Senior AI Engineer - Agentic Solutions & RAG

Moog Inc; East Aurora (NY); Hybrid; USD 135,000 - 155,000; Full time

Benefits offered by this job

Profit sharing

401k matching

Employee Stock Purchase Plan

Flexible Spending Accounts

Health Savings Accounts

Flexible Paid Time Off

Holidays & Parental Leave

Job summary

Moog Inc. is seeking a Senior AI Engineer - Agentic Solutions & Digital Thread to lead enterprise AI initiatives in a regulated aerospace environment.

You will design and implement agentic architectures, RAG systems, and automation with human oversight, grounding AI in enterprise knowledge and MDM foundations. The role requires 8+ years of software development with 3+ years in AI/ML, strong Python and C#/.NET skills, and deep experience with Azure cloud services, CI/CD, and data integration.

Qualifications

• Typically, a bachelor's degree in computer science, Software Engineering, AI/ML, or equivalent experience.
• 8+ years of professional software development, with 3+ years focused on AI/ML solution development.
• Hands-on experience with agentic AI frameworks (Semantic Kernel, AutoGen, LangChain/LangGraph, CrewAI, or equivalent), MCP (Model Context Protocol), multi-agent orchestration, and secure tool integration patterns.
• Demonstrated experience designing and implementing advanced RAG architectures, including vector databases, embedding models, retrieval strategies, and Context Engineering techniques to ground AI responses in enterprise knowledge.
• Strong communication and collaboration skills with technical and non-technical stakeholders.
• Proficiency in Python and at least one additional language (C#, .NET, or TypeScript).
• Strong experience with Microsoft Azure services and cloud-native architectures.
• Experience with CI/CD pipelines, Infrastructure as Code, automated testing, and Agile/DevOps delivery.
• Experience with Databricks, lakehouse architectures, and enterprise data integration patterns.
• Experience with event-driven architectures and integration platforms (Azure Service Bus, Event Grid, Kafka).
• Exposure to MDM, data governance, data quality frameworks, or rules-based systems.
• Exposure to digital thread concepts in manufacturing, including PLM (Teamcenter), ERP (SAP), MES, and QMS integration.
• Experience in aerospace, defense, or regulated manufacturing environments (ITAR, EAR, CMMC, DFARS).
• Familiarity with AI governance frameworks (e.g., NIST AI RMF) and responsible AI practices.
• Azure certifications (Azure AI Engineer, Azure Solutions Architect) are a plus.

Responsibilities

• Design and implement agentic software architectures where AI agents perform code generation, test automation, and documentation, always under human oversight with deterministic guardrails and clear accountability boundaries.
• Build agent workflows that exercise rules management, auditability, deterministic logic, high trust thresholds, and reusability across domains, using MDM and data quality platforms as foundational workloads, with fallback-to-human protocols for safety-critical decisions.
• Design and implement advanced RAG architectures that ground AI responses in authoritative enterprise data.
• Build and maintain vector stores, embedding pipelines, and hybrid retrieval strategies optimized for domain-specific technical content.
• Enforce data classification, export control boundaries, and role-based access controls.
• Develop event-driven integrations aligned to digital thread principles.
• Build AI-enabled capabilities that consume digital thread events to automate downstream decision-making and exception detection.
• Implement thread contracts to ensure deterministic, auditable system behavior that eliminates manual reconciliation.
• Design and maintain AI-enabled applications using Python, C#/.NET on Microsoft Azure, leveraging Azure OpenAI, Claude, Azure AI Search, Databricks, and agent frameworks (Semantic Kernel, AutoGen, LangChain, or equivalent).
• Implement CI/CD pipelines, Infrastructure as Code, automated testing, monitoring, telemetry, and operational runbooks for production-grade reliability.
• Implement rule-level execution logs, record-level lineage, match/merge traceability, and interface health dashboards with explainability layers for state changes and agent decisions.
• Ensure embedded governance-by-design and compliance with ITAR/EAR, CMMC/DFARS, and CUI handling requirements.
• Collaborate with product owners, enterprise architects, data teams, and business stakeholders.
• Coach and review the work of junior developers.

Skills

AI/ML development

Agentic AI frameworks

Python

C#/.NET

Azure cloud

CI/CD / IaC

MDM / data governance

Communication

Team mentorship

Azure OpenAI

Databricks

LangChain/LangGraph

Education

Bachelor's degree in CS/SE/AI

Tools

Semantic Kernel

AutoGen

LangChain/LangGraph

CrewAI

MCP (Model Context Protocol)

Azure OpenAI

Databricks

Azure Service Bus

Event Grid

Kafka

Job description

Moog Inc. is seeking a Senior AI Engineer - Agentic Solutions & Digital Thread to lead enterprise AI initiatives in a regulated aerospace environment.

You will design and implement agentic architectures, RAG systems, and automation with human oversight, grounding AI in enterprise knowledge and MDM foundations. The role requires 8+ years of software development with 3+ years in AI/ML, strong Python and C#/.NET skills, and deep experience with Azure cloud services, CI/CD, and data integration.