Principal Delivery Success Manager

We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.  ABOUT THE JOB We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team. We are establishing a AI Engineering team who will work closely with our most strategic customers to deeply understand their use cases and design, build, and implement products for them. As one of our founding AIs, you will deploy these solutions on the latest infrastructure for the world's most influential businesses, driving real business impact through the newest models and our own innovations in technical delivery. AI Engineers' responsibilities look similar to those of a hands-on AI startup CTO: you'll work in small teams to own delivery of high stakes projects with clients. A day's work may include building LLM workflows on a large scale, interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organizations. We are looking for customer-focused software engineers to build effective custom software that leverages leading AI models and technology to solve real customer problems. You will partner directly with customers to conceptualize, design, and implement cutting-edge AI solutions. This role focuses on leveraging generative AI models, agentic systems, and iterative prototyping to build impactful proofs of concept (PoCs) that address unique business challenges. The AI engineer acts as a bridge between advanced AI technologies and practical enterprise applications, ensuring that solutions are both innovative and actionable. You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also be self driven to learn about the AI market and bring forward that knowledge to improve the way in which we deliver to customers. Responsibilities Customer Engagement: Collaborate deeply with clients to understand their strategic objectives, technical requirements, and operational constraints. Serve as a trusted advisor for AI strategy, guiding clients through the process of ideating and implementing generative and agentic AI solutions. Facilitate workshops and brainstorming sessions to identify high-value use cases for AI technologies. AI Solution Development: Design, prototype, and deploy AI-powered PoCs using generative models (e.g., GPT, DALL-E) and agentic systems tailored to specific client needs. Build end-to-end pipelines for deploying AI solutions on client infrastructure, ensuring scalability, security, and performance. Experiment with cutting-edge methods in natural language processing (NLP), computer vision, reinforcement learning, and multi-agent systems to deliver innovative solutions. Iterative Prototyping: Use an experiment-driven approach to rapidly test hypotheses and refine prototypes in collaboration with client teams. Develop reusable frameworks and tools to accelerate the deployment of generative AI solutions across diverse industries. Cross-Functional Collaboration: Work closely with Sales, Applied Research, Product Development, and Customer Success teams to ensure seamless project execution. Provide actionable feedback from customer engagements to inform the development of new AI capabilities. Knowledge Sharing: Document best practices and lessons learned from client projects to contribute to internal knowledge bases. Mentor junior engineers on the application of generative and agentic AI technologies in real-world scenarios. Requirements Technical Expertise: Strong proficiency in programming languages such as Python or JavaScript, with experience in frameworks like TensorFlow or PyTorch. Hands-on experience with generative AI models (e.g., GPT-4/5), agentic systems, or reinforcement learning frameworks. Familiarity with deploying machine learning models in production environments using cloud platforms (e.g., AWS, Azure) or on-premise systems. Problem-Solving Ability: Proven ability to translate abstract business challenges into concrete technical solutions using generative AI. Strong analytical skills to evaluate model performance and optimize for specific use cases. Client-Facing Skills: Exceptional communication skills for explaining complex AI concepts to diverse stakeholders. Ability to build trust-based relationships with clients and navigate ambiguous problem domains collaboratively. Adaptability: Flexibility to work across industries such as healthcare, finance, defense, or retail while tailoring solutions to each domain. Willingness to travel or work on-site with clients as required. Requirements (Education, Certification, Training, and Experience) Bachelor's degree in computer science or related field or equivalent experience At least 3 years of experience in software engineering or applied machine learning roles. Direct experience working with customers on the development of AI-driven applications is highly desirable Passion for exploring the frontiers of generative and agentic AI technologies. Entrepreneurial mindset with a focus on delivering measurable business impact through innovative solutions. Commitment to continuous learning and staying at the forefront of AI advancements. This role is ideal for those who thrive at the intersection of technology innovation and customer engagement. You will have the opportunity to shape the future of enterprise AI adoption while solving some of the most complex challenges faced by leading organizations. BENEFITS * Opportunities for certification and training * Dual monitor setup and high-spec workstations * English courses * Gym allowance * Medical Reimbursement * Full salary covered up to 20 days of sickness * Flexible working hours * Loyalty scheme * Team building activities, special events and conferences * UK/EU Travel opportunities * Snacks and drinks in the office     To see more roles, click here.

Principal Engagement Architect London, UK Principal Engagement Architects at Thoughtworks are the delivery and solution leaders for AI-native advisory engagements. This role combines the responsibilities of an engagement manager, product leader, and systems thinker. You will dictate how high-level strategy translates into working solutions and measurable outcomes.  You sit at the center of the engagement, connecting client intent, business outcomes, and execution reality to break down doors, get engagements started, and set up our delivery teams for success. By balancing strong opinions with high intellectual curiosity and flexibility, you bring integrity to technology, driving innovation at the absolute edge of AI strategy. JOB RESPONSIBILITIES * You will own the delivery of outcomes by translating client goals into clear workstreams, milestones, and outputs, driving the “last mile” from idea to implementation. * You will structure and drive AI-native advisory engagements, breaking down complex, ambiguous problems into clear, actionable components across team members, AI agents, and client stakeholders. * You will orchestrate AI-native delivery, designing how AI is used across analysis, scenario modeling, workflow generation, and documentation while effectively managing output quality. * You will ensure quality and coherence across the engagement, reviewing outputs for logical consistency, business relevance, and technical feasibility to build a cohesive narrative. * You will interface directly with client delivery leadership (such as CTOs, CIOs, and program leads), translating advisory recommendations into practical execution paths and navigating tradeoffs in real time. * You will proactively manage risk and execution reality, identifying technical, organizational, or commercial delivery risks early and adjusting the approach to maintain progress. * You will build reusable delivery patterns, capturing and refining repeatable workflows, engagement models, and decision frameworks to expand our library of AI-native advisory assets.   JOB QUALIFICATIONS TECHNICAL SKILLS * You have 8–15 years of experience in consulting and strategy, with a strong background in technology and a proven transition into the advisory and strategy space. * You are highly comfortable with extensive pre-sales work, including pricing engagements and putting together proposals, pitch decks, RFIs, and RFQs. * You are comfortable with new AI tooling, possessing the ability to design workflows around AI, evaluate the confidence of AI output, and continuously enhance your technical skills over time. * You are an expert in systems thinking, allowing you to analyze how business processes, technology, data flows, and end-to-end dependencies fit together.   PROFESSIONAL SKILLS * You thrive in a collaborative, non-hierarchical environment that values transparency, openness, feedback, and continuous change. * You have a natural ability to navigate complex stakeholder landscapes, establishing and nurturing relationships while communicating clearly and concisely with senior business and technology leaders. * You possess a high degree of intellectual curiosity and a structured approach to problem-solving, enabling you to think in hypotheses, tradeoffs, and outcomes. * You understand how to balance AI capabilities with human oversight, knowing how to apply human judgment to direct AI tools effectively and move past anodyne outputs.   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.   ABOUT THOUGHTWORKS 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. See here our AI policy.