Senior Forward Deployment Engineer

Quantiphi; New York (NY); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Hybrid work culture

Exposure to Fortune 500 clients

Career growth opportunities

Job summary

Quantiphi, a leading AI-first digital engineering company, is seeking a Senior Forward Deployed Engineer to architect and deliver enterprise-grade applications across full stack—from React UIs to Python microservices and data pipelines. You will mentor engineers, drive end-to-end design, and lead initiatives spanning software, data, and cloud infrastructure.

You will work in a fast-growth environment with exposure to Fortune 500 clients, modern AI tools, and cloud-native deployments.

Qualifications

• 9+ years of hands-on software engineering in large-scale systems.
• Proven track record leading multi-component, enterprise-grade projects.
• Strong architectural intuition across full-stack and data layers.
• Expert-level knowledge of React and modern JavaScript/TypeScript ecosystems.
• Deep experience with Python, FastAPI, and data workflows (PySpark).
• Experience with AWS core services (EKS, RDS/Aurora) and high-throughput systems.
• Ability to mentor engineers and drive delivery with ownership and accountability.
• Familiarity with AI-assisted development tools and modern SDLC practices.

Responsibilities

• Lead planning, architecture, and execution of large-scale initiatives and multi-component systems.
• Drive end-to-end technical design ensuring resilience, performance, and alignment with platform strategy.
• Identify technical debt, blockers, and bottlenecks to improve health and delivery.
• Mentor engineers and raise the technical bar across the team.
• Coordinate cross-functional initiatives with software and data engineers, product partners, and stakeholders.
• Advocate for scalable, maintainable engineering standards and AI-assisted workflows.

Skills

Full-stack development

React/JS/TS

Python/FastAPI

Data architecture

Mentoring/leadership

Tools

React

TypeScript

Python

FastAPI

PostgreSQL

Redis

PySpark

Kestra

AWS

Kubernetes

Job description

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/TypeScript 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., GitHub Copilot, Cursor, LLM workflows) to accelerate development, testing, and documentation.

Competencies:

• Deep sense of accountability for product outcomes, platform quality, and system reliability.
• Ability to decompose high-level business requirements into clear, executable technical strategies.
• Exceptional ability to translate complex technical decisions to non-technical stakeholders and cross-functional teams.

What is in it for you:

• Be part of the fastest-growing AI-first digital transformation and engineering company in the world
• Be a part of an energetic team of highly dynamic and talented individuals
• Exposure to working with fortune 500 companies and innovative market disruptors
• Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Thank you for your interest in Quantiphi! We are a team that dreams together and collaborates to ensure success. We are currently looking for exceptional individuals who can join us and contribute to a fun, diverse and hybrid work culture. As a part of the Quantiphi family, you will get ample opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe. Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business. We solve the toughest and most complex business problems with the latest and cutting-edge technologies and to make this happen, we have a vibrant, diverse and talented set of professionals we proudly refer to as the Quantiphi family. Our culture is built on transparency, diversity, integrity, learning and growth. We are committed to provide our teams with an environment that helps them to learn, grow and flourish in their professional as well as personal lives.

For more details, visit: Website or LinkedIn Page.