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Commission Ai Agent Developer Jobs in Alabama (NOW HIRING)

... agent, and performance analytics tooling. * Create automated approval flows, ticket routing ... DevOps, IT Operations, or ITSM engineering. * 3+ years of experience with ServiceNow, Microsoft ...

New

... engineering solutions for critical U.S. Army programs, specializing in aviation and ground systems ... Deep knowledge about mechanics of building AI platform as a service, agent to agent orchestration ...

... engineering solutions for critical U.S. Army programs, specializing in aviation and ground systems ... Deep knowledge about mechanics of building AI platform as a service, agent to agent orchestration ...

$175K - $250K/yr

Improve delivery predictability, developer productivity, software quality, resiliency, scalability ... Stay current on industry advancements across models, agent orchestration, best practices and other ...

$175K - $250K/yr

Improve delivery predictability, developer productivity, software quality, resiliency, scalability ... Stay current on industry advancements across models, agent orchestration, best practices and other ...

Showing results 41-60

Commission Ai Agent Developer information

What is a Commission AI Agent Developer?

Commission AI Agent Developers are professionals who design, build, and deploy artificial intelligence (AI) agents that operate on a commission-based model. These developers create AI systems—such as chatbots, sales agents, or customer service bots—that help automate tasks and drive results, often earning a commission or fee based on the performance or outcomes generated by their agents. They typically possess skills in AI programming, machine learning, and automation, and work with clients to tailor solutions that meet specific business goals. The demand for Commission AI Agent Developers is growing as more businesses adopt AI-driven technologies to enhance productivity and sales. Their work often involves continuous optimization and monitoring to ensure the AI agents remain effective and profitable.

How does a Commission AI Agent Developer typically collaborate with sales and marketing teams to optimize agent performance?

As a Commission AI Agent Developer, you will frequently work alongside sales and marketing teams to tailor AI agents that effectively engage prospects and customers. This collaboration involves gathering feedback on agent interactions, analyzing performance metrics, and iterating on conversational scripts or algorithms to drive conversions. Regular meetings and data sharing ensure that the AI agents align with evolving business goals and customer preferences, making cross-functional communication a key aspect of the role. This dynamic environment allows you to see the direct impact of your work on sales outcomes while also fostering your own technical and business skills.

What are the key skills and qualifications needed to thrive as a Commission AI Agent Developer, and why are they important?

To thrive as a Commission AI Agent Developer, you need strong programming skills (often in Python), experience with machine learning frameworks, and a solid understanding of AI concepts, typically backed by a relevant degree or equivalent experience. Familiarity with AI development tools such as TensorFlow, PyTorch, and cloud platforms like AWS or Azure is commonly required. Exceptional problem-solving abilities, adaptability, and clear communication set candidates apart in this role. These skills are crucial for building effective AI agents that meet client needs and drive successful commission-based projects.

What is the difference between Commission Ai Agent Developer vs Chatbot Developer?

AspectCommission Ai Agent DeveloperChatbot Developer
Required CredentialsBachelor's in Computer Science, AI certificationsBachelor's in Computer Science, AI or software development certifications
Work EnvironmentAI development teams, financial or sales industriesCustomer service, tech companies, various industries
Employer & Industry UsageFinancial services, sales automationCustomer support, marketing, e-commerce
Comparison Search IntentUnderstanding AI-driven commission systemsBuilding conversational agents for customer interaction

The main difference is that Commission Ai Agent Developers focus on creating AI systems that automate commission calculations and sales processes, often within financial or sales industries. Chatbot Developers design conversational agents for customer support or engagement across various sectors. While both roles involve AI and programming skills, their applications and industry focus differ significantly.

What are the most commonly searched types of Ai Agent Developer jobs in Alabama?

The most popular types of Ai Agent Developer jobs in Alabama are:

What job categories do people searching Commission Ai Agent Developer jobs in Alabama look for?

The top searched job categories for Commission Ai Agent Developer jobs in Alabama are:

What cities in Alabama are hiring for Commission Ai Agent Developer jobs?

