AI/ML Architect for Enterprise Solutions

*Job Title: AI/ML Architect* *Experience:* 8+ Years *Employment Type:* C2C *Priority:* P1 *Location:* Remote *Shift Timing:* 11:00 AM – 9:00 PM IST *Openings:* 1 *UAN Required* ## Job Summary We are looking for an experienced and hands-on *AI/ML Architect* to design, develop, and deliver scalable enterprise AI/ML and Generative AI solutions. The ideal candidate will have strong expertise in AI/ML architecture, Python development, Generative AI, LLMs, RAG, cloud platforms, and MLOps/LLMOps. This role requires a hands-on technical leader who can drive solutions from architecture and development through deployment, monitoring, and operationalization. ## Key Responsibilities * Architect, design, and implement end-to-end AI, ML, and Generative AI solutions. * Translate business requirements into scalable, secure, and production-ready technical architectures. * Develop and integrate AI/ML solutions using Python, APIs, AI frameworks, and cloud services. * Design solutions using *LLMs, RAG, embeddings, vector databases, vector search, and agentic AI*. * Build capabilities for model training, deployment, inference, evaluation, monitoring, and lifecycle management. * Implement *MLOps and LLMOps* practices including CI/CD, model and prompt versioning, automated testing, observability, and monitoring. * Integrate AI solutions with enterprise applications, APIs, data platforms, and cloud services. * Ensure security, privacy, Responsible AI, scalability, performance, reliability, and cost optimization. * Provide technical leadership through architecture design, hands-on development, code reviews, troubleshooting, and mentoring. ## Required Skills * *8+ years of experience* in AI/ML engineering, architecture, and enterprise solution delivery. * Strong hands-on development experience with *Python*. * Expertise in *Machine Learning, Deep Learning, NLP, and Generative AI/LLMs*. * Strong experience with *RAG, embeddings, vector databases/search, prompt engineering, context engineering, and LLM evaluation*. * Experience with *Agentic AI and model orchestration frameworks*. * Strong hands-on experience with at least one major cloud platform: *Azure, AWS, or GCP*. * Experience with *MLOps/LLMOps, CI/CD, model deployment, monitoring, containers, APIs, and microservices*. * Experience working with structured and unstructured data, data pipelines, and enterprise data platforms. * Strong understanding of *AI security, privacy, Responsible AI, and enterprise governance*. * Excellent communication and stakeholder management skills. ## Ideal Candidate The ideal candidate should be a *hands-on AI/ML technical architect* with strong enterprise experience who can independently design solutions, develop production-grade implementations, troubleshoot complex issues, and provide technical leadership across AI, engineering, architecture, product, and business teams.