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 with particular standards and technology stacks create complete RFPs
• Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology
•  Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions
• Clearly articulate and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps
• Evaluate and recommend solutions to integrate with overall technology ecosystem
• Tracks industry and application trends and relates these to planning current and future IT needs

g. Provides technical and strategic inputs during the project planning phase in the form of technical architectural designs and recommendations

h. Account mining to find opportunities in the existing clients

i. Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture.

j. Identifies implementation risks and potential impacts.

k. Create new revenue streams within applications as APIs that can be leveraged by clients

l. Bring knowledge of automation in application by embracing Agile and dev-ops principles to reduce manual part

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2. Understanding application requirements and design a standardize application

a. Creating Intellectual Property in forms of services, patterns, models and organizational approaches

b. Designing patterns, best practices and reusable applications that can be used for future references

c. Ensure system capabilities are consumed by system components and set criteria for evaluating technical and business value in terms of Tolerate, Invest, Migrate and Eliminate

d. Provide platform to create standardize tools, uniform design and techniques are maintained to reduce costs of maintenance

e. Coordinating input on risks, costs and opportunities for concepts

f. Developing customised applications for the customers aligned with their needs

g. Perform design and code reviews thoroughly on regular basis, keeping in mind the security measures

h. Understanding design and production procedures and standards to create prototypes and finished products

i. Work closely with systems analysts, software developers, data managers and other team members to ensure successful production of application software

j. Offer viable solutions for various systems and architectures to different types of businesses

k. Seamless integration of new and existing systems to eliminate potential problems and maintain data structure and bring value in terms of development

l. Transforming all applications into digital form and implement and evolve around mesh app and service architecture that support new technologies like IOT, blockchain, machine learning, automation, BOTS etc

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m. Cloud Transformation: (Migration)

• Understanding non-functional requirements
• Producing artefacts such as deployment architecture, interface catalogue
• Identify internal and external dependency, vendor and internal IT management
• Support build and testing team

n. Cloud Transformation: (Modernization)

• Understanding and Defining target architecture in Integration space
• Assessing project pipeline / demand and align to target architecture
• Technical support of delivery team in terms and POC and technical guidance

o. Keep Up-to-date with the latest technologies in the market