AI ML Solution Architecting

AI ML Solution Architecting

City:
Las Vegas

State/Province:
Nevada

Posting

Start Date:

1/22/26

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

Job Description:

Job Description

Title:

GEN AI Architect and Prompt Engineer

Location:

Las Vegas NV

Duration:
Contract

Responsibilities:

This role's responsibilities are divided into two primary areas: AI architecture and prompt engineering.

AI Architecture & Development / Support

* Design and Implement AI Solutions:
Architect, design, and deploy end-to-end conversational AI agents and virtual assistants on the GCP platform.

* Platform Expertise:
Utilize a deep knowledge of GCP AI technologies, including Vertex AI, Dialogflow CX, Conversational AI (CCAI), Playbooks, Conversational Agents and related services.

* Integrations:
Build and manage integrations between conversational agents and various backend systems, APIs, and other Google Cloud services.

* Lifecycle Management:
Manage the full lifecycle of AI agents, from initial proof-of-concept to production deployment and ongoing maintenance. This includes monitoring performance, troubleshooting issues, and implementing MLOps best practices.

Prompt Engineering & Conversation Building

* Prompt Design:
Craft and refine prompts and instructions for generative AI models to ensure accurate, relevant, and helpful responses.

* Conversation Design:
Design natural and effective conversational flows for both voice and chat agents. This involves defining user journeys, intents, entities, and state handlers.

* Agent Tuning:
Tune and optimize NLU (Natural Language Understanding) models and AI agent performance through data analysis and iterative refinement.

* Content & Ethics:
Ensure that AI-generated content is high-quality, on-brand, and adheres to responsible AI principles, including safety and fairness.

Required

Skills & Qualifications

To succeed in this role, a candidate needs a blend of technical expertise, linguistic aptitude, and strong communication skills.

* Technical Proficiency:

* GCP:
Extensive, hands-on experience with Google Cloud Platform, specifically Vertex AI, Dialogflow CX, and other conversational AI services.

* Programming:
Proficiency in programming languages like Python is essential for building integrations, automating tasks, and analyzing data.

* APIs & Data:

Experience with REST APIs, webhooks, and data management systems.

* Conversational Expertise:

* Linguistics: A strong understanding of human language, syntax, and conversational nuances.

* Prompt Engineering:
Proven experience in crafting effective prompts for Large Language Models (LLMs) and generative AI.

* Conversation Building:
Experience in designing and building engaging and logical conversations.

* Soft Skills:

* Problem-Solving:
Strong analytical and critical thinking skills to diagnose and resolve complex technical and conversational issues.

* Collaboration:

Excellent communication and collaboration skills to work effectively with cross-functional teams, including developers, product managers, and business stakeholders.

* Adaptability:
The ability to stay up-to-date with the rapidly evolving field of AI and quickly learn new tools and techniques.

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Do

1. Develop architectural application for the new deals/ major change requests in existing deals

a. Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable.

b. Manages application assets and directs the development efforts within an enterprise to improve solution delivery and agility

c. Guides how to construct and assemble application components and services to support solution architecture and application development

d. Maintains the frameworks and artefacts used in the implementation of an application, with reference to the systematic architecture of the overall application portfolio

e. Responsible for application architecture paradigms such as service-oriented architecture (SOA) and, more specifically, microservices, ensuring business achieve agility and scalability for a faster time to market

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f. Provide solution of RFP's received from clients and ensure overall design assurance

* Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives

* Analyse technology environment, enterprise specifics, client requirements to set a collaboration design framework/ architecture

* Depending on the client's need…