AI LEAD L1

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Job Title: AI LEAD L1

City: Houston

State/Province: Texas

Posting Start Date: 6/30/26

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Job Description:
Job Description

Location - NY / NJ / Texas

Job Description

Senior AI Engineer – Agentic Systems (Production Intelligence)

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

Note: Framework familiarity is expected, but success in this role depends on strong AI system design and agent planning depth.

Mandatory Skills: AI ML Solution Architecting .

Experience: 5-8 Years .

The expected compensation for this role ranges from $60,000 to $135,000 .

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

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.

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

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