As a Lead AI Architect, you will play a crucial role in designing and developing advanced, scalable, AI/ML solutions for the Intapp products. You will work with cross-functional teams to understand business requirements and translate them into scalable and efficient AI architectures and solutions.
You will drive architectural decisions and establish data engineering and AI/ML service design standards, policies, and best practices. Additionally, you will embed Responsible AI principles into every product, focusing on explainability, data drift detection, bias mitigation, and fairness metrics.
You will utilize hands-on experience with evolving AI frameworks and design patterns to ensure successful deployment of AI models in production environments. You will design end-to-end AI solutions, encompassing data collection, preprocessing, model development, deployment, and monitoring. Additionally, implementing AI governance principles and methodologies within AI pipelines and solutions will be critical.
What you will do:
Architecting and designing scalable, high-performance, reliable, and cost-effective AI software and services for the Intapp suite of products
Designing and developing AI architectures, frameworks, and algorithms that can support large-scale and sophisticated AI solutions using Retrieval augmented generation (RAG), Contextual AI, Prompt Engineering etc.
Working on cross-product integration and developing AI solutions that span multiple products
Working with the Data and AI team leveraging common architectural artifacts to implement data ingestion solutions to support the delivery of AI/ML capabilities deployed across multiple products
Translating customer requirements into architectural models that operate at large scale, with high performance and deployed on an efficient cloud infrastructure
Monitoring and measuring the performance, availability, and reliability of AI solutions, and identifying and resolving any issues or risks
Evaluating and comparing various AI technologies, frameworks, and platforms, such as cloud-based AI services, ML libraries, natural language processing tools, etc.
Defining, deploying and advancing processes for: AI/ML Development and MLOPS including API-first principles, microservices, SDLC/MDLC (model development life cycle), CI/CD, quality, monitoring, observability, security, extensibility and maintainability of software and services
Leading by example to review code, look for design breaches, provide meaningful and relevant feedback to data scientists and engineers, stay up to date with system changes
Collaborating with other product architects, data scientists, developers, testers, and business stakeholders to ensure the quality and consistency of AI solutions
Developing and presenting business cases, roadmaps, and architectures for AI initiatives, and communicating the value and impact of AI solutions to senior management and stakeholders
Partnering with development leads to create and promote best practices and standards for AI development and deployment
What you will need:
4+ years of experience in architecting and building AI and ML enterprise-level products or platforms in a SaaS oriented product development organization. Designing cloud native services preferably in Azure
Demonstrate strong knowledge of AI concepts, technologies, and best practices, and the ability to apply them to solve business problems
Strong proficiency in Python, SQL, and familiar with frameworks like TensorFlow or PyTorch
Understanding of machine learning algorithms such as Linear and Logistic regressions, Decision tree, Naive Bayes, KNN, K-means, Random Forest
Experience in working with and fine-tuning Large Language Models (LLMs) and building scalable applications using LLMs.
5+ years of experience in architecting distributed B-2-B based systems in a complex business architecture using microservices, event-driven architecture, and distributed computing.
8+ years of previous software engineering experience with proficiency in:
One or more modern programming languages like Java, Python or C#
Database (SQL & NoSQL) and vector database technologies
Enterprise-level caching, messaging and event streaming solutions (Redis, Kafka, Pub Sub, Spark)
CI /CD, DevOps, and related tooling, including Azure DevOps, Jenkins, etc.
Nice to have:
Experience building, optimizing deploying ML workflows/pipelines. Experience working with Docker containers and cloud-based computing environments
Understanding of NLP algorithms, LLMs and Generative AI
Knowledge of ethical considerations and responsible AI practices is a plus.
Proactive attitude towards staying updated with the latest advancements in machine learning
Experience with data governance and management best practices. Data modeling specifically for building insights and serving
Excellent problem-solving and analytical skills, with the ability to break down complex problems into actionable components.
Possess excellent communication, presentation, and interpersonal skills, and the ability to explain complex AI concepts and solutions to both technical and non-technical audiences
Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams.
Strong leadership and mentorship skills
Master’s or PhD in Computer Science, AI, or a related field or equivalent experience
What you'll 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:
Competitive base salary plus variable compensation and equity
Generous paid parental leave, including adoptive leave
Traditional comprehensive benefits, plus:
Generous Paid Time Off
Tuition reimbursement plan
Family Formation benefit offered by Carrot
Wellness programs and benefits provided by Modern Health
Paid volunteer time off and donation matching for the causes you care about
Opportunities for personal growth and professional development supported by a community of talented professionals
An open, collaborative environment where your background and contributions are valued
Experience at a growing public company where you can make an impact and achieve your goals
Open offices and kitchens stocked with beverages and snacks
#LI-MT2
Your actual base salary will be determined by factors such as relevant experience, geographic location, and internal equity. In addition to base salary, variable compensation and equity may also be included.
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. All offers are contingent upon passing a criminal history and other background checks if applicable to the position.
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.