Artificial Intelligence Engineer – Artificial Inteligence Solutions & Automation
Willis Towers Watson (WTW) (company site, opens in a new tab)5+ yrsMumbaiOn-siteDirect career pageEst. 18–35 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Identify and develop AI solutions across Captive and Insurance Management Solutions (CIMS) to improve operational efficiency and business value.
- Design, implement, and scale production-ready AI-enabled solutions using technologies like Generative AI, LLMs, RAG, automation, APIs, and enterprise platforms.
- Collaborate with business and technical stakeholders to translate requirements into scalable, secure, and responsible AI solutions and measure impact using efficiency and quality metrics.
Minimum Requirements
- Bachelor’s or master’s degree in computer science, engineering, or related field, or equivalent practical experience.
- Typically 5+ years of hands-on experience in AI engineering, software engineering, generative AI, automation, or related roles, including delivery from concept to production.
- Strong technical skills in Python, APIs, enterprise application integration, and understanding of Generative AI, LLMs, prompt engineering, RAG, and AI agents.
- Work Experience Required: Typically 5+ years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in taking AI pilots and prototypes to production and scaling them across teams or geographies, preferably within regulated sectors like insurance or financial services.
- Technical proficiency in Microsoft AI and automation technologies (e.g., Azure AI, Copilot Studio, Power Platform) and cloud or enterprise AI platforms.
- Able to navigate ambiguous business problems to create practical, scalable AI solutions balancing usability, security, and responsible AI considerations.