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Sr AI Software Developer
As a **Sr AI Software Developer **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
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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.
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Build production‑grade RAG (Retrieval-Augmented Generation) services, including chunking pipelines, embedding APIs, retrieval endpoints, caching, re-ranking, and content policy enforcement.
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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.
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Implement policy, safety, and guardrail middleware that enforces PII protection, content moderation, compliance rules, and safe function execution for agentic systems.
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Create event‑driven and asynchronous services using AWS-native capabilities for agent orchestration, callbacks, monitoring, and workflow routing.
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Build microservices and SDKs that enable scalable, low‑latency interactions between AI models, vector databases, and enterprise systems.
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Collaborate with AI Architects, Platform Engineers, MLOps, Data Engineers, and Data Scientists to ensure systems are reliable, secure, observable, and aligned with best practices.
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Implement robust testing frameworks for AI-driven services including regression tests, guardrail tests, prompt and agent behavior evaluations, and functional correctness checks.
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Participate in code reviews, architectural discussions, and continuous improvement initiatives to enhance the performance and reliability of AI-powered applications.
YOU MUST HAVE
- 5 or more years of experience in software development, ideally building backend, middleware, or distributed systems.
- Strong proficiency in Python or Java/TypeScript, with hands-on experience building REST APIs, event-driven services, and microservices.
- Experience working with AI/ML application patterns, including RAG, vector stores, prompt orchestration, and model/LLM integration.
- Practical experience deploying applications on AWS using services such as Lambda, API Gateway, ECS/EKS, Step Functions, SQS/SNS, or DynamoDB.
- Familiarity with Databricks (Delta Lake, SQL Warehouses, Model Serving, Vector Search) and integration patterns for data access and processing.
- Experience building data or AI workflows that interact with Snowflake, including secure queries, role-based access, and performance optimization.
- Experience working with Dataiku APIs or automation for data workflows, scoring endpoints, or integration into AI services.
- Strong understanding of API design, authentication/authorization, secure coding practices, and system observability.
- Ability to collaborate in an agile, cross-functional environment with platform engineering, MLOps, data engineering, and data science teams.
WE VALUE
- 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, Open Search, 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.
PERSON REQUIREMENTS:
Due to compliance with US export control laws and regulations, candidate must be a US Person, which is defined as, US citizen, a US permanent resident, or have protected status in the US under asylum or refugee status.
BENEFITS OF WORKING FOR HONEYWELL
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here
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. Job Posting Date: February 19th, 2026.
ABOUT HONEYWELL
Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world’s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell: click here
THE BUSINESS UNIT
Honeywell Aerospace Technologies (AT) products and services are found on virtually every commercial, defense, and space aircraft in the world. We build aircraft engines, cockpit and cabin electronics, wireless connectivity systems, mechanical components and more, and connect many of them via our high-speed Wi-Fi offerings. Our solutions create healthier air travel, more fuel-efficient and better-maintained aircraft, more direct and on-time flight arrivals, safer skies and airports, and more comfortable flights, along with several innovations and services that reflect exciting and emerging new transportation methods such as autonomous and supersonic flight. Revenues in 2023 for Honeywell Aerospace Technology were $14B and there are approximately 21,000 employees globally. To learn more, please visit click here.
#AERO26
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About Honeywell

Honeywell
PublicThe future is what we make it.
10000+
Employees
Charlotte
Headquarters
Reviews
3.2
4 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
4.0
Career
3.0
Management
2.5
Pros
Good team and helpful colleagues
Fair pay and good benefits
Training and resources available
Cons
Limited job progression
Old boys club culture
High expectations with unclear answers
Salary Ranges
1,391 data points
Mid/L4
Senior/L5
Mid/L4 · Data Analyst II
2 reports
$136,600
total / year
Base
$105,077
Stock
-
Bonus
-
$136,600
$136,600
Interview Experience
4 interviews
Difficulty
2.5
/ 5
Duration
14-28 weeks
Offer Rate
25%
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Hiring Manager Interview
5
Panel Interview
6
Online Assessment
7
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Coding/Algorithm
Culture Fit
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