Thoughtworks
Principal AI Architect
Chicago, Illinois, USA · Principal
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- This is a hands-on, consulting-first role.
- Our practice spans the full AI lifecycle: from data strategy and modern data platforms to machine learning engineering, generative AI, responsible AI, and MLOps.
Responsibilities
- AI Architecture & Solution Design
- 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
- 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
- Lead and mentor cross-functional teams of engineers, data scientists, and ML practitioners on client engagements
- 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
- 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.
Requirements
- 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
- Proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow, Hugging Face, scikit-learn)
- Hands-on experience with cloud AI services across AWS (SageMaker, Bedrock), GCP (Vertex AI), or Azure (Azure ML, OpenAI Service)
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
- 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
- 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
Compensation
- 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.
Benefits
- 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.
- Deep expertise in designing and deploying ML and AI systems at scale - spanning classical ML, deep learning, and generative AI
Company info
- We are committed to fairness and responsible AI.
- 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.
Equal opportunity
- Thoughtworks is an equal-opportunity employer. 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. We prohibit discrimination and harassment of any kind and are dedicated to providing a work environment free from discrimination and harassment. 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.
- For additional information, please see the Thoughtworks, Inc. Equal Employment Opportunity & Affirmative Action Policy Statement.
- US - Work Authorization
Visa & Work Authorization
- US - Work Authorization
This listing is sourced directly from Thoughtworks's careers page and normalized into a canonical job model.