GenAI Solution Lead

COGNIZANT TECHNOLOGY SOLUTIONS ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 100,000 - 150,000; Full time

Job summary

A leading technology solutions provider in Singapore is seeking a GenAI Solution Lead responsible for overseeing Generative AI initiatives across the APAC region. This role requires strong technical expertise in full stack development and Generative AI, as well as excellent stakeholder management skills. The ideal candidate will demonstrate experience in leading software engineering projects and mentoring teams, ensuring adherence to ethical AI standards and quality assurance processes. The position offers an exciting opportunity to influence AI practices across diverse teams.

Qualifications

• Demonstrated experience in software engineering with Generative AI focus.
• Proficiency in Javascript, Typescript, or Python.
• Experience in a DevOps environment using Git workflows.

Responsibilities

• Lead technical design and development for Generative AI projects.
• Conduct architecture reviews for Generative AI solutions.
• Mentor teams on Generative AI practices across the organization.

Skills

Generative AI expertise

Full Stack development

Stakeholder management

DevOps culture

Software engineering

Coaching and mentoring

Education

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

Tools

Javascript

Typescript

Python

LLM frameworks (e.g. Langchain, Langgraph)

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.