Senior Google Forward Deployed Engineer - GPS

About the role

The Deloitte AI & Engineering team transforms technology platforms, drives innovation, and makes a significant impact on clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses.

Responsibilities

• 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.

Requirements

• 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.

Qualifications

• 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.
• Familiarity with security, privacy, or compliance requirements.