• Help build the foundation for GitLab's transformation into an AI-first company • Map how work moves across teams, tools, and handoffs • Take ownership from discovery through deployment of AI initiatives • Combine engineering skills with systems thinking and business understanding • Embed AI solutions into Sales, Marketing, and Customer Support workflows • Improve flow across the organization and help advance GitLab's mission

• You will own a product capability end to end, from architectural decisions through production outcomes, cutting through every layer: entry points, orchestration, intelligence, tools, data, and observability. • Your work directly shapes how Augeo's clients engage tens of millions of users. • You will build and ship mission-critical AI agents that drive revenue growth across finance, healthcare, telecom, and commerce. • Define how AI agents are built at Augeo. • Drive the Agent Development Life Cycle (ADLC) from initial pilot through production iteration, setting the standard for how agents are developed, tested, evaluated, and improved. • Build the shared platform: agent orchestration, agentic workflows, ML models, and data infrastructure that every product team at Augeo builds on. • Work across Augeo with engineers, product leads, and end users to understand needs, close feedback loops, and ensure the platform compounds with every interaction. • Shape the team. Participate in hiring and define the culture of an engineering org that is AI-native from day one.

Role Description Join our Agent Deployment team to play a critical role in deploying voice agents that handle tens of thousands of customer interactions every day. As a Forward Deployed AI Engineer, you'll directly influence PolyAI’s growth by rapidly implementing and optimizing cutting-edge voice AI solutions tailored to our enterprise customers' needs. You will serve as the primary technical liaison between PolyAI and our clients, collaborating closely to understand their requirements, deliver customized solutions, and ensure measurable success and customer satisfaction. This role offers an exciting blend of technical innovation, entrepreneurial spirit, and impactful client interaction, giving you the opportunity to shape the future of AI-powered customer experiences. Qualifications - Passionate about AI, specifically voice-driven technologies, with a strong motivation to continuously expand your expertise. - Strong technical background or demonstrated ability to quickly grasp complex concepts (preferred backgrounds: Engineering, Computer Science, Data Analytics, or related fields). - Thrives at the intersection of technology and customer success, energized by creatively overcoming complex enterprise interactions and getting to the successful deployment. - Highly autonomous, proactive, opinionated and comfortable working closely with clients to achieve ambitious goals and deliver tangible ROI. - Skilled in navigating multiple stakeholder relationships (both internal and external), balancing stakeholder needs without losing sight of core business objectives. Responsibilities - Lead the hands-on development, configuration, and deployment of conversational AI systems for enterprise clients, ensuring solutions are production ready and aligned with real business workflows. - Develop deep expertise in the platform architecture, capabilities, and limitations in order to design reliable and scalable solutions for client deployments. - Partner closely with product and engineering teams, representing client needs internally and communicating product capabilities and roadmap direction to customers. - Design creative solutions to overcome platform or integration constraints while maintaining system reliability, scalability, and maintainability. - Own the reliability, performance, and scalability of deployed systems, ensuring production environments meet strict SLAs for uptime, latency, and operational stability. - Serve as the primary technical point of contact for enterprise clients, leading technical discussions, troubleshooting issues, and maintaining ownership of system architecture and production health. - Collaborate with Deployment Strategists (DS) and Customer Success Managers (CSMs) to support successful project delivery and long-term client outcomes. - Apply a data-driven approach to deployments by designing logging, monitoring, and analytics systems that surface insights and enable proactive issue resolution. - Build and maintain operational dashboards, metrics, and alerts to ensure deployments meet both internal and external reliability standards. - Lead integration with enterprise infrastructure including telephony systems such as SIP and RTP, backend services, and external APIs, ensuring secure and scalable production operation. Requirements - You work with AI productivity and/or automation tools in your daily tasks. - 2-5 years of client-facing experience in solution implementation, technical consulting, management consulting, or a similar role. - Strong technical foundation (education or professional background in Computer Science, Engineering, Data Analysis, etc.) and comfortable rapidly mastering new technologies. - Proven ability to independently manage projects and passionate about solving problems, whether technical or non-technical. - Demonstrate the ability to manage stakeholders while staying result-driven. - Outstanding communication skills, able to clearly explain complex technical concepts to non-technical stakeholders. - Creative, solutions-focused mindset with a talent for overcoming complex challenges. - Experience with VoIP protocols such as SIP, RTP, and related telephony technologies (e.g., call routing, signaling, and media handling). - You’re passionate about building AI that positively impacts everyday life. - Experience with Python programming. - Familiarity with containerization and microservice deployments using Docker and Kubernetes. - Native-level proficiency in English. Benefits - 💰 Participation in the company’s employee share options plan - 🏥 100% of Single Cost (employee) and 70% of Dependent for medical, dental & vision - 👪 Life Insurance - ◻️ STD and LTD - 💰 The opportunity to contribute to the company's 401k plan - 🏝 Flexible PTO policy + 11 designated company holidays - 📚 Annual learning and development allowance - 🏡 We’re all about making WFH work for you - that’s why we offer a one-off WFH allowance when you join. Offering perks like noise-cancelling headphones or a comfortable desk chair to boost your comfort and focus! - 🧡 Enhanced parental leave - 👨‍👩‍👧 Company-funded fertility and family-forming programmes - 🌸 Menopause care programme with Maven

Role Description 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. - 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. - 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, cost and know when model tuning is required. Qualifications - 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. Requirements - 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. Benefits - There is no one-size-fits-all career path at Thoughtworks; however you want to develop your career is entirely up to you. - 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. 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.