AI Platform Architect / Engineering Lead :: Remote :: Hot Requirement

Position Name : AI Platform Architect / Engineering Lead Location: Remote Position Type: W2/Fulltime Work authorization: Any work authorization can apply for these openings. Education- Required a Bachelor Degree And Equivalent My name is Smriti Singh and I am a Staffing Specialist at HYR GLOBAL SOURCE INC. I am reaching out to you on an exciting job opportunity with one of our clients.

• We are looking for an experienced AI Architect to design, develop, and implement scalable, secure, and enterprise-grade Artificial Intelligence solutions. The ideal candidate will have strong expertise in AI/ML architecture, Generative AI, Large Language Models (LLMs), cloud-based AI platforms, and enterprise system integration.
• The AI Architect will be responsible for defining AI strategy, selecting appropriate technologies and frameworks, designing end-to-end AI solutions, and guiding engineering teams in building reliable AI applications. The role requires close collaboration with business stakeholders, data scientists, ML engineers, software developers, and cloud engineering teams to translate business requirements into practical AI solutions.
• Key Responsibilities
• Define and implement enterprise AI architecture, technology strategy, and solution roadmaps.
• Design end-to-end AI/ML solutions aligned with business objectives, scalability, security, and performance requirements.
• Architect and implement Generative AI solutions using LLMs, Retrieval-Augmented Generation (RAG), and prompt engineering.
• Evaluate and select appropriate AI models, frameworks, platforms, and tools based on business and technical requirements.
• Design AI-powered applications, intelligent automation solutions, conversational AI systems, and enterprise copilots.
• Develop architecture for data ingestion, preprocessing, vector databases, embeddings, and knowledge retrieval.
• Design and implement AI agents and agentic workflows where appropriate.
• Integrate AI solutions with enterprise applications, APIs, databases, and existing IT systems.
• Establish standards for model deployment, monitoring, evaluation, versioning, and lifecycle management.
• Define responsible AI practices, including data privacy, security, governance, explainability, and bias mitigation.
• Optimize AI solutions for latency, scalability, reliability, and operational cost.
• Collaborate with data scientists, ML engineers, software architects, and DevOps/MLOps teams.
• Lead architecture reviews, proof-of-concept development, technical assessments, and solution demonstrations.
• Mentor engineering teams and provide technical leadership throughout the AI solution lifecycle.
• Stay current with emerging AI technologies, industry trends, and architectural best practices.
• Required Skills and Qualifications
• Strong experience in software architecture, solution architecture, AI/ML engineering, or related technical roles.
• Deep understanding of AI, Machine Learning, Deep Learning, and neural network fundamentals.
• Hands-on experience designing and implementing Generative AI solutions using LLMs.
• Strong knowledge of RAG architectures, vector embeddings, semantic search, and vector databases.
• Experience with AI frameworks and libraries such as LangChain, LlamaIndex, PyTorch, or TensorFlow.
• Proficiency in Python and familiarity with API development and microservices architecture.
• Experience with cloud-based AI services and platforms such as AWS, Microsoft Azure, or Google Cloud.
• Understanding of data engineering, data pipelines, databases, and enterprise data integration.
• Experience with Docker, Kubernetes, CI/CD, and MLOps or LLMOps practices.
• Knowledge of AI security, responsible AI, model evaluation, and production monitoring.
• Strong problem-solving, communication, stakeholder-management, and technical leadership skills.

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