T

Thoughtworks

Global tech consultancy for digital transformation

Lead AI Engineer

AI Application EngineeringUpdated on Nov 12
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.
  • Ability to design and integrate end-to-end AI systems for scalability, maintainability, and performance.
  • Deep experience with generative AI and agentic frameworks.
  • Experience building and scaling retrieval-augmented generation pipelines and integrating vector databases into production systems.
  • Experience deploying AI solutions on major cloud platforms and using containers and continuous integration and continuous delivery pipelines for reproducibility.
  • Experience with large language model operations practices and monitoring production systems with observability tools.
  • Experience with fine-tuning, model adaptation, and machine learning and natural language processing frameworks.
  • Ability to communicate complex technical concepts to non-technical audiences and influence senior decision-makers.
  • Ability to inspire, mentor, and develop engineering teams and foster a collaborative and inclusive environment.
  • Ability to anticipate technological trends and shape a team's technical direction.
  • Ability to navigate complex internal and external dynamics, drive consensus, and achieve technical and business goals.
  • Singapore citizenship is required.

Responsibilities

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

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

Recently Posted Jobs

Explore more opportunities at Thoughtworks

See more jobs