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Sr AI Software Developer

Honeywell

Charlotte · Hybrid Full-time Senior Yesterday

About the role

Sr AI Software Developer

Location: Phoenix, AZ or Charlotte, NC (hybrid work schedule)
Reports to: AI Director


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

  • 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, 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. Person Requirements

Due to compliance with US export control laws and regulations, candidate must be a US Person, which is defined as a US citizen, a US permanent resident, or have protected status in the US under asylum or refugee status.


Benefits of Working for Honeywell

  • Competitive salary
  • Employer‑subsidized Medical, Dental, Vision, and Life Insurance
  • Short‑Term and Long‑Term Disability
  • 401(k) match
  • Flexible Spending Accounts, Health Savings Accounts, Employee Assistance Program, Educational Assistance
  • Parental Leave, Paid Time Off (vacation, personal business, sick time, parental leave)
  • 12 Paid Holidays

For more information, visit: click here


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 across 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: $14 B
  • Approximately 21,000 employees globally

To learn more, please visit: click here

#AERO26


About Us

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.


Application Period: Estimated 40 days from the job posting date; may be shortened or extended depending on business needs and candidate availability.
Job Posting Date: February 19th, 2026.

Requirements

  • 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.

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.

Benefits

Medical insuranceDental insuranceVision insuranceLife insuranceShort-Term Disability insuranceLong-Term Disability insurance401(k) matchFlexible Spending AccountsHealth Savings AccountsEAPEducational AssistanceParental LeavePaid Time OffPaid Holidays

Skills

AWS API GatewayAWS ECSAWS EKSAWS LambdaAWS SNSAWS SQSAWS Step FunctionsDataikuDatabricksDynamoDBJavaLLMMLOpsPythonRAGREST APIsSnowflakeTypeScriptVector databases

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