Forward Deployed Engineer

Capgemini; Mountain View (CA); In loco; USD 76.000 - 118.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical insurance

Dental insurance

Vision insurance

Retirement benefits

Descrizione del lavoro

Tundra Technical Solutions is seeking a Forward Deployed Engineer (FDE) for Applied AI in Mountain View. You will lead production-ready Conversational AI pilots, transforming rapid prototypes into scalable solutions at customer sites.

The role requires deep software engineering, MLOps, and cloud infrastructure expertise, with travel up to 50%. You will drive end-to-end delivery, including secure deployment and integration with enterprise systems.

Competenze

• 8 years of experience in software development.
• Experience architecting AI systems on cloud platforms (GCP).
• Experience deploying resources via Terraform to automate setup of agents and networking.
• Experience building enterprise-scale, production-ready AI solutions.

Mansioni

• Serve as the lead developer for Conversational AI and CX applications, turning prototypes into production-grade workflows.
• Architect and code conversational flows optimized for integration with customer live infrastructure and security perimeters.
• Build high-performance evaluation pipelines and observability for complex agent workloads and low latency.
• Identify repeatable field patterns and convert them into reusable modules for Engineering teams.
• Co-build with customer engineers to ensure long-term success and high end-user adoption.

Conoscenze

Python programming

Software development

MLOps

Cloud infrastructure

Agent-based systems

Multi-agent workflows

Formazione

Bachelor's degree in Engineering/CS or related field

Strumenti

Terraform

GCP

Descrizione del lavoro

Mountain View, CA, United States (On-site)

Contract (3 months 3 days)

Published 4 days ago

mlops

cloud operations

performance monitoring

api integrations

terraform

production support

python programming

As a Forward Deployed Engineer (FDE) in Applied AI, you are the "Agent Engineer" and the primary driver for our customers' most critical AI initiatives. You take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering lifecycle, including the transition from "Art of the Possible" to real-world business value and scalable, secure AI systems.

This is a high-travel, high-impact role focused on leading technical delivery for Conversational AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers at their sites.

This role requires a deep understanding of software engineering, Machine Learning Operations, and cloud infrastructure.

Responsibilities:

Serve as the lead developer for complex Conversational AI and CX applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.

Architect and code conversational flows that are not just functional, but optimized for the "connective tissue" between Google’s Conversational AI products and customers’ live infrastructure, including APIs, legacy data silos, and security perimeters.

Build high-performance evaluation (Eval) pipelines and observability frameworks to optimize complex agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking.

Identify repeatable field patterns and technical "friction points" in Google’s AAI stack, converting them into reusable modules or product feature requests for Engineering teams.

Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

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 architecting AI systems on cloud platforms (e.g., GCP).

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.

Preferred qualifications:

Master’s or PhD in AI, Computer Science, or a related technical field.

Experience implementing multi-agent systems using frameworks like ReAct and self-reflection.

Experience debugging Agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time.

Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations.

Track record of troubleshooting live, high-traffic systems during critical windows.

Ability to travel up to 50% of the time.

The pay range that the employer in good faith reasonably expects to pay for this position is $55.48/hour - $86.68/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.