Senior AI Architect: Agentic Solutions & Digital Thread

Moog Inc.; Buffalo (NY); Hybrid; USD 135,000 - 155,000; Full time

Benefits offered by this job

Profit sharing

401k matching

Employee Stock Purchase Plan

Flexible Spending and Health Savings

Job summary

Moog Inc. is seeking a Senior AI Engineer – Agentic Solutions & Digital Thread in Buffalo, NY. The role focuses on architecting and delivering AI-enabled applications with agentic architectures, RAG, and enterprise data integration within a regulated aerospace/defense context.

You will lead design and implementation, collaborate with stakeholders, coach junior developers, and ensure governance, security, and compliance across ITAR/EAR environments.

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

Python

C#

Azure

CI/CD

Multi-agent systems

RAG (Retrieval-Augmented Generation)

Vector databases

Agentic AI frameworks (Semantic Kernel

AutoGen

LangChain/LangGraph

Databricks

Azure Service Bus / Event Grid

Data governance & security

Team leadership / mentoring

Education

Bachelor's degree in Computer Science or equivalent

Tools

Semantic Kernel

AutoGen

LangChain

Databricks

Azure Service Bus / Event Grid

Job description

Moog Inc. is seeking a Senior AI Engineer – Agentic Solutions & Digital Thread in Buffalo, NY. The role focuses on architecting and delivering AI-enabled applications with agentic architectures, RAG, and enterprise data integration within a regulated aerospace/defense context.

You will lead design and implementation, collaborate with stakeholders, coach junior developers, and ensure governance, security, and compliance across ITAR/EAR environments.