Senior GenAI Architect-5
Realign Llc
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Descripción de la vacante
Realign Llc is seeking a Senior GenAI Architect to design, develop, and implement scalable Generative AI and LLM solutions for enterprise applications. You will define AI architecture, build intelligent AI-powered solutions, and integrate LLMs with enterprise data and applications.
The role requires expertise in Python, GenAI/LLM, RAG, Agentic AI, AI orchestration, data engineering, and cloud architecture, with frameworks such as LangChain and LangGraph. Hybrid onsite work is available in NYC/NJ.
Formación
- Experience designing Generative AI and LLM solutions.
- Strong programming experience in Python.
- Experience with RAG architectures and Agentic AI.
Responsabilidades
- Design enterprise-grade Generative AI and LLM solutions.
- Develop scalable AI applications using Python, RAG, Agentic AI, and AI orchestration.
- Design RAG architectures integrating enterprise data sources.
- Build and orchestrate AI agents using LangChain and LangGraph.
- Develop AI workflows, agentic systems, and intelligent automation solutions.
- Integrate LLM services with enterprise apps via REST APIs and microservices.
- Collaborate with Data Engineering to build reliable data pipelines.
- Develop and optimize SQL-based data solutions for data engineering.
Conocimientos
Herramientas
Descripción del empleo
Jersey City, New Jersey 07030 Posted October 8th, 2026
Job Title: Senior GenAI Architect
Job Type: Full Time
Location: New York City (NYC) / New Jersey (NJC)
Primary Skills: GenAI/LLM, RAG & Agentic AI, Python
We are seeking an experienced Senior GenAI Architect to design, develop, and implement scalable Generative AI and Large Language Model (LLM) solutions for enterprise applications. The ideal candidate will have strong expertise in Python, GenAI/LLM, RAG, Agentic AI, AI orchestration, data engineering, and cloud architecture.
The candidate will be responsible for defining AI architecture, building intelligent AI-powered solutions, integrating LLMs with enterprise data and applications, and developing scalable AI platforms using modern frameworks such as LangChain and LangGraph.
- Design and architect enterprise-grade Generative AI and LLM solutions
- Develop scalable AI applications using Python, RAG, Agentic AI, and AI orchestration
- Design Retrieval-Augmented Generation (RAG) architectures integrating enterprise data sources
- Build and orchestrate AI agents using frameworks such as LangChain and LangGraph
- Develop AI workflows, agentic systems, and intelligent automation solutions
- Integrate LLM and AI services with enterprise applications through REST APIs and microservices
- Collaborate with Data Engineering teams to build reliable data pipelines and AI-ready data platforms
- Develop and optimize SQL-based data solutions and support data engineering requirements
- Design scalable cloud-based AI architectures and ensure security, reliability, and performance
- Define enterprise AI Architecture and Data Architecture standards and best practices
- Evaluate emerging GenAI technologies, models, frameworks, and tools for enterprise adoption
- Work closely with engineering, data, product, and business teams to translate requirements into scalable AI solutions
- Provide technical leadership, architecture documentation, design guidance, and mentoring to development teams
- Strong hands-on experience with Generative AI and Large Language Models (LLMs)
- Strong programming experience in Python
- Expertise in RAG (Retrieval-Augmented Generation) architectures
- Experience designing and implementing Agentic AI solutions
- Strong understanding of AI orchestration and multi-agent workflows
- Hands-on experience with LangChain and/or LangGraph
- Strong knowledge of REST APIs, microservices, and enterprise integrations
- Experience with SQL and data engineering concepts
- Strong understanding of cloud platforms and cloud-based AI architectures
- Experience designing scalable and secure AI solutions
- Strong knowledge of Data Architecture and enterprise data platforms
- Experience with LLM application development and prompt engineering
- Knowledge of vector databases and embedding technologies
- Experience integrating AI solutions with enterprise data sources
- Knowledge of AI/ML deployment and MLOps practices
- Experience with cloud-native architecture and distributed systems
- Strong understanding of enterprise security, governance, and responsible AI practices
- Excellent communication, technical leadership, and solution-design skills
- Job Title: Senior GenAI Architect
- Job Type: Full Time
- Location: New York City / New Jersey
- Work Model: Onsite/Hybrid as per business requirement
- Job Title: Senior GenAI Architect
- Job Type: Full Time
- Location: New York City / New Jersey
- Work Model: Onsite/Hybrid as per business requirement
Job Title: Senior GenAI Architect
Job Type: Full Time
Location: New York City (NYC) / New Jersey (NJC)
Primary Skills: GenAI/LLM, RAG & Agentic AI, Python
We are seeking an experienced Senior GenAI Architect to design, develop, and implement scalable Generative AI and Large Language Model (LLM) solutions for enterprise applications. The ideal candidate will have strong expertise in Python, GenAI/LLM, RAG, Agentic AI, AI orchestration, data engineering, and cloud architecture.
The candidate will be responsible for defining AI architecture, building intelligent AI-powered solutions, integrating LLMs with enterprise data and applications, and developing scalable AI platforms using modern frameworks such as LangChain and LangGraph.
- Design and architect enterprise-grade Generative AI and LLM solutions
- Develop scalable AI applications using Python, RAG, Agentic AI, and AI orchestration
- Design Retrieval-Augmented Generation (RAG) architectures integrating enterprise data sources
- Build and orchestrate AI agents using frameworks such as LangChain and LangGraph
- Develop AI workflows, agentic systems, and intelligent automation solutions
- Integrate LLM and AI services with enterprise applications through REST APIs and microservices
- Collaborate with Data Engineering teams to build reliable data pipelines and AI-ready data platforms
- Develop and optimize SQL-based data solutions and support data engineering requirements
- Design scalable cloud-based AI architectures and ensure security, reliability, and performance
- Define enterprise AI Architecture and Data Architecture standards and best practices
- Evaluate emerging GenAI technologies, models, frameworks, and tools for enterprise adoption
- Work closely with engineering, data, product, and business teams to translate requirements into scalable AI solutions
- Provide technical leadership, architecture documentation, design guidance, and mentoring to development teams
- Strong hands-on experience with Generative AI and Large Language Models (LLMs)
- Strong programming experience in Python
- Expertise in RAG (Retrieval-Augmented Generation) architectures
- Experience designing and implementing Agentic AI solutions
- Strong understanding of AI orchestration and multi-agent workflows
- Hands-on experience with LangChain and/or LangGraph
- Strong knowledge of REST APIs, microservices, and enterprise integrations
- Experience with SQL and data engineering concepts
- Strong understanding of cloud platforms and cloud-based AI architectures
- Experience designing scalable and secure AI solutions
- Strong knowledge of Data Architecture and enterprise data platforms
- Experience with LLM application development and prompt engineering
- Knowledge of vector databases and embedding technologies
- Experience integrating AI solutions with enterprise data sources
- Knowledge of AI/ML deployment and MLOps practices
- Experience with cloud-native architecture and distributed systems
- Strong understanding of enterprise security, governance, and responsible AI practices
- Excellent communication, technical leadership, and solution-design skills
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