What are the responsibilities and job description for the AI Partner AI Consultant position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Centraprise Corp, is seeking the following. Apply via Dice today!
Must Have Technical/Functional Skills
ü Strong experience in AI, Machine Learning, and Applied Data Science
ü Hands on expertise in LLMs / Generative AI / NLP / Deep Learning / Predictive Analytics
ü Experience in designing and deploying AI solutions on cloud platforms (Azure preferred)
ü Solid understanding of MLOps, model lifecycle management, monitoring, and governance
ü Experience with Agentic AI architectures and end to end AI solution design
ü Knowledge of Responsible AI, data privacy, security, and compliance
ü Ability to rapidly build prototypes / PoCs and demonstrate business value
ü Preferred industry exposure: Manufacturing, Supply Chain, Retail (nice to have)
ü Certifications preferred:
Must Have Technical/Functional Skills
ü Strong experience in AI, Machine Learning, and Applied Data Science
ü Hands on expertise in LLMs / Generative AI / NLP / Deep Learning / Predictive Analytics
ü Experience in designing and deploying AI solutions on cloud platforms (Azure preferred)
ü Solid understanding of MLOps, model lifecycle management, monitoring, and governance
ü Experience with Agentic AI architectures and end to end AI solution design
ü Knowledge of Responsible AI, data privacy, security, and compliance
ü Ability to rapidly build prototypes / PoCs and demonstrate business value
ü Preferred industry exposure: Manufacturing, Supply Chain, Retail (nice to have)
ü Certifications preferred:
- Azure AI Engineer
- Azure Data Scientist
- Equivalent AI / ML certifications
- Engage with customers to identify AI opportunities and translate business problems into scalable AI solutions
- Lead AI discovery workshops, advisory sessions, and Proof of Concepts
- Architect end to end AI / Agentic AI solutions including:
- Data ingestion
- Model development & evaluation
- Deployment, monitoring, and governance
- Collaborate with Data Engineering, Cloud, Application Development, and Industry SMEs
- Provide AI thought leadership, best practices, and solution guidance
- Review AI solution architectures to ensure quality, scalability, and compliance
- Develop reusable AI assets, accelerators, and reference architectures
- Mentor and guide junior AI engineers and delivery teams
- Support AI capability scale up across manufacturing and cross industry portfolios
- Strong stakeholder management and customer engagement skills
- Ability to lead solution discussions with senior business and technology leaders
- Excellent communication, presentation, and storytelling skills
- Mentoring and technical leadership capabilities
- Problem solving mindset with rapid execution focus