Senior Forward Deployment Engineer Job Princeton area,New Jersey USA,Software Development

About Quantiphi:

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research.

Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

Our industry recognition includes: 21x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. Top analyst recognitions from Gartner, ISG, and Everest Group. Consecutive certifications as a Great Place to Work.

Work Location:

New York or San Fransico, California

Experience Level:

9+ years

Type:

Full time

Role:

We are seeking a highly experienced Senior Forward Deployed Engineer (FDE) to lead the architecture, design, and execution of complex, enterprise-grade applications. In this role, you will bridge technical vision and execution, driving multi-component systems from concept to delivery. You will work across the full stack—from modern React user interfaces to scalable Python micro services, distributed data pipelines, and cloud infrastructure.

If you thrive in ambiguous environments, bring strong architectural intuition, and enjoy mentoring engineers while leveraging AI-assisted workflows, this role is for you.

Responsibilities:

Lead the planning, architecture, and execution of large-scale technical initiatives and multi-component systems. Drive end-to-end technical design for complex features, ensuring systems are resilient, performant, and aligned with overall platform strategy. Identify technical debt, execution blockers, and performance bottlenecks to continuously improve system health and delivery efficiency. Lead technical delivery through ambiguity with strong discipline and ownership of outcomes. Coordinate cross-functional initiatives across software engineers, data engineers, product partners, and key stakeholders.

Promote modern engineering best practices, including the integration of AI-assisted development tools across the entire Software Development Life Cycle (SDLC). Mentor and guide engineers, raising the technical bar and fostering depth across the team. Serve as a technical authority and advocate for scalable, maintainable engineering standards.

Skills Required:

9+ years of hands-on software engineering experience building and scaling complex, production-grade systems.
Proven track record of technical influence, mentorship, and driving delivery across high-impact projects.
Strong architectural intuition with deep expertise in both full-stack development and modern data architecture.
Expert knowledge of React and modern JavaScript/Type Script ecosystems.
Deep expertise in Python and high-performance frameworks like FastAPI.
Advanced proficiency with PostgreSQL, RDS / Aurora, and Redis for state management and high-throughput caching.
Experience with PySpark (implementing Medallion architecture / ETL pipelines) and workflow orchestrators like Kestra.
Hands-on experience with AWS core services, specifically EKS (Kubernetes), RDS, and cloud-native deployments.
Demonstrated experience leveraging AI-assisted development tools (e.g., Git Hub Copilot, Cursor, LLM workflows) to accelerate development, testing, and documentation.

Competencies:

Deep sense of accountability for…