AI Solutions Engineer, GenAI Applications, Global Business Consulting

Benefits

Parental leave

18 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

18 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

AI Solutions Engineer, GenAI Applications, Global Business Consulting Singapore We are seeking an AI Solutions Engineer with a passion for Generative AI to contribute to the development and operationalization of our Generative AI solution. This full-stack solution will be built directly upon Google Play Partnerships' critical data assets and integrated into our core business consultation workflows. In this role, you will have an opportunity to work closely with mobile games and apps developers, translating data into innovative AI-driven products that directly enable the growth of their businesses. Design, build and maintain secure data pipelines Extract, Transform, Load (ETL) required for GenAI and ML models, integrate and prepare various datasets for model training and serving. Implement components of full-stack Generative AI applications, focusing on data-centric techniques such as RAG and Fine-tuning. Develop and maintain Large Language Models (LLM)-based agents, including configuring RAG workflows and utilizing advanced prompt engineering techniques like Multi-hop Chain of Thought Prompting (MCP). Adhere to MLOps standard procedures for deploying, monitoring, and maintaining Generative AI models and data systems in production environments, ensuring performance and reliability. Collaborate with data scientists, consultants, and business stakeholders to implement production-ready solutions. Minimum qualifications: Bachelor's degree or equivalent practical experience. 3 years of experience troubleshooting technical issues for internal/external partners or customers. Experience in either system design or reading code (e.g., Java, C++, Python). Preferred qualifications: 6 years of experience writing and maintaining ETL pipelines operating on a variety of structured and unstructured data sources. Experience applying Generative AI technologies to enterprise-scale

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