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Autonomy Engineer Jobs in Arizona (NOW HIRING)

Inficare Technologies

Lead AI Engineer

Phoenix, AZ · On-site

$99K - $131K/yr

Lead AI Engineer Location: Phoenix AZ/Sunrise FL its day 1 onsite Duration: Long term Skill Set: AI ... Evaluation, observability, and safety tooling for autonomous systems * Lead technical design ...

ITBMS Inc.

Java Engineer

Phoenix, AZ · On-site

$51.50 - $70.50/hr

... autonomous coding agents (e.g., Devin) to accelerate delivery and enhance engineering efficiency.

New

Gatik AI

Robotics Engineer

Phoenix, AZ

Who we are Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply ... About the role We are looking for a Robotics Engineer to join our self-driving technology team. In ...

Gatik AI

Robotics Engineer

Phoenix, AZ · On-site

Who we are Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply ... About the role We are looking for a Robotics Engineer to join our self-driving technology team. In ...

Cintal

Systems Engineer 4

Tucson, AZ · On-site

$90K - $115K/yr

Autonomous TRUCK Integration and Validation Engineer * Hands-on experience with large machines: Gain practical knowledge and expertise in working with heavy machinery in real-world scenarios.

Komatsu

Principal Software Engineer

Tucson, AZ · On-site

$116K - $155K/yr

These are production autonomous systems operating 24/7 in harsh, dynamic environments where safety, reliability, and performance matter. We are looking for a Principal Software Engineer to help shape ...

Cintal

Controls Engineer - 2nd Shift

Tucson, AZ · On-site

$80K - $98K/yr

This is for an Autonomous TRUCK Integration and Validation Engineer on our 2nd shift team. * Hands-on experience with large machines: Gain practical knowledge and expertise in working with heavy ...

Swarmbotics AI

Mechanical Engineer

Phoenix, AZ · On-site

We focus on building swarms of robots that incorporate a low-cost BOM, an autonomous stack ... Position description Swarmbotics is looking for an experienced Mechanical Engineer to spearhead ...

American Express

AI Engineer III

Phoenix, AZ · On-site

$103K - $174K/yr

... the broader engineering community through open source, our mission is to power your success ... These systems power autonomous workflows, decision support, and customer-facing experiences-while ...

American Express

Senior AI Engineer I

Phoenix, AZ · On-site

$123K - $215K/yr

Senior AI Engineer I - Agentic AI Joining Amex Tech means discovering and shaping your contribution ... These systems power autonomous workflows, decision support, and customer-facing experiences-while ...

TSMC

Senior Agent AI Engineer

Phoenix, AZ · On-site

$128K - $176K/yr

As a Senior Agent AI Engineer , you will design and build autonomous agents capable of reasoning, decision-making, and interacting with external systems (APIs, databases, external tools). You will ...

TSMC

Senior Agent AI Engineer

Phoenix, AZ · On-site

$128K - $176K/yr

As a Senior Agent AI Engineer , you will design and build autonomous agents capable of reasoning, decision-making, and interacting with external systems (APIs, databases, external tools). You will ...

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All JobsAutonomy Engineer JobsAutonomy Engineer Jobs in Arizona

Autonomy Engineer information

What are the key skills and qualifications needed to thrive in the Autonomy Engineer position, and why are they important?

To thrive as an Autonomy Engineer, you need expertise in robotics, control systems, sensor integration, and software development—often supported by a degree in engineering, computer science, or a related field. Familiarity with programming languages like C++ or Python, simulation environments such as ROS (Robot Operating System), and potentially certifications in robotics or AI are highly valuable. Strong problem-solving abilities, collaborative teamwork, and effective communication skills distinguish top candidates in this field. These skills and qualities are essential for designing, implementing, and refining autonomous systems that operate reliably and safely in real-world environments.

What are the typical projects and daily responsibilities of an Autonomy Engineer?

