- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 1 day ago
- Work mode
- In office
- Eligibility
- Candidates must be Singapore Citizens due to project and client security clearance requirements.
- Resume
- Required to apply
Where you'll work
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Job description
Role Overview
We seek a dedicated and highly skilled AI engineering leader to oversee the AI engineering discipline at the team or program level. This position entails steering the design and deployment of generative AI solutions, shaping the technical strategy for one or more teams, and maintaining superior engineering standards. The role requires leading a compact team of engineers, collaborating with product and business stakeholders, and serving as a reliable technical advisor.
Note: Singapore Citizenship is mandatory for this position due to client security clearance requirements.
Key Responsibilities
- Lead a multidisciplinary team comprising software engineers, data scientists, and specialists to deliver generative AI solutions.
- Steer the architectural design and rollout of AI systems that are scalable, dependable, and production-ready.
- Drive technical decisions ensuring performance optimization, cost efficiency, and maintainability of AI implementations.
- Work closely with product owners, designers, and other stakeholders to align AI initiatives with business objectives.
- Implement and promote best AI engineering practices including testing protocols, usage guardrails, responsible AI principles, system monitoring, and documentation.
- Foster team growth by sharing expertise, enabling both subject matter experts and generalists to effectively contribute.
- Offer architectural oversight, balancing innovation with practical delivery within safe and manageable cycles.
- Conduct design and code reviews to uphold quality and consistency across AI-enabled features.
- Optimize generative AI applications to enhance accuracy, performance, cost management, and determine when model tuning is necessary.
Technical Qualifications
- Advanced proficiency in Python alongside modern software engineering methodologies such as CI/CD, automated testing, version control, and ensuring system reliability.
- Demonstrated experience designing and integrating comprehensive AI solutions that ensure scalability, maintainability, and high performance.
- In-depth knowledge of generative AI technologies and agentic frameworks with leadership experience guiding teams on their efficient application.
- Expertise in constructing and expanding Retrieval-Augmented Generation (RAG) pipelines and integrating vector databases into live systems.
- Practical experience deploying AI workflows on major cloud infrastructures using containerization and CI/CD pipelines to maintain reproducible environments.
- Familiarity with Large Language Model Operations (LLMOps) best practices and production system monitoring employing observability tools.
- Strong background in fine-tuning models, adapting them, and utilizing advanced machine learning and natural language processing frameworks.
Professional & Leadership Skills
- Excellent communication skills to clearly explain complex technical topics to non-technical stakeholders and influence senior management decisions.
- Proven track record of inspiring, mentoring, and cultivating high-performing engineering teams within an inclusive and cooperative atmosphere.
- Ability to predict emerging technological trends and proactively direct the team’s technical evolution.
- Competence in managing intricate organizational dynamics, building consensus, and fulfilling both technical and business targets.
Additional Information
Learning and Career Development
The position offers a flexible career development path, supported by interactive tools, diverse training programs, and a supportive culture focused on mutual growth and empowerment of employees in their career aspirations.
Responsible AI in Recruitment
The company utilizes AI tools solely for administrative recruitment tasks like drafting communication, scheduling, and writing job descriptions. Importantly, AI does not influence candidate screening or hiring decisions, which are exclusively managed by human interviewers and hiring managers. Continuous efforts are made to uphold fairness, monitor, and mitigate bias in AI tools supporting recruitment.
About the Company
The employer is a vibrant and inclusive technology consultancy with over 30 years of history delivering impactful solutions through innovative approaches. The organization values expertise and ongoing learning, striving to create extraordinary results collaboratively.
Level
Lead