Top Tech Jobs & Startup Jobs

Lead enterprise AI strategy, architecture, sales, and delivery across Agentic AI, GenAI, RAG, MLOps, and Azure platforms. Advise clients, define scalable architectures and roadmaps, oversee technical delivery and risk, support presales, mentor consultants, develop practice standards, and establish governance, security, compliance, and responsible AI practices.

Design, implement, support, and optimize complex Microsoft Azure cloud and DevOps solutions. Responsibilities include infrastructure automation, infrastructure as code, CI/CD pipelines, Azure networking, security, governance, high availability, Kubernetes, and post-implementation support. The role partners with architects, consultants, engineers, and business stakeholders to deliver client engagements, recommend improvements, and identify growth opportunities.

Own full-stack software delivery from architecture through production support. Build React and TypeScript interfaces, Python APIs, PostgreSQL data models, Azure deployments, and AI-powered applications using LLMs, RAG, agents, evaluation, and guardrails. Collaborate with consultants, architects, clients, and non-engineers to deliver solutions, while mentoring developers and maintaining high standards for testing, observability, reviews, and operational ownership.