Hiring: Cyber Manager - Technology Resilience FDE Company: Deloitte Location: Greater Sacramento Job Posted Time: 2026-09-10 12:01:39 Employment Type: Remote Target Skills & Keywords : AWS, Azure, Datadog, Embedded Systems, Event-Driven, Foundry, GCP, GDPR, GitOps, HIPAA, Java, JavaScript, Kubernetes, LLM, LangChain, Large Language Model, LlamaIndex, Microservices, Next.js, Node.js, PCI DSS, PyTorch, Python, RAG, REST, React, SOC 2, Serverless, ServiceNow, Splunk, TensorFlow, TypeScript, Vertex AI About the job Experience: •10+ years of hands-on software engineering experience building and deploying production-grade systems using one or more of the following - Python, Java, or Node.js •5+ years of experience translating client or business requirements into target-state solution architectures using REST APIs, microservices, event-driven architectures, or serverless components •2+ years of experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools •2+ years of hands-on experience designing, building, and deploying generative AI or large language model solutions (e.g., agents, RAG, tool-calling) in a client or production environment - beyond proof-of-concept Required Skills: •As a Manager, AI Engineering (Forward Deployed Engineer) in Deloitte Cyber, you will be embedded in a client's environment to design, build, and ship production-grade AI capabilities using the client's own data, systems, and workflows. •Combine strong engineering depth with the judgment to translate ambiguous client problems into working AI systems, shape technical solutions during pursuits, and build reusable accelerators that raise the bar across engagements. Qualifications: •Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field; alternatively, equivalent demonstrated experience •8-10+ years of hands-on software engineering experience building and deploying production-grade systems using one or more of the following - Python, Java, or Node.js •Hands-on experience applying production AI engineering practices - evaluation, guardrails, observability, reliability, security, and cost/performance management - to deployed models and agentic systems •Demonstrated capacity to work directly and independently within a client's environment and codebase, including navigating unfamiliar systems and undocumented workflows •Demonstrated capacity to build automation that integrates with monitoring, ITSM, or GRC platforms to support control monitoring, evidence collection, and response workflows •Exposure to disaster recovery, business continuity, or third-party resilience concepts is a plus but not required - domain onboarding will be provided •Demonstrated capacity to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve •Limited immigration sponsorship may be available •Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor, etc.) Compensation: •$155,600 - $306,800 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!