AI Engineer Green Card Jobs

Overview

The Tech Strategic Programs organization delivers for Intuit and Tech Strategy by transforming and driving how our Technology ecosystem operates to accelerate outcomes for our customers. This small, yet mighty team works with senior leaders and partners across the company. We focus on strategic planning, the operating rhythm, executive narratives, workforce programs and delivering intelligent insights that accelerate execution across the tech portfolio and highest priority business growth areas.

We are looking for a strategic and rigorous engineering leader who is passionate about innovation and approaches AI agent design as an engineering discipline. As a Senior Staff Engineer, you will define the architectures, paved paths, and orchestration patterns that transform how Intuit executes its highest priorities. You will determine when to use agents, how to structure them (Single vs. Multi-Agent), and why specific topologies succeed where others fail.

Responsibilities

In this role, you will:

• Design and Build AI Agents: Architect, develop, and deploy AI agents and copilots that augment Intuit employees’ workflows, integrating with internal systems and tools.
• Own End-to-End AI Systems: Take solutions from concept to production—including model selection, prompt and context design, retrieval strategies, backend services, and conversational interfaces.
• Apply the Right Tool for the Problem: Evaluate business problems and determine whether they are best solved with LLMs, classical ML, or simpler rule-based approaches.
• Develop RAG and Context Pipelines: Build scalable, maintainable retrieval and context systems that provide high-quality grounding for AI agents.
• Innovate Through Rapid Prototyping: Create proofs-of-concept to explore new agent capabilities, frameworks, and integrations, then harden successful ideas for production use.
• Ensure Production Readiness & Reliability: Design systems that are secure, cost-efficient, and robust at enterprise scale. You will implement orchestration layers that minimize error amplification in multi-step workflows, ensuring that agentic hallucinations are caught before they cascade.
• Collaborate Cross-Functionally: Partner closely with product managers, designers, platform teams, and business stakeholders to deliver meaningful outcomes.
• Mentor and Influence: Provide technical leadership, mentor other engineers, and help shape best practices for AI agent development across the organization.

What you’ll bring:

• Speed as a habit: Drive velocity in the organization by accelerating customer, business, and technology outcomes by identifying and driving key opportunities across the company.
• Thought leadership: You will collaborate with other leaders at Intuit to influence and develop strategic direction, systems roadmap, and business and operational processes by providing the required technical guidance. Driving significant technology initiatives end-to-end, including horizontal layers of the architecture.
• GenAI landscape mastery: Continuously explore emerging trends, tools, and techniques in Generative AI. Follow trends and research topics of leveraging AI/GenAI to improve workforce efficiency.
• Understands customer behaviors: Partner with cross-functional partners to influence and drive end-to-end solutions for customer problems. Execute with a boundaryless mindset and contribute to solutions outside of your primary area of ownership.
• Durable Software solutions: Design and implement durable software solutions that will solve critical customer problems in a fast-paced environment. Create robust, scalable, and secure technical designs, effectively implementing them to balance short-term and long-term objectives, ensuring high availability and optimal performance of applications.
• Passionate for continuous learning: experimenting, and applying cutting-edge technology and software paradigms to solve customer problems. Be prepared to get hands-on and debug complex issues or create fully working POCs which teams can take forward.
• Communicate effectively: Explain complex designs to both technical and non-technical stakeholders and drive consensus.

Qualifications

• BS/MS in Computer Science or related area
• 8+ years of experience in software engineering, machine learning engineering, or related roles building large-scale, production systems.
• Strong proficiency in Python is required; experience with other programming languages (e.g., Java, J2EE) is a plus.
• Hands-on experience designing and deploying AI systems using large language models (LLMs) in real-world applications.
• Experience evaluating LLMs against traditional ML algorithms, with the ability to justify architectural tradeoffs based on cost, latency, and accuracy.

• Experience building and maintaining:

• Retrieval-Augmented Generation (RAG) pipelines

• Agent frameworks and orchestration patterns
• Model Context Protocol (MCP) servers or equivalent tool-use / function-calling architectures

• Conversational or chat-based interfaces (internal tools, copilots, or assistants)

• Ability to work independently, manage ambiguity, and deliver incrementally under aggressive timelines.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: Bay Area California $220,500 - $298,500 Southern California $205,500 - $277,500.