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.

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, secure 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.

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. 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. 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. 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. 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 .

We are committed to providing equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable federal, state, or local law.



This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, stermination, layoff, recall, transfer, leaves of absence, compensation, and training. Thoughtworks is also an affirmative action employer of veterans and individuals with disabilities.

Equal Employment Opportunity &affirmative; Action Policy Statement . Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment in the United States. Thoughtworks is committed to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs, practices, or observances, in accordance with applicable law.

Requests may be made at any stage of the application or interview process. Applicants are not required to disclose medical diagnoses or detailed personal information in order to request an accommodation. All accommodation requests will be handled in a timely, confidential, and respectful manner, consistent with applicable legal requirements.

As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech.

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📌 Lead Game AI Engineer (Toronto)
🏢 Referrals Only
📍 Toronto