Autonomy Engineers typically work on projects involving the development, testing, and optimization of autonomous systems such as vehicles, drones, or robots. Daily responsibilities may include designing algorithms for sensor fusion or navigation, writing and reviewing code, integrating hardware with software, and running simulations or field tests. Collaboration is frequent, as you'll coordinate closely with mechanical, electrical, and software engineers, as well as project managers. The work is hands-on and fast-paced, offering opportunities to see your contributions directly impact the performance and reliability of cutting-edge autonomous technology.

What does an Autonomy Engineer do?

An Autonomy Engineer develops and integrates algorithms, sensors, and software to enable autonomous systems such as self-driving cars, drones, or robotics. They work with machine learning, computer vision, control systems, and sensor fusion to enhance navigation, perception, and decision-making capabilities. Their role involves testing and optimizing autonomous behaviors in simulations and real-world environments to ensure safety and efficiency.

What are popular job titles related to Autonomy Engineer jobs in Arizona? For Autonomy Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Autonomy Engineer jobs in Arizona look for? The top searched job categories for Autonomy Engineer jobs in Arizona are:
Autonomy Engineer jobs near you
Infographic showing various Autonomy Engineer job openings in Arizona as of June 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution.
Lead AI Engineer

Lead AI Engineer

Inficare Technologies

Phoenix, AZ • On-site

$99K - $131K/yr

Full-time

Posted 21 days ago

Job description

Role : Lead AI Engineer
Location: Phoenix AZ/Sunrise FL its day 1 onsite
Duration: Long term
Skill Set: AI, AWS, Typescript, Javascript, Python, GO LangGraph, LangChain, AirFlow
The Role
As a AI Engineer - Agentic AI, you will operate as a senior individual contributor within Technology, helping define how agentic AI systems are designed, built, and operated across the company.
You will work at the intersection of agentic system architecture and hands-on execution: designing core frameworks, writing production code, reviewing critical designs, and guiding teams through complex technical decisions. This role does not include people management; your impact comes from technical leadership, sound judgment, and the ability to turn ambiguity into reliable, scalable agentic systems.
You will work closely with Product and UX partners to shape a shared vision for agentic AI experiences. While product teams own prioritization, Engineers are expected to actively influence what gets built and how agentic systems come together across teams.
This is an individual contributor, hands-on, deeply technical role with broad architectural ownership and high organizational impact; however, as the team grows, you will take on increasing responsibility for technical leadership and people development within the agentic AI space.
What You'll Do
  • Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.
  • Design, build, and operate production-grade agentic AI systems used across multiple products.
  • Own and evolve shared agentic AI capabilities, including:
  • Agent frameworks and orchestration layers
  • Planning, tool use, and memory strategies
  • Retrieval and grounding (RAG) pipelines
  • LLM infrastructure, inference, and model gateways
  • Evaluation, observability, and safety tooling for autonomous systems
  • Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.
  • Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production.
  • Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.
  • Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.

Technical Environment
We don't hire to a narrow checklist, but candidates should be comfortable operating in a modern, enterprise-scale engineering environment with a strong emphasis on agentic AI.
Core engineering stack
  • Languages: TypeScript, Python, Go
  • APIs and services: REST, gRPC
  • Cloud and infrastructure: AWS and/or GCP, Kubernetes
  • Distributed systems: event-driven architectures, including Kafka
  • Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc

Agentic AI and ML
  • Integration of commercial and open-source LLMs into agentic workflows
  • Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives
  • Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow
  • Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (TypeScript)

. Across all systems, we emphasize evaluation, observability, safety, and reliability, reflecting the responsibility of deploying autonomous AI in a regulated, customer-facing environment.
What We're Looking For
  • 10+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure
  • Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.
  • Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
  • Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
  • Fluency with AI-assisted and agentic development workflows.
  • Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.
  • Ability to influence technical direction and align teams without formal authority.
  • Experience in workflow engines, async processing, queues, and streaming systems.

Preferred Qualifications
  • Experience building agentic systems in fintech or other regulated industries.
  • Experience as a founding engineer or early technical leader in AI-driven products.
  • Demonstrated success delivering technically complex autonomous systems that customers actively rely on.
  • Meaningful contributions to open-source AI or agentic frameworks.
  • Familiarity with fine-tuning, model optimization and inference pipelines is a plus

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