Director of Engineering – AI Apps, Agent Studio

🔥 0 minutes ago

🇵🇹 Portugal – Remote

⏰ Full Time

🔴 Lead

🖥 Software Engineer

👻 Ghost score 11%

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Intermedia Cloud Communications

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

⚖️ Legal

💰 Venture Round on 2017-02

Consulting • Healthcare • Legal

Intermedia Cloud Communications is a leading provider of cloud-based communication solutions, specializing in unified communications, video conferencing, and various productivity tools. Their platform, Intermedia Unite, integrates voice, video, chat, and file management into a seamless user experience, enabling businesses to communicate and collaborate effectively from anywhere. With a focus on security and compliance, Intermedia serves a range of industries including healthcare, legal services, and financial services, helping organizations enhance productivity and customer care with advanced technology and support.

📋 Description

• Lead the engineering organization responsible for AI Apps and Agent Studio • Set the technical vision, architecture, execution model, and engineering standards for AI-powered applications and agent experiences • Own the engineering roadmap for Agent Studio and shared AI application capabilities • Drive architecture for production AI applications, including LLM integration, agent orchestration, tool/function calling, RAG, knowledge integration, prompt/configuration management, memory/context, and human handoff patterns • Partner with Product Management to translate AI product strategy and customer use cases into scalable platform capabilities, technical investments, delivery plans, and measurable outcomes • Establish engineering patterns for connecting AI agents to communications, contact center, voice, messaging, collaboration, customer data, and third-party applications • Ensure AI applications meet enterprise expectations for security, privacy, reliability, latency, observability, cost efficiency, governance, and responsible AI behavior • Define evaluation and quality frameworks, including automated testing, model and prompt evaluation, hallucination/error analysis, regression testing, safety controls, and production monitoring • Create platform capabilities enabling product teams and authorized users to build AI experiences rapidly while maintaining reusable architecture, governance, and operational controls • Collaborate across engineering, architecture, data/analytics, security, QA, SRE/DevOps, Product Management, and customer-facing teams • Define metrics for AI quality, task completion, containment/automation, latency, reliability, cost, adoption, customer outcomes, and engineering delivery performance • Develop engineering managers and senior technical leaders • Stay current with advances in generative AI, LLMs, agentic systems, evaluation methods, and AI infrastructure, making pragmatic build/buy/partner decisions

🎯 Requirements

• 10+ years of software engineering experience, including significant engineering leadership experience managing managers and/or multiple software development teams • Proven ability to define and execute technical roadmaps for scalable, highly available cloud software products and platforms • Strong understanding of software architecture, APIs, distributed systems, cloud-native development, security, observability, and modern software development life cycle practices • Experience partnering with Product Management to translate business strategy and product roadmaps into executable engineering plans, estimates, milestones, and technical investments • Experience building high-performing engineering organizations through hiring, coaching, performance management, succession planning, and development of engineering leaders and senior technical talent • Strong knowledge of Agile development, CI/CD, automated testing, code quality, release management, and DevOps/SRE practices • Strong problem-solving and analytical skills • Excellent communication and leadership skills • Experience with production generative AI applications, LLM platforms, AI assistants, conversational AI, or agentic systems • Experience with agent orchestration, tool/function calling, RAG, embeddings/vector search, knowledge retrieval, prompt/configuration management, and model APIs • Experience with AI evaluation, observability, guardrails, content/safety controls, latency optimization, token/model cost management, and production monitoring • Cloud-native software development on Microsoft Azure and/or AWS • Integration of AI with enterprise applications, APIs, communications/contact center systems, voice, messaging, or workflow automation strongly preferred • Speech AI experience highly desirable • Understanding of enterprise AI security, privacy, data governance, model governance, and responsible AI practices

🏖️ Benefits

• Equal opportunity employer • Reasonable accommodations for identified disabilities or other limitations as required by applicable laws • Commitment to diversity and inclusion • Promotion from within • Collaborative, transparent workplace culture