[Hiring] Senior AI Engineer @Thoughtworks

Role Description

AI Engineer at Thoughtworks apply a deep knowledge of AI engineering, foundation models, context engineering, retrieval architectures, agentic systems and LLMOps to design, build and operationalize enterprise AI solutions. This is coupled with awareness of adjacent areas, to make business value and data insights visible, enabling clear and effective decision making. They are responsible for the strategy, implementation, productionization and articulation of business impact. They collaborate with cross-functional teams and communicate findings to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As an AI Engineer at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems.

Responsibilities

• Collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning.
• Responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues.
• Design, develop and implement AI Platforms that drive measurable business results.
• Design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action.
• Use quality metrics to evaluate and deploy agents that will be deployed in the production environment.
• Communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind.
• Contribute to the growth of the AI Engineer community along with promoting a culture of data literacy within the organization.
• Address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility).
• Work with LLMOPS practices and data versioning tools.

Qualifications

• Experience designing and deploying AI solutions using enterprise AI platforms such as AWS AgentCore, Google Vertex AI, Microsoft Foundry or equivalent cloud AI platforms.
• Strong experience in one of these languages - Python or Java or TypeScript / JavaScript.
• Experience in utilizing and building production grade code with at least one AI Frameworks like Langchain, Langgraph, Pydantic, MS Agent Framework, AWS Strands, Google ADK.
• Experience building interoperable AI solutions using emerging standards such as Model Context Protocol (MCP), Agent-to-Agent (A2A), AG-UI and similar protocols, enabling seamless integration, communication and collaboration across AI agents, enterprise platforms and external tools.
• Establish standards for context engineering, prompt engineering and retrieval strategies that enable reliable, scalable and trustworthy AI systems across products.
• Architect enterprise agentic systems, defining reusable patterns for orchestration, tool integration, reasoning, resilience and multi-agent collaboration.
• Define retrieval and knowledge platform architectures while establishing LLMOps standards including AI evaluation frameworks, observability, guardrails, Responsible AI, Explainable AI, governance and continuous improvement to deliver reliable, scalable and measurable AI systems.
• Ensure compliance with data privacy regulations and ethical standards when handling sensitive information.

Requirements

• Understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
• Resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
• Don’t shy away from risks or conflicts, instead take them on and skillfully manage them.
• Eager to coach, mentor and motivate others and aspire to influence teammates to take positive action and accountability for their work.
• Enjoy influencing others and always advocate for technical excellence while being open to change when needed.
• Proven leader with a track record of encouraging teammates in their professional development and relationships.
• Cultivating strong partnerships comes naturally; understand the importance of relationship building and how it can bring new opportunities to our business.

Benefits

• There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you.
• Balance autonomy with the strength of our cultivation culture, supported by interactive tools, numerous development programs and teammates who want to help you grow.
• Value in helping each other be our best and empowering employees in their career journeys.

Company Description

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 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.