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.
- 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.
- 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.
- 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.
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.
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.
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.
Skills Required
- Strong expertise in Python and modern software engineering practices, including CI/CD, testing, version control, and system reliability
- Experience designing and integrating scalable, maintainable, and high-performance end-to-end AI systems
- Deep experience with generative AI and agentic frameworks
- Expertise 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
- Experience with LLMOps and monitoring production systems using observability tools
- Experience with fine-tuning, model adaptation, and advanced machine learning or NLP frameworks
- Ability to communicate complex technical concepts to non-technical audiences and influence senior decision-makers
- Ability to inspire, mentor, and develop high-performing engineering teams
- Ability to anticipate technology trends and shape technical direction
- Ability to navigate complex internal and external dynamics, build consensus, and achieve technical and business goals
- Singapore citizenship due to project requirements and client security clearance
Thoughtworks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Thoughtworks and has not been reviewed or approved by Thoughtworks.
-
Leave & Time Off Breadth — Paid time off includes vacation accrual from day one with rollover, personal/sick days, development and service days, and a long‑tenure paid sabbatical. Policies also emphasize comprehensive leave for rest, illness, and rejuvenation.
-
Healthcare Strength — Health coverage spans medical, dental, and vision and often extends to families, complemented by mental‑health support through Lyra and Headspace. In some regions, private providers and wellness rewards further bolster healthcare access.
-
Parental & Family Support — Parental leave is positioned as generous across regions, with fully paid options in some markets and a comprehensive fertility policy. Adoption and broader family supports are also highlighted.
Thoughtworks Insights
What We Do
We are a global technology consultancy that delivers extraordinary impact by blending design, engineering and AI expertise. For 30 years, our commitment to design-led thinking, engineering excellence and innovation means we prioritize people, build teams with strong technical foundations and embed AI into every step of the process – not just as a tool but as a mindset. It’s this approach that sets us apart, sparks bold ideas and empowers us to drive real, lasting innovation. We’re not preparing for the future – we’re defining it.
Why Work With Us
As technologists, we have a unique role to play in how technology should benefit all of society, pursuing a more equitable future. Part of that role is to continuously educate ourselves on the issues that matter to the causes we believe in. We recognize our privilege and strive to see the world from the perspective of the most vulnerable.
Gallery
.jpeg)
