Thoughtworks

Global tech consultancy for digital transformation

Lead AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

Strong expertise in Python and modern software engineering practices, including continuous integration and continuous delivery, testing, version control and system reliability.
Proven ability to design and integrate end-to-end AI systems for scalability, maintainability and performance.
Deep experience with generative AI and agentic frameworks.
Expertise in building and scaling retrieval-augmented generation pipelines and integrating vector databases into production systems.
Experience deploying AI solutions on major cloud platforms, using containers and continuous integration and delivery pipelines for reproducibility.
Skilled in large language model operations practices and monitoring production systems with observability tools.
Experience with fine-tuning, model adaptation and advanced use of machine learning and natural language processing frameworks.
Ability to articulate complex technical concepts to non-technical audiences and influence senior decision-makers.
Proven ability to inspire, mentor and develop high-performing engineering teams, fostering a collaborative and inclusive environment.
Ability to anticipate technological trends and proactively shape the technical direction of the team.
Skilled in navigating complex internal and external dynamics, driving consensus and achieving technical and business goals.

Responsibilities

Lead a cross-functional team of software engineers, data scientists and other specialists delivering generative AI solutions.
Guide the design and delivery of AI-powered systems that are scalable, reliable and production-ready.
Set direction for technical decisions, ensuring AI solutions are optimized for performance, cost and maintainability.
Collaborate closely with product managers, designers and stakeholders to align technical solutions with business goals.
Establish and promote best practices in AI engineering covering testing, guardrails, responsible AI, monitoring and documentation, while uplifting the team by sharing knowledge, tools and practices that enable both subject-matter experts and generalists to contribute effectively.
Provide architectural guidance, balancing experimentation with delivery in short, safe cycles.
Review designs and code across the team, ensuring quality and consistency in AI-enabled features.
Set direction for generative AI application optimization to improve accuracy and performance, reduce cost, and determine when model tuning is required.

We are looking for a passionate and skilled AI engineer to lead the AI engineering practice at a team or program level. In this role, you will guide the design and delivery of generative AI solutions, shape the technical roadmap for your team(s), and ensure high standards of engineering excellence. You will provide technical leadership to a small group of engineers, collaborate with product and business partners, and act as a trusted technical consultant for stakeholders.

Due to the nature of the projects and specific client security clearance, this role requires the successful candidate to be a Singapore Citizen.

Job responsibilities

Lead a cross-functional team of software engineers, data scientists and other specialists delivering GenAI solutions.
Guide the design and delivery of AI-powered systems that are scalable, reliable and production-ready.
Set direction for technical decisions, ensuring AI solutions are optimized for performance, cost and maintainability.
Collaborate closely with product managers, designers and stakeholders to align technical solutions with business goals.
Establish and promote best practices in AI engineering, covering testing, guardrails, responsible AI, monitoring and documentation, while uplifting the team by sharing knowledge, tools and practices that enable both SMEs and generalists to contribute effectively.
Provide architectural guidance, balancing experimentation with delivery in short, safe cycles.
Review designs and code across the team, ensuring quality and consistency in AI-enabled features.
Set direction for GenAI application optimization to improve accuracy, performance, cost and know when model tuning is required.

Job qualifications

Technical Skills

Strong expertise in Python and modern software engineering practices, including CI/CD, testing, version control and system reliability.
Proven ability to design and integrate end-to-end AI systems, ensuring scalability, maintainability and performance.
Deep experience with GenAI and agentic frameworks, guiding teams in their effective use.
Expertise in building and scaling RAG pipelines and integrating vector databases into production systems.
Experience deploying AI solutions on major cloud platforms, using containers and CI/CD pipelines for reproducibility.
Skilled in LLMOps practices and monitoring production systems with observability tools.
Experience with fine-tuning, model adaptation and advanced use of ML/NLP frameworks.

Professional Skills

Ability to articulate complex technical concepts to non-technical audiences and influence senior decision-makers.
Proven ability to inspire, mentor and develop high-performing engineering teams, fostering a collaborative and inclusive environment.
Demonstrates the ability to anticipate technological trends and proactively shape the technical direction of the team.
Skilled in navigating complex internal and external dynamics, driving consensus and achieving technical and business goals.

Other things to know

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Responsible Use of AI in Recruitment

At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.

Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.

We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

#LI-Hybrid

See here our AI policy.

About the Company

Thoughtworks

Global tech consultancy for digital transformation

Thoughtworks is a global technology consultancy that helps organizations modernize and innovate by combining strategy, design, and software engineering. They work with clients to create adaptable technology platforms, digital products, and data- and AI-enabled solutions through tailored engagements. Their model centers on consultancy services, delivering project-based work, retainer arrangements, and long-term partnerships to implement custom software, modernize legacy systems, and execute data-driven strategies. Distinguishing factors include a 30-year track record, a broad, cross-industry client base, and an emphasis on end-to-end transformation rather than just technology delivery. The company's goal is to help clients thrive in the digital age by enabling sustainable growth and competitive advantage through integrated strategy, design, software, and analytics.

Company size: 10,001+
Company stage: IPO
Headquarters: Chicago, IL
Founded: 1993

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