Senior ERP Specialist

• *Job Summary**
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Job Title: Senior Google Cloud \& GenAI Engineer (Fast\-Track to Google Certified FDE)About the Role \& Your Career Fast\-Track: Are you a hands\-on Google Cloud Professional\-certified Engineer who wants to step up into an elite Agentic AI Forward Deployment Engineer (FDE)? HCLTech is hiring high\-potential Senior Google Cloud \& GenAI Engineers in the US and India to join our accelerated FDE Launchpad Cohort within our Strategic Google AI Transformation Practice. You do NOT need prior experience as a Forward Deployment Engineer—we are looking for strong Python and Google Cloud builders who already hold an active Google Cloud Professional Certification and have the drive to master enterprise multi\-agent AI. When you join, you will enter our sponsored 60\-Day Fast\-Track FDE Launchpad Program, where HCLTech will train, mentor, and sponsor you through dual Google Cloud Partner Specialist (CPS) credentials and Google's exclusive in\-person Elite FDE Bootcamp. Upon graduating from the program, you will be badged and deployed as a Certified Forward Deployment Engineer (FDE) into high\-impact Google Cloud Professional Services (PSO) customer engagements. How Your Journey Works (What You Will Do): Phase 1 — First 60 Days: Sponsored FDE Launchpad \& CoE Apprenticeship (25%) • Complete the sponsored Fast\-Track FDE Certification Pathway within your first 60 days: \- Pass 2x Google Partner Specialist Challenge Labs (Gemini Enterprise Deployment \& Agent Development). \- Graduate from Google's exclusive 4\-Day (32\-Hour) In\-Person Elite FDE Bootcamp. • Apprentice directly alongside our US and India AI Capability Center (CoE) Leads and Elite AI Guild—learning advanced multi\-agent orchestration (Google ADK 2\.0, A2A protocols, MCP servers), enterprise AI security (SPIFFE, Model Armor, VPC\-SC), and LLM evaluation harnesses while contributing to our Reusable AI Asset Factory. Phase 2 — Post\-Graduation: Operating as a Certified Google Cloud FDE (75%) • Co\-Build in Agile Customer Sprints (50%): Embed directly within Google Cloud PSO customer engineering pods across US and APAC engagements (6–8 week co\-build sprints) to rapidly architect, code, and deploy production multi\-agent AI systems. • Agentic Engineering \& Integrations: Build end\-to\-end agentic workflows using Google Agent Development Kit (ADK), Vertex AI Agent Engine, Gemini Enterprise, Model Context Protocol (MCP) integration servers, Agent\-to\-Agent (A2A) protocols, and REST/gRPC microservices. • Data Grounding, Security \& EvalOps (25%): Ground enterprise agents using Vertex AI Search, BigQuery, AlloyDB, Spanner, and Enterprise Knowledge Graphs (EKG); enforce production security (VPC\-SC, Workload Identity Federation, Cloud KMS, Cloud DLP De\-identification, Model Armor) and automated LLM\-as\-a\-judge evaluation suites. Required Qualifications (What You Must Bring on Day 1\): • Active Google Cloud Professional Certification (MANDATORY): You 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 / 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\-SC. • 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

• *Key Responsibilities**
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Job Title: Senior Google Cloud \& GenAI Engineer (Fast\-Track to Google Certified FDE)About the Role \& Your Career Fast\-Track: Are you a hands\-on Google Cloud Professional\-certified Engineer who wants to step up into an elite Agentic AI Forward Deployment Engineer (FDE)? HCLTech is hiring high\-potential Senior Google Cloud \& GenAI Engineers in the US and India to join our accelerated FDE Launchpad Cohort within our Strategic Google AI Transformation Practice. You do NOT need prior experience as a Forward Deployment Engineer—we are looking for strong Python and Google Cloud builders who already hold an active Google Cloud Professional Certification and have the drive to master enterprise multi\-agent AI. When you join, you will enter our sponsored 60\-Day Fast\-Track FDE Launchpad Program, where HCLTech will train, mentor, and sponsor you through dual Google Cloud Partner Specialist (CPS) credentials and Google's exclusive in\-person Elite FDE Bootcamp. Upon graduating from the program, you will be badged and deployed as a Certified Forward Deployment Engineer (FDE) into high\-impact Google Cloud Professional Services (PSO) customer engagements. How Your Journey Works (What You Will Do): Phase 1 — First 60 Days: Sponsored FDE Launchpad \& CoE Apprenticeship (25%) • Complete the sponsored Fast\-Track FDE Certification Pathway within your first 60 days: \- Pass 2x Google Partner Specialist Challenge Labs (Gemini Enterprise Deployment \& Agent Development). \- Graduate from Google's exclusive 4\-Day (32\-Hour) In\-Person Elite FDE Bootcamp. • Apprentice directly alongside our US and India AI Capability Center (CoE) Leads and Elite AI Guild—learning advanced multi\-agent orchestration (Google ADK 2\.0, A2A protocols, MCP servers), enterprise AI security (SPIFFE, Model Armor, VPC\-SC), and LLM evaluation harnesses while contributing to our Reusable AI Asset Factory. Phase 2 — Post\-Graduation: Operating as a Certified Google Cloud FDE (75%) • Co\-Build in Agile Customer Sprints (50%): Embed directly within Google Cloud PSO customer engineering pods across US and APAC engagements (6–8 week co\-build sprints) to rapidly architect, code, and deploy production multi\-agent AI systems. • Agentic Engineering \& Integrations: Build end\-to\-end agentic workflows using Google Agent Development Kit (ADK), Vertex AI Agent Engine, Gemini Enterprise, Model Context Protocol (MCP) integration servers, Agent\-to\-Agent (A2A) protocols, and REST/gRPC microservices. • Data Grounding, Security \& EvalOps (25%): Ground enterprise agents using Vertex AI Search, BigQuery, AlloyDB, Spanner, and Enterprise Knowledge Graphs (EKG); enforce production security (VPC\-SC, Workload Identity Federation, Cloud KMS, Cloud DLP De\-identification, Model Armor) and automated LLM\-as\-a\-judge evaluation suites. Required Qualifications (What You Must Bring on Day 1\): • Active Google Cloud Professional Certification (MANDATORY): You 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 / 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\-SC. • 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

• *Skill Requirements**
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• *Must Have Skill**
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Gen AI,Agentic AI

• *Good to Have Skill**
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• *Other Requirements**
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