AI Engineer

Must Have Technical/Functional SkillsPython technology + Additional backend knowledgeHands on GCP experience (Vertex AI preferred)Implemented access control mechanism, trusted AI solutionsStrong SQL (Big Query preferred)Experienced API buildingHands‑on Experience ADK framework or similar agent frameworkHands‑on Experience AI/LLM application or chatbotsDomain knowledge in supply chain / transportation domain (e.g., logistics, TMS, routing, shipment visibility)Able To Build Rapid POCs DemonstratingMulti-agent collaborationRAG/Vector databasesAutonomous task executionIAM/Secure service integrationAgents interacting with client's APIs, data platforms, and operational systemsMCP‑based tool integrations for internal systemsDevelop Reference Implementations UsingVertex AI Agent BuilderAgent Studio / AI Studio or rapid prototyping toolsEnterprise copilots or operational AI assistantsGemini modelsGPT‑based agentsGCP AI Agentic capabilities (If not, Azure AI Agentic capabilities is fine)Create debugging, observability, and evaluation frameworks for agent behaviorRoles & ResponsibilitiesAgentic AI EngineerDevelop AI agents/chatbots with tool integration (APIs, databases, services)Build using ADK (Python required; Java or similar preferred)Create multi-step agent workflows (reasoning, orchestration, context handling)Rapidly prototype using Agent Studio / AI Studio (or equivalent)Convert POCs to production services on GCP (Cloud Run / GKE)Integrate with Vertex AI, BigQuery, enterprise systemsImplement guardrails, access controls, and monitoringOptimize latency, cost, and reliabilityEnterprise IntegrationIntegrate agentic systems with client's GCP data ecosystem (BigQuery, Pub/Sub, Cloud Run)APIs, microservices, and event-driven systemsIdentity, security, and governance frameworksDefine standards for agent safety, guardrails, and responsible autonomyClient Engagement & Sales InfluenceDrive AI/Agentic use case discovery with client's business and technology leadersShape proposals, solution narratives, and executive presentationsAct as the primary AI/Agentic technical advisor for the client's accountCross‑Functional LeadershipPartner with cloud, data engineering, product, and business teams to deliver cohesive solutionsMentor engineers on agentic patterns, tool integration, and modern AI developmentTCS Employee Benefits SummaryDiscretionary Annual IncentiveComprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance PlansFamily Support: Maternal & Parental LeavesInsurance Options: Auto & Home Insurance, Identity Theft ProtectionConvenience & Professional Growth: Commuter Benefits & Certification & Training ReimbursementTime Off: Vacation, Time Off, Sick Leave & HolidaysLegal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan RefinancingSalary Range$120,000-$140,000 a year#J-18808-Ljbffr