Senior GenAI Cloud Engineer
2 days ago
Newark
Senior GenAI Cloud Engineer Location: Newark, NJ Hybrid preferred but open to Remote candidates for the right fit Duration: 6 Months ABOUT THE ROLE We are seeking a Senior GenAI Cloud Engineer to build and deploy enterprise-scale AI solutions that drive intelligent automation, conversational experiences, and business process transformation. This is a hands-on engineering role responsible for designing, developing, and delivering production-grade AI applications using modern cloud architectures, large language models, and agentic AI frameworks. You will lead the implementation of specific workstreams end-to-end, mentor less experienced engineers, and contribute to the architecture and standards used by many engineering teams. The ideal candidate has recent experience building AI agents, chatbots, and RAG-based solutions in enterprise environments. KEY RESPONSIBILITIES • Develop cloud-native applications and microservices using Python and JavaScript/TypeScript., • Build and deploy enterprise AI agents, chatbots, and GenAI-powered applications., • Implement data ingestion, document processing, embedding generation, vectorization, and retrieval pipelines., • Develop intent classification, orchestration, guardrail, and safety capabilities for AI applications., • Integrate LLMs with enterprise systems, APIs, databases, and business workflows., • Contribute to system design, testing, deployment, monitoring, and operational support., • Uphold code quality, security, and observability standards in everything you ship., • Stay current with emerging AI technologies, frameworks, and platform capabilities. LEADERSHIP, MENTORING & INFLUENCE • Lead a workstream: Take technical ownership of a defined feature area or service - from design through production support - coordinating a small group of engineers where needed., • Mentor engineers: Guide associate and mid-level engineers through code review, pairing, and design feedback; help them build GenAI and cloud skills., • Contribute to architecture: Participate actively in design reviews, propose solution options with clear trade-offs, and help shape the patterns and standards the team adopts., • Influence through delivery: Partner directly with product owners, architects, and business stakeholders to refine requirements and build credibility through working software., • Improve the team: Identify and drive improvements in engineering practices, tooling, reusable components, and documentation; share knowledge through demos and internal write-ups. REQUIRED QUALIFICATIONS • 5–8 years of software engineering experience., • Strong proficiency in Python and JavaScript/TypeScript., • Experience developing microservices, APIs, and distributed applications., • Hands-on experience with AWS cloud services and cloud-native application development., • Recent experience building enterprise GenAI solutions, including AI agents, chatbots, or RAG applications., • Experience with AWS Bedrock or other enterprise LLM platforms., • Experience with data ingestion, vector databases, embeddings, and semantic search., • Experience implementing AI guardrails, safety controls, intent classification, and routing logic., • Strong understanding of software engineering best practices, application security, scalability, and production operations., • Experience mentoring engineers and leading delivery of a technical workstream. PREFERRED QUALIFICATIONS • Experience with AWS AgentCore., • Experience with LangGraph, LangChain, or similar agent frameworks., • Experience with model tuning, evaluation, and prompt engineering., • Experience with event-driven architectures and AWS serverless technologies., • Experience delivering solutions in financial services, insurance, or other regulated industries. IDEAL CANDIDATE You are a strong software engineer with recent GenAI experience who enjoys building production-ready AI solutions. You have hands-on experience developing agents, chatbots, and retrieval-based applications, you are comfortable across cloud architecture, application development, and AI integration challenges; and you naturally raise the level of the engineers around you. LEVELING: SENIOR VS. LEAD • Senior GenAI Cloud Engineer - 5–8 years. Primarily hands-on. Leads implementation of specific workstreams, contributes to architecture, mentors associate and mid-level engineers, and influences within the team., • Lead GenAI Cloud Engineer - 8+ years. Hands-on technical leader. Owns architecture and technical direction, sets standards and platform strategy, leads complex multi-team initiatives, mentors senior engineers, and influences cross-team design decisions., • Career path: GenAI Cloud Engineer → Senior GenAI Cloud Engineer → Lead GenAI Cloud Engineer.