AI Solutions Engineering & Transformation Manager
Morningstar, Inc. (company site, opens in a new tab)8–12 yrsMumbaiOn-siteDirect career pageEst. 25–45 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Serve as internal AI advisor and solution architect to translate AI use-case ideas into prototypes and production-ready implementations.
- Lead design and hands-on development of AI solutions including prototype and MVP delivery, coordinating across business sponsors and technology teams.
- Embed responsible AI governance throughout solution lifecycle ensuring measurable business impact and alignment with enterprise standards.
Minimum Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related quantitative/technical field required; MBA or AI/ML advanced education preferred.
- 8–12 years professional experience in AI solution engineering, transformation, consulting or related; minimum 3 years focused on AI, analytics, automation for business workflows.
- Demonstrated hands-on experience building AI prototypes, MVPs, automations, or workflow applications using Python, APIs, cloud AI services, or low-code platforms.
- Work Experience Required: 8–12 years with at least 3 years in AI-driven solution initiatives; Preferred: experience in GCC, financial services or consulting.
Ideal Candidate Profile
- Experienced in translating ambiguous AI concepts into defined, measurable business use cases and practical technical solutions.
- Strong technical fluency across AI platforms, cloud services, prompt engineering, and solution architecture with hands-on development capability.
- Skilled in stakeholder management, cross-functional collaboration, and embedding responsible AI principles into enterprise-grade deployments.