Company Overview
At Bridgenext, we engineer Growth Operating Systems.
Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that function, but no system that wins.
We help growth-hungry companies close that gap by turning fragmented platforms, siloed teams, and disconnected data into one integrated Growth OS.
More than a technology company or marketing agency, we're a global digital consultancy with experts in engineering, data, AI, creative and more.
Our teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do.
Every team member directly shapes our work, culture, and values.
Nothing matters more to us than a kind, respectful, fulfilling environment that supports everyone.
Our versátil, inclusive culture gives you the autonomy, resources, and opportunities to thrive.
Position Description
The AI Technical Lead is a hands-on technical leadership role responsible for designing, developing, and delivering production-grade AI solutions.
The role combines strong software engineering and solution architecture expertise with hands-on experience in Generative AI, LLMs, RAG, Agentic AI, Model Context Protocol (MCP), AI-enabled SDLC, and Microsoft Azure.
The Technical Lead will translate business requirements into scalable AI solutions, provide technical direction to engineering teams, establish reusable patterns and guardrails, and ensure solutions meet enterprise requirements for security, reliability, performance, observability, cost, and Responsible AI.
Key Responsibilities & Technical Skills:




Design and deliver enterprise AI solutions using LLMs, RAG, Agentic AI, enterprise knowledge retrieval, and intelligent automation
Strong hands-on experience with Azure OpenAI, Microsoft Foundry/Azure AI services, and frameworks such as LangChain/LangGraph, Semantic Kernel, LlamaIndex, or comparable technologies
Design prompt and context engineering, structured outputs, tool/function calling, agent orchestration, memory, and human-in-the-loop workflows
Design and implement MCP servers/clients to securely connect AI agents with enterprise applications, APIs, data, and tools
Strong understanding of Microsoft Azure architecture, including Azure AI services, AI Search, API Management, App Services/Functions/Containers, Service Bus, Storage, databases, Key Vault, Entra ID, networking, monitoring, and CI/CD
Design secure, scalable, resilient, observable, and cost-effective cloud architectures using appropriate Azure patterns
Strong software engineering experience with Python, C#/.
NET, and/or TypeScript/Jtructure-heavy systems involving telemetry, APIs, data pipelines, cloud environments, performance, and Infrastructure as Code.
You'll collaborate closely with engineering and quality architecture teams while helping ensure that complex platform capabilities remain reliable as they evolve across continuous sprint deliveries.Benefits & Perks:Home office;Competitive compensation based on experience;Career plans to allow for extensive growth in the company;International Projects;Oowlish English Program (Technical and Conversational);Oowlish Fitness with Total Pass;Games and Competitions;
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