Capgemini Sogeti offers the support and structure to help engineering leaders deliver meaningful, real-world AI outcomes. This hybrid role spans multiple locations including Atlanta, Nashville, Chicago, Dallas, and New Jersey, with benefits designed to support your health, stability, and time away.
As a Senior Forward Deployed Engineer in Applied AI, you will act as the primary driver for customers’ most critical AI initiatives. You will own end-to-end engineering from early conversational prototypes through production-ready, scalable, and secure agentic workflows, including the initial Customer User Journeys (CUJs) deployed at customer sites.
What you’ll do
- Own the end-to-end engineering lifecycle for conversational AI solutions, moving from initial demonstrations to scalable, production-grade business value and secure deployments.
- Lead technical delivery for Conversational AI pilots and help establish the first Customer User Journeys (CUJs) for major customers at their sites.
- Develop evaluation (Eval) pipelines and observability frameworks to optimize agentic workloads, with emphasis on reasoning loops, tool selection, and reducing latency while maintaining security and networking requirements.
- Spot repeatable field patterns and technical friction points across the Google AAI stack, then turn them into reusable modules or engineering feature requests.
- Co-build with customer engineering teams to apply Google-grade development best practices that support long-term success and strong end-user adoption.
- Serve as lead developer for complex Conversational AI and CX applications, progressing from rapid prototypes to production-ready agentic workflows (including multi-agent systems and MCP servers) that support measurable ROI.
- Architect and code conversational flows that connect Google Conversational AI products to customers’ live infrastructure, including APIs, legacy data silos, and security perimeters.
- Debug agent logic and optimize tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real time.
- Connect agents to enterprise knowledge bases and optimize RAG chunking to reduce hallucinations.
What you bring
- 10+ years of software development experience using Python or similar coding languages.
- Experience leading the development of complex Conversational AI and CX applications, transitioning from prototypes to production-ready agentic workflows such as multi-agent systems and MCP servers.
- Experience architecting and coding conversational flows integrated with live customer infrastructure, including APIs, legacy data silos, and security perimeters.
- Experience architecting AI systems on cloud platforms (e.g., GCP).
- Experience deploying resources via Terraform or similar tools to automate setup of agents, functions, and networking.
- Experience building full-stack applications that interact with enterprise IT infrastructure and supporting external customer projects.
- 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 for real-time failure resolution.
- Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking.
Technology focus
- Python, Google AAI stack, Machine Learning Operations (MLOps), GCP, Terraform, MCP servers, multi-agent systems, ReAct, self-reflection, RAG
Hybrid location
Atlanta, GA (hybrid) with a hybrid footprint across multiple locations: Atlanta, Nashville, Chicago, Dallas, and New Jersey.
Compensation
The base compensation range for this role in the posted location is $88,544 - $207,401 per year.
Benefits
- Paid time off based on employee grade (A-F): Vacation 12-25 days depending on grade, plus company paid holidays, Personal Days, and Sick Leave.
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).
- Life and disability insurance.
- Employee assistance programs.
- Other benefits provided by local policy and eligibility (U.S. and Canada).
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 the largest customers at their sites.
