Senior AI Engineer - Agentic Solutions & Digital Thread

Moog; Buffalo (NY); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Moog seeks a Senior AI Engineer - Agentic Solutions & Digital Thread to design, build, and operate enterprise AI-enabled apps. You will lead multi-site AI initiatives, focusing on agentic architectures, RAG, and intelligent automation within ITAR/DFARS-compliant environments.

The role requires 8+ years in software and 3+ years in AI/ML, strong Python and a second language, and deep Azure cloud experience. Hybrid work from Buffalo, NY is offered.

Qualifications

• Bachelor's degree in computer science, software engineering, AI/ML or equivalent.
• 8+ years in software development; ≥3 years in AI/ML solution development.
• Hands-on with agentic AI frameworks and multi-agent orchestration.
• Experience designing advanced Retrieval-Augmented Generation architectures.
• Proficiency in Python and a second language (C#, .NET, or TS).
• Strong Azure services and cloud-native architectures.

Responsibilities

• Design and implement agentic software architectures with AI agents for code generation, test automation, and documentation.
• Build agent workflows with rules management, auditability, and deterministic logic.
• Develop advanced RAG architectures grounded in enterprise data.
• Maintain vector stores and embedding pipelines with hybrid retrieval.
• Enforce data classification, export controls, and RBAC.
• Develop event-driven integrations aligned to digital thread concepts.
• Create AI-enabled capabilities consuming digital thread events for decisions.
• Ensure deterministic, auditable thread contracts and proper governance.

Skills

AI frameworks

RAG architectures

Python

C#/.NET

Azure services

CI/CD

DevOps

LangChain

Security patterns

Multi-agent orchestration

Databricks

MLOps

Azure OpenAI

Vector stores

Education

Bachelor's degree in Computer Science or equivalent

Tools

Semantic Kernel

AutoGen

LangChain/LangGraph

CrewAI

MCP (Model Context Protocol)

Job description

Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work.

Job Title

Senior AI Engineer - Agentic Solutions & Digital Thread

Reporting To

Management, IT Applications Development

Work Schedule

Hybrid - Buffalo, NY

Moog's Corporate Group is looking for a Senior AI Engineer - Agentic Solutions & Digital Thread to join our Team!

The Senior AI Engineer - Agentic Solutions & Digital Thread is an experienced technologist who designs, builds, operates, and continuously improves enterprise AI-enabled applications. This role emphasizes agentic architectures, advanced Retrieval-Augmented Generation (RAG), and intelligent automation within a complex, multi-site aerospace and defense manufacturing environment subject to ITAR/EAR, CMMC/DFARS, and rigorous quality standards.

The role serves as the lead developer for assigned AI and agentic solution use cases, translating business requirements into scalable, auditable, and explainable implementations aligned to enterprise Digital Thread, Master Data Management (MDM), Intelligent Automation and Smart Factory initiatives. This role applies advanced knowledge acquired through relevant and substantial work experience. As the lead developer, this role is also comfortable experimenting with new techniques and coaching other development staff on AI-assisted and Agentic software delivery practices. This role assists others with more complex problems and designs elegant solutions to tackle them.

To qualify for the Senior AI Engineer - Agentic Solutions & Digital Thread role, here is what we would expect you to bring to Moog…

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, LangCh