ఉద్యోగ వివరణ

About the Role

We are looking for a skilled AI Tools & Enablement Specialist with between 3 and over 11 years of professional experience to lead the integration, adoption, and operational use of AI technologies within business and technical teams. The candidate will have in-depth, hands-on knowledge with major enterprise AI platforms, productivity-enhancing AI tools, low-code automation software, data science environments, and API-based AI integrations, supporting organizational transformation through AI-enabled innovations.

Key Responsibilities

Champion the enterprise-wide adoption of AI platforms aligned with organizational needs.
Assess, customize, and deploy AI solutions that cater to various business objectives.
Facilitate AI exploration, prototyping, and the rapid development of AI-powered applications.
Design AI-driven workflows and automation systems to enhance productivity.
Produce enablement resources, guidelines, and best practices for AI platform utilization.
Collaborate closely with business units, data scientists, and engineering teams to uncover and implement AI use cases.
Manage configurations for AI assistants, AI copilots, and generative AI solutions within the enterprise.
Integrate AI functions seamlessly with business applications through APIs and automation frameworks.
Support the establishment of governance frameworks ensuring secure and responsible AI adoption.
Track usage metrics, adoption rates and assess the impact of AI tools on business outcomes.
Deliver training and mentoring to users to maximize AI tool proficiency.

Required Qualifications and Skills

Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Software Engineering, or a related discipline.
Minimum 3 years and up to 11+ years of experience in areas such as AI enablement, automation, analytics, software development, digital transformation, or technology consultancy.
Hands-on experience with AI and data science platforms like Dataiku, Databricks, or Vertex AI Workbench supporting data analytics and machine learning workflows.
Proficiency with AI/ML development environments and collaborative data science platforms.
Experience in using generative AI tools such as Claude, ChatGPT Enterprise, or Gemini for enterprise productivity applications.
Familiarity with prompt engineering and best practices for deploying AI assistants and generative AI in business processes.
Knowledge of low-code platforms such as Microsoft Power Platform or Appian for workflow automation and application development.
Capability to design AI-enhanced automation solutions using low-code tools.
Strong understanding of API integration techniques including REST APIs and authentication methods to connect AI capabilities with enterprise software.
Excellent communication and stakeholder management skills, with ability to translate business requirements into AI-driven solutions.

Preferred Experience

Track record of implementing AI adoption programs in enterprise environments.
Understanding of AI governance, security, and ethical AI best practices.
Experience working with AI cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
Familiarity with process optimization and digital transformation projects leveraging automation.
Skilled in developing training programs and user enablement materials focused on AI technologies.

Technical Ecosystem

AI & Data Platforms: Dataiku, Databricks, Vertex AI Workbench
Generative AI Tools: Claude, ChatGPT Enterprise, Gemini
Automation Platforms: Microsoft Power Platform, Appian
Integration: REST APIs and related AI service integrations
Enterprise AI practices including governance, responsible AI use, and process transformation

AI Tools & Enablement Specialist

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