EROAD
AI Technical Specialist
₹ Check with seller / month
✓ Actively Hiring
📍 Albany
💼 Full Time
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⚡ Direct Apply — No Agent
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Job at a Glance
- Category
- IT Engineer & Developer
- Location
- Albany, Auckland, New Zealand
- Salary
- Check with seller
- Job Type
- Full Time
- Company
- EROAD
- Status
- Open & Active
Job Description
AI Platform Ownership & Development
Lead the configuration, development, and lifecycle management of AI platforms such as DevRev and Copilot Studio.
Build and maintain AI-powered workflows, bots, and automation solutions.
Integrate AI capabilities into enterprise systems like Salesforce, Epicor, and Microsoft 365 to enhance business processes.
Own documentation, governance, and performance monitoring of AI tools.
Strategic Enablement & Innovation
Actively explore and prototype new AI capabilities aligned with business needs.
Partner with business stakeholders and business analysts to identify opportunities for AI-driven transformation.
Promote AI literacy across the organization through enablement, demos, and training.
Learning & Growth
Stay current with AI trends, tools, and frameworks.
Share learnings with the team and contribute to internal knowledge bases.
Demonstrate a proactive approach to skill development and career progression.
COMPETENCIES
Hunger for knowledge and self-driven learning
Strong curiosity about AI and emerging technologies
Ability to work independently and take initiative
Effective communicator with technical and non-technical audiences
Detail-oriented and committed to quality
Strategic thinker with a bias for action
SKILLS & REQUIRED EXPERIENCE
Hands-on experience with AI tools (e.g., Copilot Studio, Power Platform, DevRev, LLMs)
Familiarity with scripting languages (e.g., Python, JavaScript)
Exposure to cloud platforms (e.g., Azure, AWS)
Ability to apply AI tools within business systems to enhance workflows and insights
Strong documentation and organizational skills
1–3 years in a technical development or systems administration role
Demonstrated interest in AI through personal projects, blogs, or certification
Experience working in cross-functional teams
Experience with enterprise platforms like Salesforce, Epicor, or Microsoft 365
Familiarity with prompt engineering or chatbot development
Understanding of data governance and automation principles
Lead the configuration, development, and lifecycle management of AI platforms such as DevRev and Copilot Studio.
Build and maintain AI-powered workflows, bots, and automation solutions.
Integrate AI capabilities into enterprise systems like Salesforce, Epicor, and Microsoft 365 to enhance business processes.
Own documentation, governance, and performance monitoring of AI tools.
Strategic Enablement & Innovation
Actively explore and prototype new AI capabilities aligned with business needs.
Partner with business stakeholders and business analysts to identify opportunities for AI-driven transformation.
Promote AI literacy across the organization through enablement, demos, and training.
Learning & Growth
Stay current with AI trends, tools, and frameworks.
Share learnings with the team and contribute to internal knowledge bases.
Demonstrate a proactive approach to skill development and career progression.
COMPETENCIES
Hunger for knowledge and self-driven learning
Strong curiosity about AI and emerging technologies
Ability to work independently and take initiative
Effective communicator with technical and non-technical audiences
Detail-oriented and committed to quality
Strategic thinker with a bias for action
SKILLS & REQUIRED EXPERIENCE
Hands-on experience with AI tools (e.g., Copilot Studio, Power Platform, DevRev, LLMs)
Familiarity with scripting languages (e.g., Python, JavaScript)
Exposure to cloud platforms (e.g., Azure, AWS)
Ability to apply AI tools within business systems to enhance workflows and insights
Strong documentation and organizational skills
1–3 years in a technical development or systems administration role
Demonstrated interest in AI through personal projects, blogs, or certification
Experience working in cross-functional teams
Experience with enterprise platforms like Salesforce, Epicor, or Microsoft 365
Familiarity with prompt engineering or chatbot development
Understanding of data governance and automation principles
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