Job Opportunity: AI Engineer (Team/Program Lead)

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues revolutionizing tech. As a leading technology consultancy, we push boundaries through our purposeful and impactful work. For over 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.

About the Role

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.

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, and 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.

Learning & Development

At Thoughtworks, we believe in supporting your career journey. We offer interactive tools, numerous development programs, and teammates dedicated to helping you grow. Your career path is yours to define, balanced with our strong cultivation culture.

Responsible Use of AI in Recruitment

Thoughtworks utilizes AI tools to assist with administrative recruitment tasks. 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, actively monitoring and mitigating potential biases.

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