Thoughtworks

LeadAIEngineer

Singapore Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead AI Engineer at Thoughtworks. Skills: AI engineering, generative AI solutions, technical roadmap, engineering excellence, AI-powered systems, GenAI, LLMOps. guide the design and delivery of generative AI solutions. shape the technical roadmap for your team(s)”

What You'll Achieve.

ensure high standards of engineering excellence; align technical solutions with business goals; achieving technical and business goals

Industry & Context.

Problems you'll solve

solve complex business problems

Eligibility Requirements

Singapore Citizen or PR of Singapore

What They're Looking For.

Must Have

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

What You'll Do.

guide the design and delivery of generative AI solutions

shape the technical roadmap for your team(s)

ensure high standards of engineering excellence

provide technical leadership to a small group of engineers

collaborate with product and business partners

act as a trusted technical consultant for stakeholders

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

Establish and promote best practices in AI engineering

monitoring and documentation

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

Review designs and code across the team

ensuring quality and consistency in AI-enabled features

Set direction for GenAI application optimization to improve accuracy

cost and know when model tuning is required

How You'll Work.

Team & Collaboration

Lead a cross-functional team of software engineers, data scientists and other specialists; Collaborate closely with product managers, designers and stakeholders; uplifting the team by sharing knowledge, tools and practices; Review designs and code across the team; fostering a collaborative and inclusive environment

Communication Scope

Ability to articulate complex technical concepts to non-technical audiences

Process & Methodology

balancing experimentation with delivery in short, safe cycles

Full Job Description

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

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