Senior AI Engineer - Agentic Solutions & Digital Thread

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., * 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.

• 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.

$135,000.00-$155,000.00 Annually parental leave, paid time off, tuition assistance, 401(k), profit sharing United States, New York, Buffalo Aug 11, 2026

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., * Financial Rewards: great compensation package, annual profit sharing, matching 401k, and the ability to participate in Employee Stock Purchase Plan, Flexible Spending and Health Savings Accounts.

• Work/Life Balance: Flexible paid time off, holidays and parental leave program.
• Health & Welfare: Comprehensive insurance coverage including medical, dental, vision, life, disability, Employee Assistance Plan (“EAP”) and other supplemental benefit coverages.
• Professional Skills Development: Tuition Assistance, mentorship and coaching opportunities, leadership development and other personal growth programs.
• Diverse and Inclusive Workplace: Employee Resource Groups, cultural events, and celebrations.

Salary Range Transparency: Buffalo, NY $135,000.00-$155,000.00 Annually

Salary Range Disclaimer

The base salary range represents the low and high end of the Moog salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Moog’s total compensation package for employees. Other rewards may include annual bonuses, employee stock purchase plan, an open paid time off policy, and many region-specific benefits.