Artificial Intelligence Engineer – Artificial Inteligence Solutions & Automation
Willis Towers Watson24 hours ago
Mumbai, IndiaSenior
Responsibilities
- Understand business processes, pain points, and existing AI use cases to identify opportunities for measurable value.
- Assess AI solutions and pilots and recommend approaches to improve, integrate, and scale them.
- Design, develop, and implement AI-enabled solutions using pro-code, low-code, and enterprise-approved technologies.
- Build and integrate solutions involving Generative AI, LLMs, RAG, AI agents, automation, APIs, and enterprise platforms.
- Translate business requirements into practical technical solutions while balancing usability, scalability, security, data privacy, and responsible AI considerations.
- Collaborate with Technology, business SMEs, AI governance, and other stakeholders from assessment and prototyping through implementation and adoption.
- Create reusable solution patterns for CIMS processes and global operations.
- Measure solution impact through efficiency, turnaround time, quality, adoption, and capacity metrics.
- Monitor emerging AI capabilities and recommend technologies that address business needs.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, or a related field, or equivalent practical experience.
- Typically 5+ years of experience in AI engineering, software engineering, Generative AI, automation, or related technology roles.
- Hands-on experience developing or implementing AI-enabled solutions from concept or pilot through production is preferred.
- Strong understanding of Generative AI, LLM applications, prompt engineering, RAG, AI agents, and/or intelligent automation.
- Experience with Python or other relevant programming technologies, APIs, and enterprise application integration.
- Experience with cloud or enterprise AI platforms and familiarity with low-code/no-code AI and automation platforms is desirable.
- Ability to evaluate technology options and translate ambiguous business problems into practical solutions.
- Strong communication and stakeholder-management skills with technical and non-technical stakeholders.
- Preferred experience includes insurance, financial services, or another regulated environment.
- Preferred experience includes Azure AI, Copilot Studio, Power Platform, business application and data-source integrations, and scaling AI pilots across teams, processes, or geographies.
Benefits
- Opportunity to work on practical AI use cases within a global organization and move capabilities from experimentation to scalable business solutions.
- Global collaboration, AI upskilling, and professional development opportunities.
- Application, interview, and workplace adjustments and accommodations are available to applicants.
Tech Stack
Categories
About Willis Towers Watson
WTW is a global advisory, broking, and software firm serving employers, insurers, and institutional clients across people, risk, and capital. It provides insurance brokerage and risk advisory, employee benefits and pensions consulting, and HR/benefits administration software and analytics. Headquartered in London and listed on NASDAQ (WTW), the company was formed in 2016 via the Willis Group–Towers Watson merger and operates in roughly 140 markets worldwide.