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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI ML Deployment Specialist - **Company:** Buro Happold - **Location:** New York, NY, United States - **Salary:** $75,000.0 - $95,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Autodesk Revit, Python (Programming Language), Machine Learning, Multi-Agent Systems, Rhino, Information Technology, Data Analytics, Artificial Intelligence Markup Language (AIML) - **Published:** June 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=85e053be7cfc1a99 ## About the Role Do you have experience in Usability feedback collection?, Do you have a Master's degree?, * 1+ years of experience and background in the AEC industry with supporting engineering, design, or digital delivery workflows. * Bachelor's degree in computer science, Computational Design, or a closely related discipline. Master's degree is a plus but not required. * Strong capability in Python and data-driven or parametric workflows. * Familiarity with BIM and design environments (e.g., Revit, Rhino, Grasshopper, Dynamo). * Practical exposure to AI/ML and agentic systems in applied or prototype contexts. * Strong communication skills and confidence collaborating with multidisciplinary teams. ## Description As an AI/ Automation Deployment Specialist, you support the deployment, adoption, and operationalisation of AI, ML, automation, and agentic platforms across the US region, while contributing to global technology initiatives. Here at Buro Happold, expect the exceptional. From the projects you will work on to the clients we work with. From career-defining opportunities to an inclusive and diverse practice where we all contribute to a more equitable world. From our reputation to our relationships. Wherever your Buro Happold career takes you, it'll be anything but ordinary. Your next role This role focuses on enabling engineering teams to effectively use existing and emerging tools in live project environments. You work closely with Regional Automation Leads, BIM and computational teams, and global development groups to ensure tools are implemented consistently, adopted effectively, and aligned with real delivery needs Your key duties As a key part of the team, your responsibilities will be varied but will broadly include: US AI / ML & Agentic Platform Deployment: * Support the rollout and adoption of AI-enabled and agentic platforms across US projects, including platforms such as DataGrid and VIKTOR. * Work with Regional Automation Leads (RALs), BIM teams, and project teams to support configuration, testing, documentation, and onboarding. * Apply automation and AI tools within live project workflows, operating independently within a defined scope. * Capture user feedback, adoption challenges, and lessons learned to inform continuous improvement. AI Productivity & Prompting Enablement (US): * Support the implementation and adoption of AI productivity and prompting capabilities used across the practice. * Develop and maintain prompting guidance, examples, and workflow-based use cases aligned with engineering delivery. * Support targeted training sessions and knowledge-sharing activities. US Automation & Efficiency Tools: * Support the development, testing, and deployment of automation and efficiency tools identified by US automation and BIM teams. * Contribute to validation, documentation, and refinement of tools prior to wider rollout. * Assist in preparing guidance material to support consistent adoption. Global AI & Automation Support: * Support global AI, ML, automation, and agentic platform initiatives under the direction of senior developers and global leads. * Contribute through defined tasks such as prototyping support, testing, documentation, deployment preparation, and feedback synthesis. * Participate in pilot and proof-of-concept initiatives with a focus on usability, scalability, and adoption. * Function as a feedback link between US project experience and global development teams. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Leading efficiency, empathy, and the human experience with AI](https://www.wearedevelopers.com/videos/1699-leading-efficiency-empathy-and-the-human-experience-with-ai) - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) - [HR ROBO SAPIENS: Decoding AI Agents and Workflow Automation for Modern Recruitment](https://www.wearedevelopers.com/videos/1470-hr-robo-sapiens-decoding-ai-agents-and-workflow-automation-for-modern-recruitment) - [AI and Agility: The Dynamic Duo for Disruption](https://www.wearedevelopers.com/videos/2081-ai-and-agility-the-dynamic-duo-for-disruption) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools)