AI Solutions Architect

Job Title: AI Solutions Architect

Location: Remote / Hybrid / Onsite

Employment Type: W2 Contract

Experience: 13+ Years

Work Authorization: H1B, GC-EAD, -EAD (W2 Only)

Job Summary

We are looking for an experienced AI Solutions Architect with 13+ years of IT experience and strong expertise in Artificial Intelligence, Machine Learning, Generative AI, and enterprise architecture. The ideal candidate will lead the design and implementation of scalable AI-powered solutions, leveraging cloud platforms, LLMs, and modern AI frameworks to solve complex business challenges.

Key Responsibilities

Design and implement enterprise AI and Generative AI solutions.Architect AI-driven applications using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).Develop AI solution architectures aligned with business and technology goals.Integrate AI services with enterprise applications using APIs and microservices.Build intelligent automation solutions using NLP, computer vision, and predictive analytics.Collaborate with business stakeholders to identify AI use cases and define solution roadmaps.Lead AI platform selection, deployment, and optimization.Ensure AI governance, security, scalability, and compliance.Mentor engineering teams and establish AI best practices.Prepare architecture documents, solution diagrams, and technical presentations.

Required Qualifications

Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Data Science, or related field.13+ years of IT experience, including AI solution architecture.Strong experience with Machine Learning and Deep Learning.Hands-on experience with Generative AI and LLMs.Experience with LangChain, Hugging Face, OpenAI APIs, and vector databases.Expertise in Python programming.Experience with TensorFlow, PyTorch, or Scikit-learn.Strong knowledge of cloud platforms (AWS, Azure, or Google Cloud).Experience with Docker, Kubernetes, Microservices, and REST APIs.Familiarity with MLOps, CI/CD, and AI model deployment.Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications

AWS Certified Machine Learning – Specialty.Microsoft Azure AI Engineer Associate.Google Professional Machine Learning Engineer.Experience with AI Agents, Prompt Engineering, and RAG architectures.Experience in Banking, Healthcare, Retail, or Insurance domains.

Technical Skills

PythonMachine LearningDeep LearningGenerative AILarge Language Models (LLMs)OpenAI APIsLangChainHugging FaceTensorFlowPyTorchScikit-learnVector Databases (Pinecone, FAISS, ChromaDB)Prompt EngineeringRAGAI AgentsAWS / Azure / Google Cloud PlatformDockerKubernetesREST APIsMicroservicesGitJenkinsCI/CDMLOps

Soft Skills

Strong solution architecture and system design expertise.Excellent leadership and mentoring abilities.Strong analytical and problem-solving skills.Excellent communication and stakeholder management.Experience working in Agile/Scrum environments.