Deloitte's AI & Engineering team is looking to hire an AI Solution Architecture/Specialist Master to help clients transform technology platforms, drive innovation, and improve financial performance, accelerate new digital ventures, and fuel growth through innovation by building, deploying, and operating integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.
Requirements
- Hands-on experience in Java, Python, or .NET.
- Deep understanding of AI/ML concepts, including experience with LLMs and their application in enterprise settings.
- Experience implementing multiple AI solutions in a professional, real-world environment.
- Strong understanding of security implications related to AI/ML systems (e.g., data privacy, model poisoning, adversarial attacks).
- Familiarity with various hyperscaler tools and services.
- Hyperscaler Architect certification is required (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, or GCP Professional Cloud Architect).
- Certification with a focus on Machine Learning (e.g., AWS Certified Machine Learning - Specialty).
Responsibilities
- Lead the design and development of enterprise-grade AI applications and platforms, with a focus on scaling AI solutions for production. This includes defining the technical architecture, selecting appropriate technologies, and ensuring solutions are robust, scalable, and secure.
- Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference, and monitoring, with an emphasis on production-level performance and reliability.
- Collaborate with enterprise architects to ensure AI solutions align with the broader company's technical strategy, governance, and standards.
- Design and deploy applications using Cloud Native principles on a hyperscaler platform (AWS, Azure, GCP). Leverage a wide range of hyperscaler tools and services, including containers (Docker, Kubernetes), serverless functions, and managed databases. Should have experience in leveraging various GenAI tools to accelerate software development life cycle.
- Ensure the security of all AI/ML systems by addressing potential vulnerabilities such as data privacy concerns, model poisoning, and adversarial attacks.
- Apply and enforce Application Design Patterns and Agentic Design Patterns to build resilient and maintainable software systems.
Other
- 8+ years' experience as a Software or Solution Architect, with a strong focus on application development and scaling solutions for production environments.
- Ability to travel up to 50%based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
- Experience leading high performance, results driven teams.
- Excellent interpersonal and organizational skills, ability to handle diverse situations, multiple initiatives and rapidly changing priorities.
