IT Senior Technology Architect | Cloud Platform | Google Machine Learning
Job Location:
Job Location:
Irving, TX - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
3 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title: Senior Technology Architect Cloud Platform Google Machine Learning
Work Location: IrvingTX75039
Vendor Rate: 88.30
Contract duration: 12
Target Start Date: 30 Mar 2026
Does this position require Visa independent candidates only Yes
In person Interview - Mandatory (Either in Dallas or in Charlotte at Client office)
Job Details:
Must Have Skills
GEN AI Agentic AI Cortex AI ML OpsPython ML Data Science RAGLLM
Nice to have skills
GCP Prompt Engineering
Detailed Job Description
We are seeking a highly skilled Generative AI Engineer with a strong Python background to design develop and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience with Large Language Models (LLMs) prompt engineering and Gen AI frameworks along with expertise in building scalable AI applications. Experience in Developing Agentic AI solutions.
Key Responsibilities:
Design and implement Generative AI models for text image or multimodal applications.
Develop prompt engineering strategies and embedding-based retrieval systems.
Integrate Gen AI capabilities into web applications and enterprise workflows.
Build agentic AI applications with context engineering and MCP tools. Required Skills & Qualifications:
10 years of hands-on experience in AI Data science ML GEN AI.
Strong hands on experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines
Strong hands on experience with RAG pipelines and vector databases
Extensive experience with LangChain LangGraph CrewAI multi agent orchestration
Strong MLOps / LLMOps experience with CI/CD automation
Experience across AWS (SageMaker Lambda EKS S3) and GCP (Vertex AI)
API & microservices development using FastAPI REST Docker Kubernetes
Strong Python proficiency with PyTorch / TensorFlow
Strong MLOps/LLMOps experience with CI/CD automation
Extensive experience with LangChain LangGraph and agentic AI patterns including routing memory multi-agent orchestration guardrails and failure recovery.
Experience in Developing microservices and API development using FastAPI REST APIs Pydantic/JSON schemas Docker and Kubernetes for low-latency serving.
Strong Hands-on experience with vector databases and semantic search technologies including Pinecone FAISS ChromaDB and embedding lifecycle management
Strong proficiency in Python and AI/ML frameworks (PyTorch TensorFlow).
Hands on experience using session and memory for building multi-agent systems along with using MCP tools.
Hands-on experience with LLMs transformers and Hugging Face ecosystem.
Knowledge and experience with vector databases and RAG technique for semantic search.
Familiarity with cloud AI services (AWS SageMaker Azure OpenAI GCP Vertex AI).
Understanding of MLOps practices for scalable AI deployment.
Strong experience in working with LLM fine-tuning with LoRA QLoRA PEFT
Strong experience in Architected advanced RAG systems using Pinecone FAISS Weaviate Chroma hybrid retrieval and custom embeddings
Strong experience in Designing end-to-end LLMOps/MLOps pipelines using MLflow DVC SageMaker Pipelines Vertex AI Pipelines and GitHub Actions
Experience in using cloud-native AI systems on AWS (SageMaker Lambda EKS EC2 Step Functions S3 Glue) and GCP Vertex AI supporting high-volume inference and secure enterprise operations
Experience in developing multi-agent orchestration workflows using LangGraph and CrewAI for tool-calling validation agents automated reasoning and workflow supervision
Minimum years of experience
>10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Strong communication skills
Strong programming skills
Interview Process (Is face to face required) Mandatory (Either in Dallas or in Charlotte at Client office)
Any additional information you would like to share about the project specs/ nature of work
na Project Code :WF GEN AI PLATFORM SUPPORT CTO
Work Location: IrvingTX75039
Vendor Rate: 88.30
Contract duration: 12
Target Start Date: 30 Mar 2026
Does this position require Visa independent candidates only Yes
In person Interview - Mandatory (Either in Dallas or in Charlotte at Client office)
Job Details:
Must Have Skills
GEN AI Agentic AI Cortex AI ML OpsPython ML Data Science RAGLLM
Nice to have skills
GCP Prompt Engineering
Detailed Job Description
We are seeking a highly skilled Generative AI Engineer with a strong Python background to design develop and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience with Large Language Models (LLMs) prompt engineering and Gen AI frameworks along with expertise in building scalable AI applications. Experience in Developing Agentic AI solutions.
Key Responsibilities:
Design and implement Generative AI models for text image or multimodal applications.
Develop prompt engineering strategies and embedding-based retrieval systems.
Integrate Gen AI capabilities into web applications and enterprise workflows.
Build agentic AI applications with context engineering and MCP tools. Required Skills & Qualifications:
10 years of hands-on experience in AI Data science ML GEN AI.
Strong hands on experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines
Strong hands on experience with RAG pipelines and vector databases
Extensive experience with LangChain LangGraph CrewAI multi agent orchestration
Strong MLOps / LLMOps experience with CI/CD automation
Experience across AWS (SageMaker Lambda EKS S3) and GCP (Vertex AI)
API & microservices development using FastAPI REST Docker Kubernetes
Strong Python proficiency with PyTorch / TensorFlow
Strong MLOps/LLMOps experience with CI/CD automation
Extensive experience with LangChain LangGraph and agentic AI patterns including routing memory multi-agent orchestration guardrails and failure recovery.
Experience in Developing microservices and API development using FastAPI REST APIs Pydantic/JSON schemas Docker and Kubernetes for low-latency serving.
Strong Hands-on experience with vector databases and semantic search technologies including Pinecone FAISS ChromaDB and embedding lifecycle management
Strong proficiency in Python and AI/ML frameworks (PyTorch TensorFlow).
Hands on experience using session and memory for building multi-agent systems along with using MCP tools.
Hands-on experience with LLMs transformers and Hugging Face ecosystem.
Knowledge and experience with vector databases and RAG technique for semantic search.
Familiarity with cloud AI services (AWS SageMaker Azure OpenAI GCP Vertex AI).
Understanding of MLOps practices for scalable AI deployment.
Strong experience in working with LLM fine-tuning with LoRA QLoRA PEFT
Strong experience in Architected advanced RAG systems using Pinecone FAISS Weaviate Chroma hybrid retrieval and custom embeddings
Strong experience in Designing end-to-end LLMOps/MLOps pipelines using MLflow DVC SageMaker Pipelines Vertex AI Pipelines and GitHub Actions
Experience in using cloud-native AI systems on AWS (SageMaker Lambda EKS EC2 Step Functions S3 Glue) and GCP Vertex AI supporting high-volume inference and secure enterprise operations
Experience in developing multi-agent orchestration workflows using LangGraph and CrewAI for tool-calling validation agents automated reasoning and workflow supervision
Minimum years of experience
>10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Strong communication skills
Strong programming skills
Interview Process (Is face to face required) Mandatory (Either in Dallas or in Charlotte at Client office)
Any additional information you would like to share about the project specs/ nature of work
na Project Code :WF GEN AI PLATFORM SUPPORT CTO
