Director of Engineering - AI Apps & Agent Studio
Intermedia Intelligent Communications
·Yesterday
- Location
- Portugal
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Seniority
- Director
- Source
- Pinpoint
Description
Director of Engineering - AI Apps & Agent Studio
Department: Dev & Engineering
Employment Type: Full Time
Location: Portugal
Reporting To: Rui Eduardo Gouveia Gil
Description
About Intermedia
Are you looking for a company where YOUR VOICE is heard? Where you can MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you.
Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years!
Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back!
Are you ready to make your mark?
About the Role
We are looking for a Director of Engineering to lead AI Apps and Agent Studio, with responsibility for the engineering organization, technical strategy, architecture, and delivery of enterprise AI applications and agent-building capabilities. This leader will help turn AI innovation into reliable, secure, scalable product experiences by combining modern software engineering with generative AI, agent orchestration, enterprise integrations, and operational excellence. The role requires strong engineering leadership as well as the ability to guide teams through a rapidly evolving AI technology landscape.
What you will be doing:
- Lead the engineering organization responsible for AI Apps and Agent Studio, setting 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 used to create, configure, test, deploy, evaluate, monitor, and manage AI agents and assistants.
- Drive architecture for production AI applications, including LLM integration, agent orchestration, tool/function calling, retrieval-augmented generation (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 Intermedia 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 for AI applications, including automated testing, model and prompt evaluation, hallucination/error analysis, regression testing, safety controls, and production monitoring.
- Create platform capabilities that allow 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 to operationalize AI capabilities at scale.
- 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 and foster a culture of experimentation, measurable learning, technical rigor, accountability, and responsible innovation.
- Stay current with rapid advances in generative AI, LLMs, agentic systems, evaluation methods, and AI infrastructure, making pragmatic build/buy/partner decisions aligned with Intermedia’s strategy.
What you will bring to the role:
- 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.
- Demonstrated 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 with the ability to make sound technical and organizational decisions in a fast-paced environment.
- Excellent communication and leadership skills, including the ability to influence executives, product leaders, architects, engineers, and cross-functional stakeholders.
Technology & Domain Experience
- Production generative AI applications, LLM platforms, AI assistants, conversational AI, or agentic systems.
- Agent orchestration, tool/function calling, RAG, embeddings/vector search, knowledge retrieval, prompt/configuration management, and model APIs.
- 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, including scalable APIs, distributed services, data stores, messaging, and CI/CD.
- Integration of AI with enterprise applications, APIs, communications/contact center systems, voice, messaging, or workflow automation is strongly preferred.
- Experience with speech AI technologies such as speech-to-text, text-to-speech, conversational voice agents, or real-time AI interactions is highly desirable.
- Understanding of enterprise AI security, privacy, data governance, model governance, and responsible AI practices.
Diversity, Inclusion, and Equal Opportunity
We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills
AWSAzureCI/CDAgileDevOpsSRE