# AI/ML Engineer at Woolpert > Remote · United States · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Awoolpert%3A4433596009 (read 2026-11-04). ## Facts (observed) - Company: [Woolpert](https://alderhq.app/companies/woolpert) - Location text: Remote - United States; United States - Where it can be done from (inferred): Remote · United States (evidence: "Remote role open worldwide") - Posted: 2026-10-06 (28 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://job-boards.greenhouse.io/woolpert/jobs/4433596009 - Skills listed (inferred): Node.js, Python, GCP, TensorFlow ## Pay and sponsorship - Posted pay: $118k–$148k per year (from the listing's pay field) - Market band for similar posted roles (United States, n 481): p25 $183k, median $224k, p75 $288k ## Description (the employer's text) At Woolpert, you’ll do work that matters. As a leading global architecture, engineering, and geospatial firm, we help clients solve complex challenges that shape communities, strengthen critical infrastructure, advance technology, and improve the world around us. Here, you’ll collaborate across disciplines, tackle meaningful projects, and build a career defined by growth, opportunity, and impact. ### Position Overview Woolpert is hiring a Cloud AI/ML Delivery Engineer to join our dynamic Cloud Solutions and Interdisciplinary Services (CSIS) team. This position reports to the Cloud Engineering Lead and is responsible for providing hands-on engineering and customer-facing project delivery, supporting the Digital Innovations market. The successful Cloud AI/ML Delivery Engineer will research and implement rapidly evolving Google AI/ML technologies (including Gemini Enterprise), frameworks, tools, and approaches. This position is client-facing and focused on successful project delivery, including providing technical leadership for your project team, collaborating during discovery activities, developing technical solutions, hands-on delivery, testing, and user training. Please note this is a Hybrid job. We are looking for a candidate willing to work in one of our many US-based offices and have the flexibility to work for home as well We are unable to provide visa sponsorship for this position. Applicants must already possess work authorization in the country the job is located. ### What You Will Do - Key member of the engineering team, working with client engineering teams, product owners, solutions architects, back-end/front-end developers to drive successful project delivery for our clients and solutions. - Perform client and project discovery activities to understand business and technical requirements, success metrics, and solution architecture. - Act as a trusted advisor to clients, understanding their business challenges and translating them into actionable, high-impact AI/ML solutions. - Develop clear, compelling AI/ML roadmaps and strategies that align with client goals and maximize the use of Google Cloud's AI and data capabilities. - Design and implement end-to-end AI/ML solutions on Google Cloud Platform, including data ingestion, feature engineering, model training, deployment, and monitoring. - Work closely with cross functional team members to drive successful delivery of client projects as well as establish repeatable processes and best practices in a professional services organization. ### What You Will Bring - 8+ years of experience in customer facing consulting role. - Proven experience with AI/ML technologies and applications. - Proven experience in utilizing the Gemini family of models, spanning from integration and customization of Gemini Enterprise solutions to hands-on development and fine-tuning of custom Gemini models. - Hands-on experience with core GCP services relevant to AI/ML, such as Vertex AI, TensorFlow, BigQuery, Cloud Storage, and Dataflow. - Demonstrated proficiency in at least one programming language or scripting language (Python, NodeJS/ES6, etc) and associated AI/ML libraries and frameworks. - Solid understanding of SDLC and Agile software development methodologies and tools related to team software development (e.g. Git, Jira, etc.). - Strong communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. ### Preferred Qualifications - Hands on experience with Google Cloud Services such as Vertex AI, TensorFlow, BigQuery, Cloud Storage, and Dataflow. - Google Cloud Platform professional certifications - Professional services experience, designing and delivering large enterprise solutions - Knowledge of security and IAM tools and principles ### About Woolpert CSIS The Cloud Solutions and Interdisciplinary Services (CSIS) team is part of Woolpert’s Geospatial sector. We are an industry leading development organization delivering SaaS solutions and professional services. Our customers span both the public and private sectors and range from startups to fortune 300 companies. Born out of Woolpert’s award-winning Digital Innovations team, we deliver advanced geospatial and cloud native solutions. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Awoolpert%3A4433596009 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.