<p>We are seeking a highly skilled and innovative Senior Full- Stack AI / LLM Engineer to join our team and lead the development of cutting-edge AI solutions. This role focuses on building intelligent systems using large language models (LLMs), generative image models, and multimodal AI technologies. You will work across the stack—from model integration and orchestration to deployment and automation—helping us deliver scalable, production-grade AI applications.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and deploy Python-based microservices and APIs for AI-powered applications.</li><li>Integrate and fine-tune LLMs from providers such as OpenAI, Anthropic, Meta, and Mistral.</li><li>Build Retrieval-Augmented Generation (RAG) pipelines using frameworks like LangChain or LlamaIndex.</li><li>Implement semantic search and vector database solutions using Pinecone, Weaviate, Chroma, Milvus, or Supabase.</li><li>Develop and integrate TTS/STT systems using tools like OpenAI Whisper, Coqui TTS, and ElevenLabs.</li><li>Work with generative image models including GPT-Image-1, Stable Diffusion, and ComfyUI.</li><li>Automate workflows using orchestration platforms such as n8n, Make, or Zapier.</li><li>Deploy AI services on cloud platforms (GCP, AWS, or Azure) with scalability and reliability in mind.</li><li>Apply prompt engineering best practices to optimize model performance and output quality.</li><li>Collaborate with cross-functional teams including product, design, and data science to deliver impactful AI features.</li></ul>
We are seeking a hands-on Senior Enterprise Architect in Artificial Intelligence (AI) to join our global Enterprise Architecture team. This role blends deep technical expertise with architectural design and practical implementation to drive AI-powered transformation initiatives.<br><br>As part of a forward-thinking global technology team, you’ll collaborate across business, data, and product functions to design and implement AI/ML solutions that enable digital products and services.<br><br>Key Responsibilities<br><br>Design and architect enterprise-scale AI/ML solutions across areas such as Machine Learning, Generative AI, Deep Learning, Virtual Assistants, and Cognitive Services (Vision/Image, Text/Language processing).<br>Develop and communicate AI roadmaps, future-state architectures, and design artifacts.<br>Rapidly prototype and build proof-of-concepts (PoCs) and MVPs for AI models and algorithms.<br>Evaluate and recommend AI/ML tools, platforms, and frameworks; conduct ROI analysis.<br>Experiment with and fine-tune LLMs, train custom models, and assess performance metrics.<br>Perform data exploration, cleansing, and feature engineering to prepare datasets for model training.<br>Guide and mentor engineering and data science teams through AI/ML solution design, deployment, and integration into enterprise workflows.<br>Continuously scan industry innovations and apply emerging AI/ML technologies to business problems.<br>What We’re Looking For<br><br>Strong technical and business acumen in creating technology-driven solutions.<br>Passion for experimenting with and adopting emerging AI/ML technologies.<br>Excellent communication and influencing skills; ability to present complex technical concepts to both technical and non-technical audiences.<br>Proven ability to balance timeliness, cost, and quality in solution design.<br>Experience leading digital transformation, target operating models, and performance improvement initiatives.<br>Qualifications<br><br>Bachelor’s degree in STEM or related field (MBA a plus).<br>5+ years in AI/ML solution architecture, prototyping, and experimentation.<br>5+ years working with AWS and/or Azure data, analytics, and AI services.<br>3+ years of experience with data science tools and frameworks.<br>Recent, hands-on experience with Generative AI, LLMs, and Agentic AI platforms.<br>Knowledge of cloud-native services (data storage, compute, networking, security).<br>Strong understanding of statistical methods, data preprocessing, and feature engineering.
<p>Our team is continuing to grow our Data Governance and Quality program to meet current and future business needs. The Data Governance and quality team is seeking a data analyst/developer to work in the Enterprise Data Governance team to gather analyze and document datasets to help build artifacts for the Data User Community. Work under the guidance of the Data Catalog Program lead to perform tasks that will enable the further development of the Data Catalog.</p><p><br></p><p> This assignment will require the candidate to work seamlessly with members of the Data Governance Quality organization and our business partners.</p><p> - Documenting business glossary terms and definitions for master data elements.</p><p> - Opportunity to develop Data Governance dashboards and visualizations. </p><p> - Support project deliverables to further support Data catalog MDM</p><p><br></p><p> Role Development</p><p> - Builds data governance and quality competency where applicable for the entire enterprise. </p><p> - Supports Data Governance collaboration and alignment with master data data analytics and other DT process teams. RTX and within the Data Platforms organization. </p><p> - Exposure to multiple business units Avionics Mission Systems Information management systems and shared serves in multiple values streams such as Strategic Financial Planning Pursuit to Order Capture Design Development Produce to Deliver and Service Support.</p>
