The Aerospace Corporation Logo

The Aerospace Corporation

Sr Advanced AI Engineer

Posted An Hour Ago
Be an Early Applicant
Hybrid
Phoenix, AZ
Senior level
Hybrid
Phoenix, AZ
Senior level
Design and build production-grade AI services that integrate classic ML, LLMs, and agentic components. Implement RAG pipelines, vector DBs, agent tool adapters, policy and safety guardrails, AWS-based orchestration, microservices, testing frameworks, and observability; collaborate with cross-functional teams to deploy scalable, secure AI-driven applications.
The summary above was generated by AI

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 

Beyond a performance-driven salary, you'll work alongside dedicated experts on technology that's advancing aviation. As a Honeywell Aerospace employee, you're eligible for a comprehensive benefits package that includes:

• 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

Honeywell Aerospace products and services are found on aircraft across commercial aviation, defense and space. We operate through three business areas: 

  • 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. 


#LI-Hybrid

Similar Jobs

An Hour Ago
Remote or Hybrid
United States
Senior level
Senior level
Software • Analytics • Hospitality
Lead planning, resourcing, execution, and delivery of enterprise projects. Track milestones, manage stakeholders and vendors, report progress, recommend schedule/cost adjustments, and update project information in IDeaS CRM while improving processes and ensuring quality.
Top Skills: Ideas CrmMS OfficeMs WindowsProject Management Tools
An Hour Ago
Remote or Hybrid
United States
Senior level
Senior level
Fintech • Software
Partner with sales leadership to improve forecast accuracy, analyze pipeline health, build quota and territory models, create KPI dashboards, optimize GTM processes, and present data-driven recommendations to executives to drive revenue and operational efficiency in a SaaS environment.
Top Skills: AnaplanPower BISalesforceTableau
An Hour Ago
In-Office or Remote
United States
115K-130K Annually
Senior level
115K-130K Annually
Senior level
Big Data • Information Technology • Software • Analytics • Energy
Lead power market analysis and forecasting, develop market models, and produce CRR/FTR and broad power market publications. Provide client-facing insights, host webinars, and generate trade/congestion risk recommendations. Mentor junior staff, collaborate cross-functionally, and represent the company as an industry thought leader.
Top Skills: CrrDayzerEnverusErcotFtrMisoPlexosPowerworldUplan

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account