AI LEAD L1

Job Description Senior AI Engineer – Agentic Systems (Production Intelligence) Location NY / NJ / Texas Role Summary We are seeking a Senior AI Engineer with strong AI system design and agentic reasoning expertise to build and scale GenAI-powered agentic solutions for complex production environments. The role focuses on designing agents that can diagnose, reason, plan, and safely act to reduce operational risk, cost, and incident resolution time in large-scale systems. This position requires deep architectural thinking and agent planning capability, beyond hands‑on familiarity with GenAI frameworks. Key Responsibilities Design and implement end‑to‑end agentic AI systems for production environments, including planning, orchestration, execution, and feedback loops Build tool‑calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) Define and implement agent planning architectures, including plan generation, structuring, validation, and re‑planning Productionize LLMs by building evaluation frameworks, RAG pipelines, prompt synthesis, response validation, and self‑correction loops Integrate agents with observability, incident management, deployment, and runbook systems for automated diagnostics and remediation Design safety, reliability, and governance mechanisms such as guardrails, validator models, adversarial prompt handling, circuit breakers, and rollback strategies Optimize cost, latency, and performance through context management, caching, model routing, batching, and parallel execution Collaborate with production and application teams to translate operational challenges into measurable, auditable AI outcomes Drive architectural design reviews and mentor engineers on agent design, evaluation, and safe deployment patterns Essential Skills & Experience 5+ years of software development experience (Python, Java, Go, or C/C++), with strong production systems exposure 3+ years designing and deploying production ML/AI systems, including deployment, monitoring, and evaluation Strong hands‑on experience with LLM-based systems, including retrieval‑augmented generation (RAG), tool‑using/function‑calling agents, prompt engineering and adaptation Deep understanding of agentic AI concepts, especially agent planning vs execution, multi‑step reasoning and decision flows, handling ambiguity, partial state, and failure modes Solid foundation in applied statistics, ML fundamentals, algorithms, and data structures Strong analytical thinking, ownership mindset, and ability to communicate complex designs clearly Preferred Experience Experience with agentic frameworks and orchestrators (e.g., LangChain, ADK, similar) Cloud infrastructure experience (AWS preferred): ECS/EKS, Lambda, S3, DynamoDB, Redshift, Step Functions, SageMaker Infrastructure‑as‑code using Terraform or CloudFormation Mandatory Skills AI/ML Solution Architecting Experience 5–8 years Compensation The expected compensation for this role ranges from $60,000 to $135,000. Final compensation will depend on various factors, including location, minimum wage obligations, skills, and relevant experience. The role is also eligible for standard benefits including a full range of medical and dental benefits, disability insurance, paid time off, and other leave options. EEO Statement Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome. #J-18808-Ljbffr Wipro