GenAI Solution Lead

Cognizant Technology Solutions Asia Pacific Pte Ltd; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A global technology leader in Singapore is looking for a GenAI Solution Lead. This role is pivotal in leading the Generative AI initiatives across APAC, focusing on technical leadership and product engineering. Ideal candidates should possess strong expertise in software engineering and Generative AI, and proficiency in relevant programming languages. The role requires leading diverse teams, managing end-to-end project deliveries, and advocating for ethical AI practices. Competitive benefits and opportunities for professional growth are provided.

Qualifications

• Demonstrated ability in software engineering with a focus on Generative AI.
• Proficiency in at least one programming language (JavaScript, TypeScript, or Python).
• Experience in applying Git-based workflows and CI/CD practices.

Responsibilities

• Lead audits of vendor-developed Generative AI solutions.
• Advocate for Responsible and Ethical Generative AI practices.
• Own end-to-end solution delivery with high-quality outcomes.

Skills

Technical leadership

Generative AI expertise

Stakeholder management

Quality assurance

Mentoring and coaching

Education

Tertiary education in Computer Science, Data Science, Information Systems or IT

Tools

JavaScript

TypeScript

Python

LLM frameworks (e.g., Langchain, Langgraph)

DevOps tools

Job description

Job Summary

We are currently seeking a GenAI Solution Lead to join our team. This role is responsible for leading the Generative AI scene within APAC and blends technical leadership (60%) with product engineering (40%), requiring deep full stack and Generative AI expertise, stakeholder management, and a steadfast focus on quality, compliance, and scalability.

Responsibilities

Technical Leadership (60%)

• Regular audit of vendor-developed Generative AI solution for their architecture feasibility, code quality, scalability, and security.
• Guide technical design and development processes to ensure adherence to Responsible and Ethical Generative AI principles and Generative AI engineering best practices (e.g. prompt engineering standards and testing framework).
• Conduct architecture review and analysis ranging from solution to code level for current and new Generative AI and/or Full Stack solutions.
• Contribute to the global and regional engineering standards, tools and frameworks relating to Generative AI and/or Full Stack engineering, partnering with other engineering leaders to integrate these standards into the software development and delivery processes.
• Develop and implement Generative AI-specific quality assurance processes and report QA metrics to business and technical stakeholders on a periodic basis.

Product Engineering (40%)

• Play the role of "Lead Generative AI Coach" to advocate for "Responsible and Ethical Generative AI" design within the regional product teams (across the enterprise), and mentor and train multi-functional teams on Generative AI practices, including prompt engineering and risk mitigation strategies.
• Influence vendor selection strategy for Generative AI capabilities to ensure the best technology partners, solutions and innovations are brought into the organization.
• Own end-to-end solution delivery, ensuring on-time, high-quality outcomes with risk mitigation plans.
• Stay on top of the newest technology trends in AI/ML and full stack development, applying these insights to push the boundaries of our practices and processes.

Requirements

• Tertiary education in fields such as Computer Science, Data Science, Information Systems, or Information Technology is preferred. Background in AI/ML/DS through coursework, specialization, postgraduate studies, or executive education is considered a valuable addition.
• Demonstrated ability in software engineering, with emphasis on Generative AI initiatives ranging from using LLM APIs, conduct prompt engineering and set up LLM operations.
• Proficiency in either Javascript, Typescript (or Python) and LLM frameworks (e.g. Langchain, Langgraph, etc).
• Proficient in working within a DevOps culture, applying Git-based workflows and performing code reviews alongside CI/CD pipeline evaluations for seamless integration and deployment.
• Proven track record managing software engineering projects, and ability to lead diverse teams and collaborate effectively across different functions.
• Experience contributing to discussions about new standards and revisions to existing ones.
• Experience in mentoring, coaching, and guiding other technology professionals.
• Certifications in Cloud Architecture (E.g. AWS or Azure) and SCRUM Mastering (CSM/PSM) will be advantageous but not required.