What are the responsibilities and job description for the Senior AI Architect & Lead Prompt Engineer position at AIT Global, Inc.?
Job Title: Senior AI Architect & Lead Prompt Engineer
Location: Sunnyvale, CA
Location: Sunnyvale, CA
Key Responsibilities:
- AI Architecture & Design: Lead the end-to-end architecture of multi-agent
- systems, moving from initial concept to production-grade deployment on Google
- Cloud Platform (Google Cloud Platform).
- Prompt Engineering & Orchestration: Develop sophisticated prompt
- engineering frameworks, including system prompts, few-shot templates, and
- output guardrails. Utilize Chain-of-Thought (CoT) prompting and structured
- prompt chains for complex reasoning tasks.
- Intelligent Dialog Systems: Design conversational interfaces using Dialogflow
- and Gemini-powered agents to manage inquiry routing and automated workflow
- orchestration.
- System Integration: Architect integrations between LLM platforms (Vertex
- AI/Gemini) and enterprise CRM/ITSM tools like Salesforce and ServiceNow,
- specifically focusing on Telecom-grade inquiry response and ticketing workflows.
- RAG & Knowledge Retrieval: Build and optimize RAG (Retrieval-Augmented
- Generation) pipelines grounded in internal client policies and technical
- documentation.
- MLOps & Deployment: Oversee the deployment of microservices using GKE
- (Google Kubernetes Engine), Cloud SQL, and Cloud Build, ensuring scalable
- and reliable AI performance.
Required Core Expertise:
- LLM Stack: Deep expertise in Gemini, Vertex AI, and LangChain or
- LlamaIndex.
- Enterprise Integration: Proven experience architecting AI solutions that
- interface with Salesforce and ServiceNow within a Telecom or large enterprise
- context.
- Agentic Systems: Experience building multi-agent architectures for autonomous
- task execution and workflow automation.
- Data & Search: Mastery of hybrid search, reranking, and vector databases (e.g.,
- Redis, PostgreSQL).
Qualifications:
- Experience: 10 years in the AI stack, ranging from classical NLP/NLU to
- modern generative AI architectures.
- Education: B.Tech in Computer Science, Mathematics, or a related technical
- field.
- Technical Proficiency: Strong command of Python, Terraform IAC, Docker, and
- the Google Cloud Platform ecosystem (GKE, Cloud Deploy).
- Industry Knowledge: Demonstrated understanding of the Service Now,
- Salesforce, Net Cracker in Telecommunications service lifecycle, specifically
- regarding inquiry management and automated support.
Tools & Platforms:
- AI/ML: Gemini, Vertex AI, Hugging Face, OpenAI, Claude.
- Frameworks: LangChain, LlamaIndex, Dialogflow.
- Cloud & Infra: Google Cloud Platform (GKE, Cloud Build), Docker, TensorRT.
- Data: Cloud SQL, PostgreSQL, Redis.