Job Description & How to Apply Below
Job Summary
The Applied AI Developer is responsible for the design, development, deployment, and ongoing improvement of internal AI-powered tools and agents used across the organization. This role focuses on applying artificial intelligence in practical, secure, and scalable ways to support product development, manufacturing, technical support, customer service, IT, and other business functions. In addition to hands-on development, the Applied AI Developer plays a key role in identifying opportunities for AI adoption, ensuring responsible and governed use of AI technologies, maintaining visibility into the costs and scalability of AI solutions, and enabling teams to use AI tools effectively through training and documentation.
Responsibilities
AI Tool and Agent Development:
Design, develop, and maintain internal AI agents and applications that enhance productivity, decision-making, and operational efficiency across multiple business units.
AI Tool and Agent Development:
Integrate AI solutions with existing internal systems, data sources, and workflows.
AI Tool and Agent Development:
Prototype, test, deploy, and iteratively improve AI tools based on user feedback and evolving requirements.
AI Tool and Agent Development:
Ensure AI solutions are reliable, maintainable, and scalable for organization-wide use.
Business Enablement and Opportunity Identification:
Work with stakeholders across the organization to identify and assess areas where AI can be effectively applied.
Business Enablement and Opportunity Identification:
Translate business needs and operational challenges into practical AI-driven solutions.
Business Enablement and Opportunity Identification:
Prioritize initiatives based on value, feasibility, risk, and long-term sustainability.
AI Governance, Guardrails, and Responsible Use:
Implement appropriate AI guardrails, including data access controls, usage policies, and prompt or model constraints.
AI Governance, Guardrails, and Responsible Use:
Ensure AI solutions align with internal security, privacy, and compliance requirements.
AI Governance, Guardrails, and Responsible Use:
Collaborate closely with internal IT and Cybersecurity teams to design, review, and deploy AI solutions that meet infrastructure, security, and risk management standards.
AI Governance, Guardrails, and Responsible Use:
Incorporate cybersecurity best practices into AI system architecture, data handling, access controls, and lifecycle management.
AI Governance, Guardrails, and Responsible Use:
Monitor deployed AI tools for accuracy, reliability, bias, and unintended behavior.
AI Governance, Guardrails, and Responsible Use:
Support the development and adoption of internal standards and best practices for responsible AI use.
Research and Technology Evaluation:
Research emerging AI technologies, models, frameworks, and tools relevant to internal business use.
Research and Technology Evaluation:
Evaluate and recommend AI platforms, services, and vendors based on capability, security, cost, and maintainability.
Research and Technology Evaluation:
Balance innovation with operational stability and long-term support considerations.
Cost Management and Forecasting:
Track and analyze costs associated with AI tools and platforms, including usage-based services, infrastructure, and third-party solutions.
Cost Management and Forecasting:
Derive AI focused metrics and KPIs.
Cost Management and Forecasting:
Monitor AI usage patterns and metrics to identify trends that may impact cost or scalability.
Cost Management and Forecasting:
Forecast AI-related costs to support budgeting, planning, and growth initiatives.
Cost Management and Forecasting:
Design AI solutions with cost efficiency in mind, balancing performance, capability, and operational expense.
Cost Management and Forecasting:
Collaborate with IT, finance, and leadership teams to provide transparency into AI-related costs and scaling implications.
Training, Documentation, and Enablement:
Develop and maintain clear, accurate documentation for internal AI tools, including usage guidelines, limitations, and best practices.
Training, Documentation, and Enablement:
Create training materials and deliver training sessions to support effective adoption of AI tools across teams.
Training, Documentation, and Enablement:
Provide ongoing guidance and support to users as tools evolve or new capabilities are introduced.
Training, Documentation, and Enablement:
Ensure teams understand appropriate use, guardrails, and expectations when working with AI-enabled solutions.
Advocacy and Organizational Support:
Act as an internal advocate for effective and responsible AI adoption.
Advocacy and…
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×