





Niche Generative AI role lowers competition, but mid-level seniority and metro hybrid setup increase applicant density.
Role requires deep ML/LLM architecture and enterprise integration experience, limiting cross-industry transferability.
Explicit 5+ years plus mandatory LLM, Azure, and enterprise integration skills enforce strict filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and deliver enterprise-grade Agentic and Generative AI solutions integrated with core business systems such as ServiceNow, ERP, CRM, and data analytics platforms.
Define scalable, secure, and production-ready AI architectures, including multi-agent and workflow-based systems.
Collaborate with business and technical stakeholders to transform real-world use cases into AI-driven workflows and ensure best practices in observability, logging, performance, and AI safety.
5+ years of software engineering experience with strong backend development skills; Python preferred.
Degree in Computer Science or a related field.
Proven hands-on experience with Large Language Models (e.g., GPT) and agentic AI architectures in enterprise environments.
Mandatory experience integrating AI solutions with enterprise platforms such as ServiceNow, ERP systems, or CRM platforms.
Experienced in designing orchestrator and multi-agent AI systems and familiar with RAG and grounding strategies.
Skilled in system integration using REST APIs and authentication protocols like OAuth, Entra ID, and RBAC.
Strong expertise with Microsoft Azure services including Azure OpenAI and containerized deployments, along with CI/CD pipeline familiarity.