Senior Applied AI Engineer - Cloud & Conversational

Google; Atlanta (GA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off (vacation) 20 days/year

Sick time 40 hours/year

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

13 paid holidays

Job summary

Google is hiring a Forward Deployed Engineer in Applied AI to serve as the Agent Engineer, transforming initial conversational prototypes into production-ready AI solutions. You will own end-to-end engineering, deliver customer journeys at scale, and travel to customer sites up to 50%.

Join Google Cloud’s Go-To-Market team to solve business problems with Gemini models and Vertex AI, driving real-world value.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with software development using Python or similar coding languages.
• Experience deploying resources via Terraform or similar tools to automate the setup of agents, functions, or networking.
• Experience building full-stack applications that interact with enterprise IT infrastructures and developing external customer projects.
• Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform).

Responsibilities

• Serve as the lead developer for conversational AI and customer experience applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol servers) that drive measurable ROI.
• Architect and code conversational flows that connect Google’s AI products with customers’ live infrastructure, including APIs and data silos.
• Build high-performance evaluation pipelines and observability frameworks to optimize agentic workloads with latency, security, and reliability.
• Identify repeatable field patterns in Google’s AI stack and convert them into reusable modules or feature requests for Engineering teams.
• Co-build with customer engineering teams to ensure project success and end-user adoption.

Skills

Python

Full-stack development

AI systems

Cloud platforms

System architecture

Education

Bachelor's degree in Engineering/CS/related field

Master's degree or PhD (preferred)

Tools

Terraform

Job description

Google is hiring a Forward Deployed Engineer in Applied AI to serve as the Agent Engineer, transforming initial conversational prototypes into production-ready AI solutions. You will own end-to-end engineering, deliver customer journeys at scale, and travel to customer sites up to 50%.

Join Google Cloud’s Go-To-Market team to solve business problems with Gemini models and Vertex AI, driving real-world value.