As an AI Architect within Thoughtworks' Data & AI Service Line, you will be at the forefront of helping our clients design, build, and scale enterprise-grade AI systems. You will operate as a trusted technical leader and advisor — shaping AI strategy, establishing architectural patterns, and delivering impactful solutions that create measurable business value.

This is a hands-on, consulting-first role. You'll partner with client stakeholders across industries, lead multidisciplinary teams, and bring Thoughtworks' hallmark of technical excellence to every engagement — from early discovery through to production.

About Thoughtworks & the Data & AI Service Line

Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. Our Data & AI Service Line partners with forward-thinking organizations to harness the power of data and artificial intelligence — building the foundations, capabilities, and solutions needed to compete in an AI-native world.

Our practice spans the full AI lifecycle: from data strategy and modern data platforms to machine learning engineering, generative AI, responsible AI, and MLOps. We work with enterprises across financial services, healthcare, retail, media, and the public sector, delivering outcomes that matter.

What You'll Do

AI Architecture & Solution Design

Architect scalable, production-ready AI and ML systems, including LLM-powered applications, agentic frameworks, and real-time inference platforms
Define and deliver end-to-end technical blueprints covering model development, data pipelines, serving infrastructure, monitoring, and governance
Lead the design of Retrieval-Augmented Generation (RAG) systems, fine-tuning pipelines, and model evaluation frameworks
Evaluate and recommend AI/ML platforms, cloud-native services (AWS, GCP, Azure), vector databases, and open-source tooling

Client Advisory & Consulting

Act as a strategic AI advisor to C-suite and senior technical stakeholders, translating business challenges into AI-driven solutions
Lead architecture discovery workshops, technical due diligence, and capability assessments
Shape and present compelling technical proposals, RFP responses, and point-of-view documents
Navigate complex client organisations, managing stakeholder expectations and building lasting trust

Engineering Leadership

Lead and mentor cross-functional teams of engineers, data scientists, and ML practitioners on client engagements
Define engineering standards, architectural principles, and best practices for AI systems
Champion responsible AI practices including fairness, explainability, privacy, and security by design
Drive hands-on delivery — this is not a purely advisory role; you will write code, review designs, and unblock teams

Practice & Community

Contribute to Thoughtworks' AI practice development: thought leadership, internal accelerators, reusable frameworks, and IP
Represent Thoughtworks at conferences, publish articles, and engage with the broader AI community
Mentor and grow the next generation of AI practitioners within the firm

What You'll Bring

Technical Expertise

8+ years of experience in software engineering, data engineering, or ML engineering, with at least 3 years in a senior architecture or technical leadership role
Deep expertise in designing and deploying ML and AI systems at scale — spanning classical ML, deep learning, and generative AI
Strong command of LLM ecosystems: prompt engineering, fine-tuning, RLHF, RAG architectures, LangChain, LlamaIndex, or equivalent frameworks
Proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow, Hugging Face, scikit-learn)
Solid grounding in data architecture: streaming (Kafka, Spark), lakehouses, feature stores, and vector databases (Pinecone, Weaviate, pgvector)
Hands-on experience with cloud AI services across AWS (SageMaker, Bedrock), GCP (Vertex AI), or Azure (Azure ML, OpenAI Service)
Familiarity with MLOps and LLMOps practices: CI/CD for ML, model registries, A/B testing, drift detection, and observability

Consulting & Leadership Skills

Demonstrated experience operating in a consulting or professional services environment, managing client relationships and delivering on commercial commitments
Ability to communicate complex AI concepts clearly to both technical and non-technical audiences
Proven track record of leading delivery teams in agile environments, with experience across the full software development lifecycle
Comfortable operating with ambiguity — adept at framing problems, structuring workstreams, and driving clarity

Nice to Have

Experience with autonomous AI agents, multi-agent systems, or AI orchestration frameworks
Contributions to open-source AI/ML projects or published research
Domain expertise in one or more verticals: financial services, healthcare, retail, or the public sector
Familiarity with AI governance frameworks, EU AI Act, or responsible AI toolkits (e.g. IBM AI Fairness 360, Microsoft Responsible AI)

Other things to know

Learning & Development

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.

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. 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.

Accommodations

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.

If you need a reasonable accommodation to complete any part of the application process, participate in interviews, or otherwise engage in the hiring process, you may request an accommodation by completing this form or speaking with your recruiter. Requests may be made at any stage of the application or interview process.

Once a request is received, Thoughtworks will engage in an interactive process with the applicant to determine an appropriate accommodation. 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.

Requesting an accommodation will not negatively affect your consideration for employment. Company prohibits retaliation against any applicant for requesting an accommodation or participating in the accommodation process. Accommodations made during the recruitment process are not a guarantee of future or continued accommodations once hired. If you are hired by Thoughtworks, and require an accommodation to perform the essential functions of your role, you may be asked to engage in our reasonable accommodation process.

Cancellations

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