Cloud Platform Architect

About the Role

As a Cloud Platform Architect within our Cloud Engineering organization, you will play a critical role in designing, building, and maintaining our cloud infrastructure and platform services. You will collaborate with product engineering teams to ensure that our applications are built on a scalable, reliable, and efficient cloud foundation.

As we accelerate our investment in AI and agentic workloads, you will play a pivotal role in shaping the foundational infrastructure that powers intelligent, autonomous systems at scale. This is a high-impact, high-visibility position that sits at the intersection of platform engineering, AI infrastructure, and enterprise architecture.

About Intapp:

Intapp, based in Silicon Valley, is a leader in Vertical AI SaaS company, collaborating with over 2,550 professional and financial services firms globally. With 20+ years of industry expertise, Intapp's "Intelligence Applied" approach is transforming how businesses operate and leverages a strategic partner with Microsoft in delivering industry cloud solutions. The company culture promotes accountability, responsibility, and growth in a diverse, inclusive, and collaborative environment. Since going public in 2021, Intapp has expanded to over 1,600 employees globally with development centers in Palo Alto, Charlotte, Belfast, Berlin, and Lisbon.  

What you will do:

Platform Design & Architecture

• Take ownership of the cloud platform architecture used by product teams, ensuring it meets their needs and integrates seamlessly with their applications.

• Lead the design and architecture of cloud platform components purpose-built to support AI and agentic workloads, including model serving infrastructure, vector databases, orchestration frameworks, and agent runtime environments.

• Collaborate with product engineering teams to understand their requirements and translate them into robust, scalable platform architectural solutions.

• Oversee the integration of new features and capabilities into the cloud platform, maintaining a focus on performance, cost efficiency, security, and scalability.

AI & Agentic Platform Engineering

• Architect cloud infrastructure to support large-scale AI/ML model training, fine-tuning, and inference workloads.

• Collaborate with AI/ML engineering teams to define infrastructure requirements for retrieval-augmented generation (RAG) architectures, vector database integrations, and LLM deployment patterns.

• Evaluate and implement AI-specific cloud services and frameworks, including Azure AI, Azure Machine Learning, and relevant open-source tooling.

Technology Evaluation & Selection

• Continuously research and evaluate new cloud technologies and tools — with particular focus on emerging AI and agentic computing paradigms — to identify opportunities for improvement.

• Make evidence-based recommendations for technology adoption aligned with strategic goals and engineering principles.

Collaboration & Technical Leadership

• Partner closely with product engineering teams through design reviews, architecture review boards, and sprint planning to guide best-practice cloud and AI architecture decisions.

• Review and refine existing architectures to align with evolving business needs, technological advancements, and AI strategy.

• Mentor and coach engineers across the organization on cloud architecture principles, AI infrastructure patterns, and platform best practices.

• Drive organization-wide architecture standards and serve as a key voice in shaping the company's cloud and AI platform roadmap.

What you will need:

Education & Experience

• Bachelor’s degree in computer science, Engineering, or a related field (or equivalent practical experience).

• 8+ years of experience in cloud architecture.

• Proven track record of designing and implementing large-scale cloud solutions in production environments.

• Hands-on experience with AI/ML infrastructure, including model serving, training pipelines, and agentic system design.

Technical Skills

• Deep understanding of cloud architecture principles, design patterns, and best practices at enterprise scale.

• Expertise in Azure cloud services and architecture, including AKS, Azure AI, Azure Machine Learning, and Azure OpenAI Service.

• Proficiency in Kubernetes orchestration, containerization, and microservices architecture.

• Strong knowledge of relational databases (PostgreSQL, MSSQL) and familiarity with vector databases (e.g., Pinecone, Weaviate, Azure AI Search).

• Experience with agentic AI frameworks such as LangChain, AutoGen, or Semantic Kernel.

• Familiarity with LLM deployment patterns, including inference optimization, fine-tuning, and RAG architectures.

• Experience with serverless computing, event-driven architectures, and related frameworks.

• Proficiency across Linux and Windows server environments.

Soft Skills

• Excellent communication and collaboration skills, with the ability to work effectively across engineering, product, and executive stakeholders.

• Strong problem-solving and analytical skills with a bias for pragmatic, scalable solutions.

• Demonstrated ability to lead, influence, and mentor engineering teams without direct authority.

• Proven track record of managing complex, cross-functional projects and delivering on time.

What you will gain at Intapp:

Our culture at Intapp emphasizes accountability, responsibility, and growth.  We support each other in a positive, open atmosphere that fosters creativity, approachability, and teamwork. We’re committed to creating a modern work environment that’s connected yet flexible, supporting both professional success and work-life balance. In return for your passion, commitment, and collaborative approach, we offer:

• A state-of-the-art facility with a fully stocked kitchen – only a 2-minute walk to/from Gare do Oriente.

• A hybrid work system supporting agile and flexible hours.

• Attractive compensation – including competitive base pay and performance-based variable pay.

• Equity/Stock in Intapp.Opportunity to travel to other development centers for product training and cross-site collaboration.

• One-time home office stipend.

• Generous paid parental leave (including adoptive leave), marriage leave, bereavement leave, carer's leave, and paid sick days.

• Meal allowance.

• Reimbursement for training towards continuing education.

#Li-MT2

Intapp provides equal employment opportunities to all qualified applicants and will make hiring decisions without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristic protected by federal, state or local laws.

Please note: Intapp will not hire through text message, social media, or email alone. We will never extend a job offer unless you have been contacted directly by an Intapp recruiter and have participated in the interview process which will generally consist of 3 or more virtual or in person meetings. Please note that Intapp only uses company email addresses, which contain “@intapp.com” or “@dealcloud.com” to communicate with candidates via email. Intapp will never ask for financial information of any kind or for any payment during the job application process. We post all legitimate job openings on the Intapp Career Site at https://www.intapp.com/working-at-intapp/. If you believe you were a victim of such a scam, you may contact your local authorities. Intapp is not responsible for any claims, losses, damages, or expenses resulting from scammers.