AI Application Architect

About the role

AI Application Architect - AI, ML, GenAI, GCP, IBM Watsonx, Vertex AI, Python, MLOps. We are seeking an accomplished AI Application Architect to join our AI Acceleration teams and play a pivotal role in designing and delivering enterprise‑scale AI and Generative AI (GenAI) systems. As an AI Architect, you will be responsible for defining application architectures for ML/GenAI solutions on cloud platforms & tools such as GCP, Vertex AI, IBM Watsonx, leading end‑to‑end design and implementation, and driving adoption of emerging technologies and frameworks across the organization. This is a hands‑on technical leadership role that requires deep expertise in AI/ML fundamentals, enterprise architecture design, and practical experience building production‑grade AI/GenAI solutions. You will collaborate with data scientists, ML engineers, software engineers, and business stakeholders to deliver scalable, secure, and innovative AI‑powered systems that create measurable business value. Key responsibilities include architecting and designing application and system architectures for ML/GenAI solutions on cloud platforms, building, deploying, and maintaining enterprise‑scale AI/ML applications, leading research and adoption of emerging AI/GenAI technologies, partnering with product, engineering, and business teams, defining end‑to‑end architecture for data pipelines, model development, deployment, monitoring, and retraining, promoting best practices in AI/ML system design, data governance, MLOps, and ethical AI, providing technical leadership and mentorship, staying current with advances in AI/ML, GenAI, LLMs, and cloud‑native architecture, defining roadmaps and strategies for AI adoption, and collaborating with executives and cross‑functional leaders. Required qualifications include a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field, 7+ years of experience designing, building, and deploying AI/ML solutions, hands‑on expertise in cloud platforms (GCP Vertex AI (preferred), AWS SageMaker, or Azure ML), strong programming skills in Python, Java, or C++, proficiency with ML/AI frameworks (PyTorch, TensorFlow, Keras), deep understanding of ML/AI fundamentals, hands‑on experience in ML domains such as NLP, computer vision, or reinforcement learning, MLOps practices and tools, strong knowledge of software architecture principles, cloud networking, and security best practices, and excellent communication and leadership skills. Preferred qualifications include experience leading research initiatives, cross‑functional enterprise projects, knowledge of data governance, security frameworks, regulatory compliance (GDPR, HIPAA, SOX), prior experience launching AI/GenAI solutions into production at scale, and active involvement in the AI/ML community.

What you’ll do

• Architect and design application and system architectures for ML/GenAI solutions on cloud platforms, tools (GCP, Vertex AI, IBM Watsonx).
• Build, deploy, and maintain enterprise‑scale AI/ML applications, ensuring they are production‑ready, secure, and scalable.
• Lead research and adoption of emerging AI/GenAI technologies, frameworks, and tools at the enterprise level.
• Partner with product, engineering, and business teams to translate business challenges into robust AI/GenAI solutions.
• Define end‑to‑end architecture for data pipelines, model development, deployment, monitoring, and retraining.
• Promote and evangelize best practices in AI/ML system design, data governance, MLOps, and ethical/responsible AI.
• Provide technical leadership and mentorship to AI/ML engineers and data scientists across business units.
• Stay current with advances in AI/ML, GenAI, LLMs, and cloud‑native architecture, and identify opportunities for adoption.
• Define roadmaps and strategies that accelerate AI adoption and help the enterprise transition from descriptive to predictive and prescriptive analytics.
• Collaborate with executives and cross‑functional leaders to advocate AI/GenAI capabilities and drive enterprise‑wide adoption.

What you’ll bring

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field.
• 7+ years of experience designing, building, and deploying AI/ML solutions including monitoring, scaling, and optimization in production at enterprise scale.
• Hands‑on expertise in cloud platforms (GCP Vertex AI (preferred), AWS SageMaker, or Azure ML) and cloud‑native application design.
• Strong programming skills in Python, Java, or C++ and proficiency with ML/AI frameworks (PyTorch, TensorFlow, Keras).
• Deep understanding of ML/AI fundamentals: statistical modeling, architectures, representation, reasoning, and generative models (LLMs, diffusion).

Nice to have

• Experience leading research initiatives and driving enterprise‑wide adoption of new technologies.
• Experience with cross‑functional enterprise projects, including scoping, de‑risking, and scaling AI/GenAI adoption.
• Knowledge of data governance, security frameworks, and regulatory compliance (GDPR, HIPAA, SOX).
• Prior experience launching AI/GenAI solutions into production at scale using both open‑source and vendor platforms.
• Active involvement in the AI/ML community through publications, open‑source contributions, or industry collaborations.

Skills

Education

Bachelor's