AI Field Engineer - Remote Eligible

AI Field Engineer

AI is rapidly transforming the world. Whether it's developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives.

Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production.

This is a client-facing technical role for someone who thrives at the intersection of deep engineering, AI expertise, and business impact. You'll lead multiple concurrent projects, solve complex problems under tight timelines, and build lasting relationships—helping customers unlock the full potential of our platform and services. This is a unique chance to combine technical depth with real-world impact. You'll be on the front lines helping some of the most innovative companies operationalize AI—while shaping how our professional services team scales. If you love building, problem-solving, and working directly with world-class teams, this role is for you.

While we are a fully remote company, candidates for this role must be based in the Buenos Aires area.

What You'll Do

Drive Technical Delivery: Lead the design and implementation of custom AI solutions that extend and complement our core SaaS platform.

Partner with Clients: Collaborate closely with client engineering teams, often embedded within their workflows, to build and optimize production AI systems.

Measure Impact: Define and monitor statistical metrics, KPIs, and heuristics to track model performance and business outcomes.

Troubleshoot and Optimize: Diagnose and resolve complex technical challenges across diverse architectures and environments.

Lead Engagements: Manage 3–4 concurrent client projects, balancing timelines, priorities, and executive-level communication.

Shape Our Practice: Partner with sales and product teams to scope new engagements, develop service packages, and define best practices as our professional services function grows.

What We're Looking For

Technical Expertise

• 2–5 years of hands-on software development experience, ideally in Python
• Proven experience developing and deploying machine learning models in production
• Strong understanding of AI architectures, orchestration frameworks, and deployment strategies
• Deep familiarity with statistical metrics, performance evaluation, and data-driven experimentation
• Comfort working across cloud platforms and containerized environments

Client & Business Acumen

• Confident and empathetic communicator who can translate complex technical concepts for business stakeholders
• Skilled at managing multiple client relationships and deliverables simultaneously
• Experience in fast-paced startup or consulting environments where adaptability is key
• Ability to spot and articulate new opportunities for client value and service expansion

Mindset

• Low ego, collaborative, and eager to solve hard problems
• Comfortable navigating ambiguity while driving toward results
• Excited to be part of a growing team building something new

Actual compensation is determined based upon a variety of job-related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

More About Arize

Arize's mission is to make the world's AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world.

Diversity & Inclusion @ Arize

• Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
• Culturally conscious events such as LGBTQ trivia during pride month
• We have an active Lady Arizers subgroup