices in Uptown at the Quad in Dallas, TX with the flexibility to work one day per week remotely 
  • Normal office environment/desk assignment 
  • Regularly operates a computer and other standard office equipment to perform essential job functions, such as data entry, document preparation, and electronic communication 

This position description is not intended to be and should not be construed as an all-inclusive list of responsibilities, skills or working conditions associated with this position. While this description is intended to accurately reflect the position’s activities and requirements, management reserves the right to modify, add or remove duties as necessary.  

M Financial is proud to be an equal opportunity workplace.

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