Job Description
Pay Range: $60.00hr - $65.00hr Job Overview: Our client is seeking Google Cloud Professional-certified Engineers to become Agentic AI Forward Deployment Engineers (FDE) within a Strategic AI Transformation Practice. Prior experience as a Forward Deployment Engineer is not required-the role requires strong Python and Google Cloud builders who hold an active Google Cloud Professional Certification and have the drive to master enterprise multi-agent AI. The candidate will participate in a sponsored 60-Day Fast-Track FDE Launchpad Program featuring training, mentorship, and sponsorship through dual Google Cloud Partner Specialist (CPS) credentials and an exclusive in-person Elite FDE Bootcamp. Upon completion, the candidate will be badged and deployed as a Certified Forward Deployment Engineer into high-impact Google Cloud Professional Services customer engagements. Requirements: Must currently hold at least ONE active, verifiable Google Cloud Professional Certification: Professional Cloud Architect, Professional Data Engineer, Professional Machine Learning Engineer, Professional Cloud Developer, DevOps Engineer, or Security Engineer. 5 10+ years of hands-on software engineering, cloud engineering, or data/AI engineering experience, with at least 1.5 2+ years building Generative AI, LLM, RAG, or agentic applications in Python. Strong production coding proficiency in Python (and/or TypeScript/Go), SQL, REST/gRPC APIs, and containerized cloud runtimes (Cloud Run, GKE, Docker, Terraform). Hands-on experience with core Google Cloud AI, Data & Security services-such as Vertex AI, Gemini APIs, Vertex AI Search, BigQuery, AlloyDB, Cloud Storage, and IAM / VPC-Client. Practical experience with at least one modern LLM or agent orchestration framework (e.g., LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, or Google ADK / Vertex AI Agent Builder). High-Velocity "Builder-Consultant" Mindset: Strong communication skills, intellectual curiosity, and eagerness to work directly with client engineers to turn ambiguous business problems into working production code. Preferred Qualifications: Exposure to LLM evaluation techniques (golden datasets, autoraters), prompt guardrails/DLP, or Knowledge Graphs. Prior project experience in any key enterprise industry vertical (such as Financial Services, Healthcare & Life Sciences, Retail/eCommerce, Telecom/Media, or SaaS/ISVs). Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.