Cities in Alabama with the most Commission Ai Agent Developer job openings:

Full-time

Re-posted 14 days ago


Job description

COMPANY PROFILE
Diversified Gas & Oil Corporation ("DGOC") is a wholly-owned subsidiary of Diversified Energy Company PLC, a US-based company listed on the New York Stock Exchange (NYSE) and London Stock Exchange (LSE) under the ticker symbol "DEC". Diversified Gas & Oil Corporation (DGOC) is an established owner and operator of producing conventional and unconventional natural gas & oil wells and midstream pipelines and compression stations concentrated in the Appalachian Basin in the United States. Headquartered in Birmingham, AL, our field operations are located throughout the Appalachian Basin in the states of Tennessee, Kentucky, Virginia, West Virginia, Ohio, and Pennsylvania. In 2021, Diversified announced our expansion into our Central Regional Focus Area, which includes producing areas within Louisiana, Texas, Oklahoma, and Arkansas.
POSITION SUMMARY & RESPONSIBILITIES:
The Director of AI serves as the hands-on technical leader within our AI Enablement team, responsible for building, supporting, and hardening the AI solutions and platforms that power our enterprise portfolio. Reporting to the VP of AI Enablement, this is first and foremost a builder's role-spending the majority of the time designing and supporting AI solutions, resolving complex technical challenges, and evaluating emerging tools, while also coordinating delivery, managing partners, and enabling users. Working closely with the VP of AI-who leads strategy and executive engagement-this role turns strategy into reliable, working solutions.
Responsibilities:
  • Design, build, and support generative and agentic AI solutions using Microsoft Copilot, Copilot Studio, Azure AI Foundry, and the Power Platform.
  • Act as the technical problem-solver-diagnosing and resolving agent failures, workflow breakdowns, integration errors, and performance or accuracy issues.
  • Evaluate, pilot, and benchmark emerging AI tools and models, and recommend fit-for-purpose approaches.
  • Use Python and scripting for data preparation, automation, and rapid proof-of-concept development.
  • Establish technical standards for prompt engineering, agent configuration, and reusable frameworks.
  • Manage the promotion of solutions through Development, UAT, and Production environments, following DevOps and release-management best practices.
  • Translate business needs into technical solution approaches, integration points, and data dependencies, partnering with Data, IT, Infrastructure, and Cybersecurity teams on architecture, data sourcing, and deployment.
  • Support the transition of successful prototypes into scalable, governed, production-ready solutions and drive adoption across the organization.
  • Identify, engage, and get maximum value from external experts, vendors, and delivery partners-leveraging specialized expertise rather than building everything in-house.
  • Align partner workstreams to the roadmap, ensure adherence to architecture, security, and governance standards, and manage cost-to-value outcomes across vendor engagements.
  • Help keep active AI initiatives on track alongside our PMO/BPA functions, and surface risks and resourcing needs early to the VP of AI Enablement.
  • Provide training and hands-on support on the AI tools and solutions this role builds, and create practical documentation and standard operating procedures (SOPs) so solutions can be used and maintained reliably.
  • Support business champions (e.g., the AI SWAT Team) and help build AI fluency across the organization.

POSITION REQUIREMENTS:
  • 5+ years of experience in software development, automation, IT solutions, analytics, or a related technical field.
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical field strongly preferred, or an equivalent combination of education and experience.
  • Hands-on experience with the Microsoft ecosystem-Azure, Microsoft 365, and the Power Platform.
  • Practical experience building automations and workflows with Power Automate (cloud and/or desktop flows).
  • Experience deploying, integrating, or managing solutions in Azure (e.g., functions, storage, identity, or AI services).
  • DevOps experience promoting products through Development, UAT, and Production environments, including release management and deployment pipelines.
  • Working knowledge of Python for automation, data processing, and prototyping.
  • Hands-on experience with Copilot Studio, Azure AI Foundry, or building AI agents, with familiarity in large language models, prompt engineering, and agent orchestration.
  • Strong troubleshooting and debugging skills across applications, workflows, integrations, and data pipelines.
  • Experience managing vendors or delivery partners, including balancing cost against value delivered.
  • Ability to explain technical concepts clearly through training, documentation, and hands-on support, and to coordinate multiple projects and partners while keeping delivery on track.
  • Strong communication skills and comfort working with both technical teams and business stakeholders.

Requested Skills, Knowledge, and Abilities:
Microsoft Copilot, Copilot Studio, Azure AI Foundry, Microsoft Power Platform, Power Automate, Microsoft Azure, Microsoft 365, Python, Large Language Models, Prompt Engineering, Agent Orchestration, DevOps / CI-CD, Dev-UAT-Prod Release Management, Snowflake, Model Context Protocol (MCP), Unstructured-to-Structured Data (OCR / Document Intelligence), AI Governance, Problem Solving, Troubleshooting, Vendor & Partner Management, Cost-to-Value Analysis, Consultative / Advisory Experience, Training & Enablement, Technical Documentation, Multi-tasking, Coordination, Technical Zeal.
Office Physical Requirements and Working Conditions:
  • Prolonged periods working at a desk in front of a computer.

Additional Requirements:
  • Must be able to lift up to 15 pounds at a time.