Forward Deployed Engineer

Job Title: Forward Deployed Engineer 
Employment Type: Contract (1099/ C2C /W2 )
Experience Required: 7+ years

Skills: Forward Deployed Engineer, Python, Java, TypeScript, JavaScript, LLM, RAG, AI Agents, Generative AI, Prompt Engineering, REST API, GraphQL, AWS, Docker, Kubernetes, CI/CD, SQL, Data Pipelines, System Integration, ERP, CRM, Fintech, Solutions Engineering

Job Summary

The global fintech platform behind TurboTax, QuickBooks, Credit Karma, and Mailchimp, We are  looking for a senior Forward Deployed Engineer to work directly with customers and internal business teams. You will turn ambiguous business problems into secure, production-grade solutions, including custom integrations and AI-powered workflows, and you’ll feed what you learn back into the core platform.

This is a hands-on, high-impact contract role for an engineer who can ramp up fast, work independently, and is equally comfortable writing code and presenting to stakeholders.

Responsibilities

• Partner with customers and stakeholders to understand workflows, pain points, and success metrics
• Design, build, and deploy custom integrations, applications, and AI/ML solutions on Intuit’s platform
• Rapidly prototype, validate with users, and harden solutions into scalable production systems
• Integrate Intuit APIs with customer systems such as ERP, CRM, banking, payroll, and data warehouses
• Build and tune LLM and agentic workflows, including prompt design, retrieval (RAG), evaluation, and guardrails
• Lead technical discovery, scoping, and solution architecture, and explain trade-offs to technical and non-technical audiences
• Own deployments end to end: implementation, monitoring, troubleshooting, and post-launch iteration
• Document customer patterns and gaps, and contribute reusable tooling and playbooks

Required Qualifications

• 10+ years of professional software engineering experience
• 3+ years in a customer-facing technical role (forward deployed, solutions engineering, consulting, or technical account management)
• 2+ years of hands-on experience with LLMs, RAG, agents, or production ML deployment
• 4+ years building and integrating REST/GraphQL APIs and third-party systems
• 3+ years with AWS (or another major cloud), CI/CD, and containerized deployments
• Strong proficiency in Python, Java, or TypeScript/JavaScript
• Proven ability to work independently with minimal ramp-up
• Excellent written and verbal communication skills

Preferred Qualifications

• Background in fintech, accounting, payments, tax, or small-business software
• Strong SQL and data modeling skills, with data pipeline experience
• Familiarity with SOC 2, PCI, or GDPR environments
• A bias toward shipping, then iterating
  
  
  
• Certifications (a plus, not required):
  • AWS Certified Solutions Architect or Developer
  • AWS Certified Machine Learning Specialty or AI Practitioner
  • Certified Kubernetes Application Developer (CKAD)
  • Security certification (CISSP, Security+, or AWS Security Specialty)
  • Azure or Google Cloud equivalents