AI ARCHITECT

Signature IT World Inc; Massachusetts; On-site; USD 180,000 - 240,000; Full time

Job summary

Signature IT World Inc. seeks a highly experienced AI Architect to design and lead enterprise-scale AI/ML and Generative AI solutions, translating business requirements into secure, scalable architectures.

You will provide technical leadership across AI, data, cloud, and engineering teams, define RAG pipelines, MLOps/LLMOps standards, and select technologies and frameworks to drive cost-effective AI platforms.

Qualifications

• 8+ years in software engineering, AI/ML, data, or solution architecture.
• Hands-on AI/ML and Generative AI architecture experience.
• Expertise in Python and AI/ML frameworks (PyTorch, TensorFlow, Hugging Face).
• Strong knowledge of LLMs, prompt engineering, embeddings, RAG, and AI agents.
• Experience with LangChain, LangGraph, Semantic Kernel.
• Experience with AWS, Azure, or GCP.
• Knowledge of Docker, Kubernetes, APIs, microservices, and distributed systems.
• Experience with MLOps/LLMOps, CI/CD, model monitoring, evaluation, and observability.
• Strong understanding of AI security, governance, privacy, and responsible AI.

Responsibilities

• Design end-to-end architectures for AI/ML, Generative AI, LLM, RAG, and Agentic AI.
• Define scalable, highly available, secure, and cloud-native AI platforms.
• Evaluate and select appropriate LLMs, SLMs, ML models, embeddings, vector databases, and AI frameworks.
• Design RAG pipelines, prompt engineering strategies, model integration, and multi-agent workflows.
• Lead AI solution architecture from requirements gathering through development, deployment, and optimization.
• Establish MLOps/LLMOps standards for CI/CD, model lifecycle management, monitoring, evaluation, and observability.
• Design integrations with enterprise applications, APIs, databases, data platforms, and third-party services.
• Ensure AI solutions address security, privacy, governance, compliance, responsible AI, and data protection.
• Optimize AI systems for performance, scalability, latency, reliability, and cost.
• Provide technical leadership, architecture reviews, mentoring, and guidance to AI/ML and engineering teams.
• Collaborate with business, product, data, cloud, security, and engineering stakeholders to define AI roadmaps and use cases.
• Create architecture diagrams, technical documentation, reference architectures, and implementation standards.
• Stay current with emerging technologies in GenAI, LLMs, AI agents, model optimization, and cloud AI platforms.

Skills

AI/ML architecture

Python

LLMs & Generative AI

Prompt engineering

RAG pipelines

Multi-agent AI

MLOps/LLMOps

Security & governance

Tools

PyTorch

TensorFlow

Hugging Face

LangChain

LangGraph

Semantic Kernel

AWS

Azure

GCP

Docker

Kubernetes

APIs

Vector databases

Job description

We are seeking a highly experienced AI Architect to design, architect, and lead the implementation of enterprise-scale AI/ML and Generative AI solutions. The ideal candidate will have strong expertise in LLMs, RAG, AI agents, cloud platforms, MLOps/LLMOps, and scalable solution architecture. This role will translate business requirements into secure, scalable, cost-effective AI architectures and provide technical leadership across AI, data, cloud, and engineering teams.

Key Responsibilities

• Design end-to-end architectures for AI/ML, Generative AI, LLM, RAG, and Agentic AI solutions.
• Define scalable, highly available, secure, and cloud-native AI platforms.
• Evaluate and select appropriate LLMs, SLMs, ML models, embeddings, vector databases, and AI frameworks.
• Design RAG pipelines, prompt engineering strategies, model integration, and multi-agent workflows.
• Lead AI solution architecture from requirements gathering through development, deployment, and optimization.
• Establish MLOps/LLMOps standards for CI/CD, model lifecycle management, monitoring, evaluation, and observability.
• Design integrations with enterprise applications, APIs, databases, data platforms, and third-party services.
• Ensure AI solutions address security, privacy, governance, compliance, responsible AI, and data protection requirements.
• Optimize AI systems for performance, scalability, latency, reliability, and cost.
• Provide technical leadership, architecture reviews, mentoring, and guidance to AI/ML and engineering teams.
• Collaborate with business, product, data, cloud, security, and engineering stakeholders to define AI roadmaps and use cases.
• Create architecture diagrams, technical documentation, reference architectures, and implementation standards.
• Stay current with emerging technologies in GenAI, LLMs, AI agents, model optimization, and cloud AI platforms.

Required Skills

• 8+ years of experience in software engineering, AI/ML, data, or solution architecture.
• Strong hands-on experience with AI/ML and Generative AI architecture.
• Expertise in Python and AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, or similar.
• Strong knowledge of LLMs, prompt engineering, embeddings, RAG, vector databases, and AI agents.
• Experience with frameworks such as LangChain, LangGraph, Semantic Kernel, or similar.
• Strong experience with AWS, Azure, or GCP.
• Knowledge of Docker, Kubernetes, APIs, microservices, and distributed systems.
• Experience with MLOps/LLMOps, CI/CD, model monitoring, evaluation, and observability.
• Strong understanding of AI security, governance, privacy, and responsible AI practices.