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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Forward Deployed Engineer - **Company:** Megazone Cloud US - **Location:** Rochester, United States - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Data Stores, Programming Tools, Identity and Access Management, Python (Programming Language), Systems Development Life Cycle, Reliability Engineering, Azure Machine Learning, TypeScript, Google Cloud, Large Language Models, Prompt Engineering, Software Application Programming, Data Layers, Event Driven Architecture, Build Management, AI Platforms, Information Technology, Data Management, Devsecops, Serverless Computing, Golang - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/sr-ai-fde-megazone-cloud-us-8352627 ## About the Role * 8-10+ years engineering production software, with hands-on experience building applications on at least one major cloud platform - AWS or Google Cloud preferred (Azure a plus). * Demonstrated experience building with LLMs (e.g., Anthropic Claude, OpenAI, Gemini) - prompt engineering, RAG, and agentic systems. * Hands-on experience with agentic coding tools (e.g., Claude Code, Codex, Kiro), and a practical understanding of how to roll them out and drive adoption across an engineering organization. * Proficiency in Python and at least one additional language (e.g., TypeScript/JavaScript, Java, Go). * Proven client-facing communication skills - able to defend architectural and model decisions with executives and engineers alike, and to drive adoption through influence. * Experience mentoring engineers. * Strong grasp of DevSecOps, SRE, and FinOps principles. * Experience architecting data platforms and integrating AI/ML services. * Able to independently set up and configure cloud AI services and their supporting resources (e.g., Amazon Bedrock, SageMaker, Google Vertex AI; IAM, networking, model access, and quotas) on AWS and/or Google Cloud - self-sufficient for the services the role needs, with foundational account and landing-zone build-out handled in partnership with dedicated cloud engineers. * Exposure to serverless patterns, event-driven architectures, MCP integration, and vector databases. * Experience leading technology-adoption or developer-enablement programs is a strong plus. * Bachelor's degree in Computer Science or similar. * Certifications: AWS Solutions Architect Professional, Google Professional Cloud Architect, or Azure Solutions Architect Expert (one required, multiples preferred); AI/ML specialty certifications a plus. ## Description * Embed with customer teams to translate business problems into production AI architectures spanning models, data, application, and operations - owning the outcome end to end. * Design, build, and deploy LLM-powered applications - including RAG pipelines, agentic workflows, and orchestration frameworks - integrated with client data stores, APIs, and security controls. * Stand up the AWS and Google Cloud environments needed for AI services - enabling and configuring Amazon Bedrock, SageMaker, Google Vertex AI, and related resources (IAM roles, networking, model access, and service quotas) self-sufficiently within client guardrails, partnering with dedicated cloud engineers for deeper foundational account and landing-zone setup. * Drive enterprise adoption of agentic developer tooling (Anthropic Claude Code, OpenAI Codex, AWS Kiro): secure rollout, identity and tenant isolation, SDLC and CI/CD integration, and the developer enablement that turns licenses into measurable productivity. * Lead adoption and change management - build golden-path templates, enablement assets, and team workflows so AI solutions and tools are genuinely used, not merely delivered. * Define and instrument success - adoption, business impact, and ROI metrics - and iterate post-launch until targets are met. * Rapidly prototype proofs-of-concept and iterate them into production-grade systems alongside the customer. * Establish reusable accelerators, reference implementations, and AI delivery harnesses applicable across engagements. * Champion shift-left security, responsible AI, and FinOps practices for AI workloads, including token-cost and model-routing discipline. * Mentor engineers during build and deployment; troubleshoot complex issues spanning models, infrastructure, application, and data layers. * Serve as an escalation point during go-live and hyper-care. * Support pursuit teams with solution diagrams, scoping, and engagement estimation. * Present technical vision and adoption strategy to C-suite and enterprise architects. * Publish blog posts, white papers, and internal knowledge articles. ## Related Videos - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [AI-Augmented DevOps with Platform Engineering](https://www.wearedevelopers.com/videos/1614-ai-augmented-devops-with-platform-engineering) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)