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Ai Implementation Jobs in Montgomery, AL (NOW HIRING)

Empower AI Inc.

Cloud Engineer

Montgomery, AL · Hybrid

$55.25 - $73.75/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... Implement Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, Azure Bicep, or ...

Empower AI Inc.

Cloud Engineer

Montgomery, AL · Hybrid

$55.25 - $73.75/hr

Overview Empower AI is AI for government. Empower AI gives federal agency leaders the tools to ... Implement Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, Azure Bicep, or ...

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All JobsAi Implementation JobsAi Implementation Jobs in Montgomery, AL

Ai Implementation information

See Montgomery, AL salary details

$38.6K

$102.4K

$166.2K

How much do ai implementation jobs pay per year?

As of Sep 8, 2026, the average yearly pay for ai implementation in Montgomery, AL is $102,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $119,700.00 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 are popular job titles related to Ai Implementation jobs in Montgomery, AL?

For Ai Implementation jobs in Montgomery, AL, the most frequently searched job titles are:

What job categories do people searching Ai Implementation jobs in Montgomery, AL look for?

The top searched job categories for Ai Implementation jobs in Montgomery, AL are:

What cities near Montgomery, AL are hiring for Ai Implementation jobs?

Cities near Montgomery, AL with the most Ai Implementation job openings:

Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in Montgomery, AL as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $102,401 per year, or $49.2 per hour.

AI Engineer, Principal

Gainwell Technologies

Montgomery, AL • On-site

$137K - $196K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 6 days ago

Gainwell Technologies rating

7.9

Company rating: 7.9 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

130th of 247 rated software companies

Job description

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities.
Summary
Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including Generative AI (GenAI), across our healthcare technology platforms. This role involves building and optimizing AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards.
Your role in our mission
  • AI Model Development - Design, build, and train machine learning and deep learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications.
  • End-to-End AI Solution Deployment - Develop, test, and deploy AI solutions in cloud and on-premise environments, ensuring reliability, scalability, and real-world impact.
  • Data Engineering & Processing - Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.
  • System Integration - Implement and optimize AI models within Gainwell's existing technology stack, collaborating with software engineers to ensure seamless integration.
  • Performance Optimization - Continuously monitor, refine, and optimize AI models for accuracy, efficiency, and speed, leveraging MLOps best practices.
  • AI Research & Innovation - Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness.
  • Compliance & Security - Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.
  • Automation & Workflow Enhancement - Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.

What we're looking for
  • Advanced Education: Master's or Ph.D. in Computer Science, AI, Data Science, or a related field.
  • Extensive AI/ML Experience: 5+ years in AI/ML engineering, including hands-on work with GenAI, NLP, deep learning, and computer vision.
  • Technical Proficiency: Strong coding skills in Python and frameworks like TensorFlow and PyTorch; experienced with LLMs (e.g., GPT, Gemini, Claude) including prompt engineering and optimization.
  • Scalable Deployment Skills: Familiar with cloud platforms (AWS, Azure, GCP), MLOps practices, and big data tools (Spark, Hadoop, SQL/NoSQL).
  • Domain Knowledge: Strong problem-solving abilities with a plus for experience in healthcare AI and understanding of regulatory standards like HIPAA and CMS.
  • Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency.
  • Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks.
  • Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.

What you should expect in this role
  • Fully Remote Opportunity - Work from anywhere in the U.S.
  • Minimal Travel Required - Occasional travel opportunities (0-10%).
  • Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.
  • Video cameras must be used during all interviews, as well as during the initial week of orientation.
  • The deadline to submit applications for this posting is September 28, 2026.
    #LI-GD1
    #LI-REMOTE

The pay range for this position is $137,600.00 - $196,500.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You'll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities.
We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You'll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings.
Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines "wages" and "wage rates" to include "all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.

What Gainwell Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Gainwell Technologies

Sourced by ZipRecruiter

With Health and Cost outcomes that pierce Inequities and Impact Economies, the success of our Nation’s Federal Medicaid program is inextricably tied to the Prosperity of Communities, States and the Nation as a whole. We think that deserves Respect and a Commitment from Innovators who can help those who operate within and around health and human services evolve to meet their goals. At Gainwell, that’s our Sole focus. Built across more than Five Decades, Gainwell has intentionally seized opportunities to advance its digitally enabled services to meet Agencies, Health plans and MCOs where they are on their modernization journeys and propel them into the future of Healthcare. Equally important to our Expanding Technologies and Results. We bring ideas that bring policies to life.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Irving, TX, US

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