Technical Architect - Forward Deployment Engineer AI

Role: Forward Deployment Engineer (FDE) Technical Lead - Artificial Intelligence

Location Options: Santa Clara, CA / Atlanta, GA / Cincinnati, OH / Edison, NJ

*Candidates should be comfortable with working onsite at either the client site or TCS Office at one of these locations

*Job Description:

The Forward Deployment Engineer (FDE) Technical Lead is a hands-on engineering leader responsible for solving complex problems by combining software engineering, AI/GenAI, data, cloud, integration and platform technologies.

The Technical Lead works directly with customer stakeholders, architects and engineering teams to understand business problems, define the technical approach, rapidly develop prototypes, and lead solutions through engineering integration and production deployment.

Unlike a traditional development lead, the FDE Technical Lead is expected to operate effectively in ambiguous environments, make pragmatic technical decisions, write and review code, troubleshoot complex issues, and take end-to-end ownership of customer outcomes.

·Lead technical discovery sessions to understand customer business problems, existing technology landscape, data, applications and constraints.

·Translate customer requirements and business problems into scalable technical solutions.

·Own the end-to-end technical implementation from discovery and prototyping through production deployment.

·Design and develop application services, APIs, integrations and AI-enabled solutions.

·Remain hands-on with coding, debugging, code reviews and technical troubleshooting.

·Lead rapid prototyping and Proof-of-Concept development to validate solution approaches.

·Define application architecture, APIs, data flows, integration patterns and deployment approaches.

·Guide engineers across software, AI, data, cloud and platform technologies.

·Review code and ensure engineering quality, security, scalability and maintainability.

·Diagnose complex application, data, integration, infrastructure and production issues.

·Drive solutions from prototype to production-ready implementation.