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 SummaryWe 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 โ 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- Python
- Machine Learning
- Deep Learning
- Generative AI
- Large Language Models (LLMs)
- OpenAI APIs
- LangChain
- Hugging Face
- TensorFlow
- PyTorch
- Scikit-learn
- Vector Databases (Pinecone, FAISS, ChromaDB)
- Prompt Engineering
- RAG
- AI Agents
- AWS / Azure / Google Cloud Platform
- Docker
- Kubernetes
- REST APIs
- Microservices
- Git
- Jenkins
- CI/CD
- MLOps
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.