3 days ago
Buffalo, NY, USAMid Level / Senior
Base Salary
$100k - $150k/yr
Responsibilities
- Design, develop, test, deploy, and support AI-powered applications, intelligent agents, copilots, analytics solutions, and automation capabilities.
- Partner with business stakeholders to translate business challenges and requirements into scalable technical solutions.
- Build integrations among AI solutions, enterprise systems, data sources, business applications, APIs, services, connectors, and workflows.
- Develop Microsoft Copilot, Copilot Studio, Azure OpenAI, generative AI, retrieval, search, recommendation, and conversational solutions.
- Implement prompt engineering, grounding, retrieval, and orchestration techniques and evaluate model performance, accuracy, usability, and business value.
- Support proof-of-concept, pilot, production, system testing, user acceptance testing, deployment, and production-readiness activities.
- Develop dashboards, reports, analytics, and data-driven insights while collaborating with data engineers and business teams.
- Ensure solutions comply with cybersecurity, data governance, privacy, and Responsible AI requirements.
- Provide technical guidance, demonstrations, documentation, training, and knowledge sharing to business users, citizen developers, and AI champions.
- Contribute to AI engineering standards, development frameworks, technical architectures, support procedures, and best practices.
Requirements
- Bachelor’s degree in computer science, information technology, software engineering, data science, information systems, engineering, or a related field.
- Typically 3–7 years of combined experience in software development, solution engineering, automation development, data engineering, analytics, machine learning, artificial intelligence, or related technical disciplines.
- Experience designing, developing, testing, and deploying enterprise applications and business solutions.
- Knowledge of artificial intelligence, generative AI, large language models, machine learning, advanced analytics, and intelligent automation.
- Proficiency in one or more of Python, C#, JavaScript, SQL, or similar development languages.
- Experience integrating applications with enterprise systems, APIs, databases, and cloud-based platforms, with understanding of data architecture, modeling, quality, and analytics principles.
- Hands-on Microsoft Azure experience, including DevOps, messaging systems, and infrastructure as code; practical knowledge of Docker, Kubernetes, and/or Azure Container Apps.
- Experience with REST APIs, Postman, Insomnia, or REST Client, plus unit and integration testing.
- Strong analytical, problem-solving, communication, collaboration, and technical translation skills.
- Preferred experience includes Microsoft Copilot Studio, Microsoft Copilot, Power Platform, Azure AI Services, Azure OpenAI, Power Automate, Blazor, LangChain, LangGraph, Semantic Kernel, Semantic Memory, RAG, semantic search, MLOps, prompt engineering, AI evaluation, model governance, and manufacturing or aerospace environments.
- Familiarity with React, Angular, Vue.js, ERP, MES, PLM, quality management, manufacturing systems, Agile delivery, and relevant Microsoft, Azure, AI, Power Platform, or software development certifications is preferred.
Benefits
- Annual profit sharing, matching 401(k), Employee Stock Purchase Plan, Flexible Spending Accounts, and Health Savings Accounts.
- Flexible paid time off, holidays, and parental leave.
- Medical, dental, vision, life, disability, Employee Assistance Plan, and supplemental insurance coverage.
- Tuition assistance, mentorship, coaching, leadership development, and personal growth programs.
- Employee Resource Groups and a warm, respectful, family-like workplace culture.
- The position is onsite in Buffalo, NY, with site-specific benefits potentially available depending on location and business needs.
Tech Stack
Categories
About Moog Inc.
Moog Inc. designs and manufactures precision motion-control products and systems—such as servovalves, actuators, flight controls, avionics, and simulation hardware—for aerospace, defense, space, and industrial equipment makers. The company sells hardware, software, and integrated systems to OEMs and government programs worldwide. Founded in 1951 and headquartered in East Aurora, New York, Moog is a public company listed on the NYSE.