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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Google Forward Deployed Engineer - **Company:** Deloitte T.T.L. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $155,600.0 - $306,800.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Code Review, Computer Programming, Continuous Integration, Information Engineering, Global Positioning Systems (GPS), Monitoring of Systems, Identity and Access Management, Machine Learning, Language Modeling, Systems Development Life Cycle, Software Engineering, Data Streaming, Systems Integration, Management of Software Versions, Privacy Controls, Data Logging, Google Cloud, Enterprise Software Applications, Feature Engineering, Apache Spark, Model Validation, Event Driven Architecture, AI Platforms, Information Technology, Low Latency, Data Management, Machine Learning Operations, Gsuite, Multiplatform, Microservices - **Published:** August 20, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-google-forward-deployed-engineer-gps-new-york-ny--e5e38740-862a-44ee-baa4-b491f6e8dd9e ## About the Role * Ability to work independently and collaborate as part of a team * Effective written and verbal communication skills * Meticulous attention to detail and quality of work product * Ability to build and sustain professional relationships * Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong interpersonal skills and professional demeanor * Ability to meet deadlines * Ability to mentor and provide clear guidance to others, Required: * Bachelor's degree (or equivalent) in Computer Science, Data Science, or Engineering * Active Google Associate Data Practitioner or Associate Cloud Engineer certification * 7+ years of experience in software engineering, data engineering, data science, or analytics engineering, including 3+ years of experience building reliable, maintainable, and documented code * 1+ years of hands-on experience building and deploying GenAI or large language model-powered solutions in client or production environments * 1+ years of experience with Google Cloud or Google artificial intelligence technologies, including hands-on experience with at least one of the following: Gemini API, Vertex AI Agent Builder, Grounding, or Google Workspace integration * 1+ years of experience leading project workstreams or engagements and translating business problems into AI solutions; ability to obtain and maintain a US government security clearance * Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. * Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Preferred: * Professional level Google Certification * Experience with Amazon Web Services, Microsoft Azure, or Google Cloud and platform services including storage, compute, identity and access management, and networking * Experience working directly with client technical teams and program stakeholders in delivery environments * Experience with Spark, Airflow, dbt, streaming, data modeling, feature engineering, experimentation, or model evaluation * Experience with machine learning operations or large language model operations practices, including evaluation frameworks, model monitoring, and prompt management * Experience integrating large language model solutions with enterprise systems using application programming interfaces, microservices, or event-driven architectures * Familiarity with security, privacy, or compliance requirements The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance., Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Cloud Computing, Coaching, Code Reviews, Communication Skills, Computer Science, Computer Services, Customer Support/Service, Data Modeling, Data Science, Detail Oriented, Documentation, Establish Priorities, Financial Management, GPS (Global Positioning System), Government, Higher Education, Identity Data Management, Incentive Programs, Interpersonal Skills, Knowledge Transfer, Leadership, Local Government, Machine Learning, Machining Operations, Mentoring, Microservices, Microsoft Windows Azure, Modeling Languages, Multiplatform/Cross-Platform, Multitasking, Needs Assessment, Operations Processes, Presentation/Verbal Skills, Privacy Controls, Product Demonstration, Production Systems, Prototyping, Reengineering, Regulatory Compliance, Sales Support, Scalable System Development, Security Clearance, Software Engineering, Systems/Internals Programming, Time Management, Use Cases, Willing to Travel, Writing Skills ## Description As a Senior Google FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include: Client Engagement: * Embed with clients to identify business needs and translate high-value GenAI use cases into solutions. * Partner with leaders, product owners, architects, and engineers to align priorities and delivery. * Lead working sessions to shape solutions and drive client outcomes. * Prototype and deliver working AI solutions using industry expertise and emerging capabilities. * Contribute independently within an FDE pod while mentoring newer team members. * Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success. * Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer. * Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital. Solution Engineering: * Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms. * Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls. * Apply architecture decisions that balance quality, safety, latency, cost, and model risk. * Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation. * Design extensible functionality, support sprint sizing, and align solutions with senior team members. * Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Unleash the power of 5G in your code: transform your apps](https://www.wearedevelopers.com/videos/1567-unleash-the-power-of-5g-in-your-code-transform-your-apps) ## Related Articles - [Got AI ideas but no money? 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