Sr Advanced AI Engineer

Honeywell Aerospace US LLC; Phoenix (AZ); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical Insurance

Disability Coverage

401(k) Match

Educational Assistance

Parental Leave

Paid Holidays

Paid Time Off

Job summary

Honeywell Aerospace US LLC in Phoenix, AZ is seeking a Senior Advanced AI Engineer to drive development of AI solutions across classic ML, GenAI, and agentic systems. You will design services, build RAG pipelines, and implement guardrails while collaborating with cross-functional teams in a hybrid work setting.

The role requires extensive experience in production AI/ML, cloud-native Python/TypeScript services, and strong emphasis on security, observability, and scalable architectures.

Qualifications

• 7+ years of professional software engineering experience.
• 3+ years designing, building, and deploying AI/ML/GenAI/LLM-powered applications in production.
• Experience with AI orchestration frameworks such as LangGraph and LangChain.
• Strong hands-on experience building cloud-native services using Python (FastAPI) and/or Node.js/TypeScript.
• Experience implementing RAG architectures, vector databases, and semantic search solutions.
• Experience integrating LLM APIs and AI services into enterprise applications.
• Knowledge of secure AI application design, guardrails, governance, and observability practices.

Responsibilities

• Design and develop AI application services and middleware connecting ML models, GenAI/LLM systems, and agentic AI components to enterprise applications and workflows.
• Build production-grade RAG services, including chunking pipelines, embedding APIs, retrieval endpoints, caching, re-ranking, and content policy enforcement.
• Develop agent tool adapters and integration layers enabling AI agents to safely perform actions via secure APIs.
• Implement policy, safety, and guardrail middleware that enforces PII protection, content moderation, compliance rules, and safe function execution for agentic systems.
• Create event-driven and asynchronous services using AWS-native capabilities for agent orchestration, callbacks, monitoring, and workflow routing.
• Build microservices and SDKs that enable scalable, low-latency interactions between AI models, vector databases, and enterprise systems.
• Collaborate with AI Architects, Platform Engineers, MLOps, Data Engineers, and Data Scientists to ensure systems are reliable, secure, observable, and aligned with best practices.
• Implement robust testing frameworks for AI-driven services including regression tests, guardrail tests, prompt and agent behavior evaluations, and functional correctness checks.
• Participate in code reviews, architectural discussions, and continuous improvement initiatives to enhance the performance and reliability of AI-powered applications.

Skills

Software engineering

AI/ML in prod

LangChain/LangGraph

Python FastAPI

Vector databases

LLM integration

Security & governance

Education

Bachelor's degree in CS/SE/AI

Job description

As a Senior Advanced AI Engineer here at Honeywell, you will play a crucial role in the development of advanced AI solutions that drive business insights, enhance decision‑making processes and empower AI solutions. Your expertise will help in critical data science development activities across all AI modalities (classic, Gen and agentic) and data types (structured and unstructured).

You will report directly to our AI Director, and you’ll work out of our Phoenix, AZ or Charlotte, NC location on a hybrid work schedule.

KEY RESPONSIBILITIES

• Design and develop AI application services and middleware that connect classic ML models, GenAI/LLM systems, and agentic AI components to enterprise applications and workflows.
• Build production‑grade RAG (Retrieval-Augmented Generation) services, including chunking pipelines, embedding APIs, retrieval endpoints, caching, re‑ranking, and content policy enforcement.
• Develop agent tool adapters and integration layers enabling AI agents to safely perform actions (e.g., Snowflake queries, workflow triggers, system updates) using secure, controlled APIs.
• Implement policy, safety, and guardrail middleware that enforces PII protection, content moderation, compliance rules, and safe function execution for agentic systems.
• Create event‑driven and asynchronous services using AWS‑native capabilities for agent orchestration, callbacks, monitoring, and workflow routing.
• Build microservices and SDKs that enable scalable, low‑latency interactions between AI models, vector databases, and enterprise systems.
• Collaborate with AI Architects, Platform Engineers, MLOps, Data Engineers, and Data Scientists to ensure systems are reliable, secure, observable, and aligned with best practices.
• Implement robust testing frameworks for AI‑driven services including regression tests, guardrail tests, prompt and agent behavior evaluations, and functional correctness checks.
• Participate in code reviews, architectural discussions, and continuous improvement initiatives to enhance the performance and reliability of AI‑powered applications.

Qualifications

YOU MUST HAVE

• 7 or more years of professional software engineering experience.
• 3 or more years of hands‑on experience designing, building, and deploying AI/ML, GenAI, or LLM‑powered applications in production environments.
• Experience with AI orchestration frameworks such as LangGraph and LangChain.
• Strong hands‑on experience building cloud‑native services using Python (FastAPI) and/or Node.js/TypeScript.
• Experience implementing RAG architectures, vector databases, and semantic search solutions.
• Experience integrating LLM APIs and AI services into enterprise applications.
• Knowledge of secure AI application design, guardrails, governance, and observability practices.

WE VALUE

• Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or related field.
• Experience building integrations for agentic AI systems, including tool registries, function‑calling logic, multi‑step planning support, memory stores, and safety guardrails.
• Experience with vector databases and retrieval frameworks (Databricks Vector Search, OpenSearch, Pinecone, Milvus).
• Knowledge of LLM/GenAI concepts (prompt engineering, orchestration, multi‑turn conversation flows, caching strategies, re‑ranking).
• Familiarity with CI/CD practices for AI services and collaboration with MLOps (MLflow, evaluation pipelines, quality gates).
• Experience building observability into AI services—tracing, metrics, logs, alerting, and model/agent behavior monitoring.
• Strong problem solving skills with an eye toward performance, scalability, and maintainability.
• Curiosity, adaptability, and a passion for applying emerging AI technologies responsibly and effectively.

U.S. CITIZENSHIP REQUIREMENT

Must be a US Citizen due to contractual requirements.

BENEFITS OF WORKING FOR HONEYWELL AEROSPACE

• Employer‑subsidized medical, dental, vision and life insurance
• Short‑term and long‑term disability coverage
• 401(k) match, flexible spending accounts and health savings accounts
• Employee assistance program and educational assistance
• Parental leave and 12 paid holidays
• Paid time off for vacation, personal and sick time

Explore your benefits: https://honeywellaerospacebenefits.com/

ABOUT HONEYWELL AEROSPACE

Join a company that’s reintroducing itself to the aviation community we’ve helped advance for more than a century. At Honeywell Aerospace (NASDAQ: HONA), we’re launching as an independent, publicly traded aerospace and defense company built on a legacy of operational excellence and mission‑focused execution.

Our new brand identity pairs that heritage with real momentum, as we build technology that helps pilots navigate with confidence, aircraft operate more efficiently, and operators stay ahead of change. With our systems on board 90% of the world’s aircraft, your work here has reach that’s rare to find anywhere else.

Focusing on our customers, investing in innovation, and building a culture of accountability and performance is how we’re shaping what comes next.

Every horizon. Every mission. Every day.

ABOUT THE BUSINESS UNIT

• Electronic Solutions develops the avionics, navigation systems, sensors and electromagnetic defense technology on board 90% of the world’s aircraft
• Engines & Power Systems provides the propulsion, auxiliary power and electrical systems that keep those aircraft flying
• Control Systems supplies the thermal and motion control systems that support takeoff, landing and the safety of everyone on board

With approximately 58,000 employees worldwide and net sales of $17.4B in 2025, we are also advancing systems for autonomous and supersonic platforms — bringing the same focus on safety and efficiency to the next era of flight. Explore our businesses: https://www.honeywellaerospace.com

Posting Timeline

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting Date: August 7, 2026.

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