Why This Role Stands Out
You'll have the opportunity to develop cutting-edge AI solutions using Azure, Copilot Studio, and the Power Platform, shaping enterprise-grade conversational AI and intelligent workflows. This role is perfect for a driven developer with strong software engineering fundamentals and hands-on experience in these Microsoft technologies, eager to contribute to impactful projects within a reputable company. Apply now to advance your career in the exciting field of AI development.
Quick Overview
Job Description
Hi,
We are looking for AI/ML Architect for one of our clients.
AI/ML Architect – AI Services & ServiceNow Integration
Position Overview
We are seeking an experienced AI/ML Architect to design, develop, and implement enterprise-grade AI/ML solutions. The ideal candidate will have strong experience building AI/ML applications, deploying and hosting AI services, and integrating AI capabilities into enterprise platforms.
Experience with ServiceNow development and integration is highly preferred, particularly for candidates who have worked on embedding AI/ML capabilities into ServiceNow workflows, applications, or enterprise service management platforms.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field.
- 8+ years of experience in software engineering, AI/ML, data science, or technology architecture, with significant experience in AI/ML solutions.
- Proven experience designing and building AI/ML applications and enterprise AI services.
- Strong understanding of Generative AI, LLMs, NLP, machine learning, deep learning, and AI application architecture.
- Experience deploying and hosting AI/ML services using cloud platforms and/or containerized environments.
- Strong programming experience in Python and familiarity with frameworks such as PyTorch, TensorFlow, scikit-learn, LangChain, LlamaIndex, or equivalent technologies.
- Experience with cloud AI/ML services on platforms such as AWS, Microsoft Azure, or Google Cloud.
- Understanding of vector databases, embeddings, RAG architectures, prompt engineering, and LLM integration.
- Strong knowledge of software architecture principles, distributed systems, security, scalability, and performance optimization.
Preferred Qualifications
- Hands-on ServiceNow development and integration experience.
- Experience integrating AI/ML or Generative AI services with ServiceNow.
- Experience with ServiceNow AI Search, Now Assist, Virtual Agent, IntegrationHub, Flow Designer, REST/SOAP APIs, or custom ServiceNow applications.
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