AI Solutions Architect

We are seeking a highly experienced and innovative AI Solutions Architect with a strong foundation in traditional solution architect, full-stack development and cloud technologies with solid exposure and experience integrating enterprise platforms. In this role, you will be responsible for designing and implementing end-to-end AI-driven solutions while ensuring seamless integration with enterprise systems and cloud platforms. This position requires expertise in both traditional IT systems and cutting-edge AI/ML technologies, with a focus on building scalable, secure, and efficient architectures that leverage cloud-native services.

The ideal candidate will have deep knowledge of AI/ML models, modern development frameworks, and cloud services (particularly Azure), as well as experience integrating these with traditional enterprise platforms and infrastructures.

Key Responsibilities:
• AI Solutions Design: Lead the design, development, and deployment of AI and machine learning solutions, integrating them with existing enterprise systems or building cloud-native architectures.
• Enterprise Architecture: Architect traditional, cloud, and hybrid solutions, incorporating both on-premise and cloud-based systems (Azure) that support AI and full-stack applications.
• Full-Stack Development Leadership: Oversee full-stack development projects, guiding the design and implementation of both front-end (React, Angular) and back-end (Node.js, .NET) components, while integrating AI-powered features.
• Cloud Integration (Azure): Architect and implement solutions using Microsoft Azure services (e.g., Azure Machine Learning, Azure Kubernetes Service, Azure App Services, Cosmos DB) to develop, deploy, and scale AI/ML models and applications.
• AI/ML Pipelines: Design and implement AI model development pipelines, including data ingestion, model training, and deployment, while ensuring integration with enterprise data sources.
• Traditional and Modern Systems Integration: Architect solutions that seamlessly integrate traditional enterprise systems (e.g., CRM, ERP, data warehouses) with AI/ML models and modern full-stack applications.
• Security and Compliance: Ensure that AI solutions and full-stack architectures comply with security best practices, data governance, and industry-specific regulations, both in on-premise systems and cloud environments.
• Data Engineering: Design data architectures and pipelines to support AI and ML initiatives, ensuring high availability, performance, and scalability.
• Technical Leadership: Provide technical leadership across AI, cloud, and full-stack development teams, guiding best practices, architecture reviews, and strategic decisions.
• DevOps Integration: Implement DevOps practices (CI/CD, infrastructure as code) for AI model deployment and full-stack application development using tools like Azure DevOps, Docker, Kubernetes, and Terraform.
• Collaboration and Stakeholder Engagement: Work closely with business stakeholders, developers, and data scientists to translate business needs into scalable technical solutions.
• Documentation and Governance: Develop architecture documentation, technical specifications, and maintain governance over AI and cloud solutions to ensure alignment with business objectives and technical standards.

Required Skills and Qualifications:
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience: 8+ years of experience in solutions architecture, with at least 3 years focused on AI/ML solutions and a background in full-stack development.
• AI/ML Expertise: Strong understanding of machine learning models, deep learning, natural language processing (NLP), computer vision, and AI tools (e.g., TensorFlow, PyTorch).
• Azure Cloud Expertise: Proven experience with Microsoft Azure services (e.g., Azure App Services, Functions, AKS, Azure Machine Learning, Azure DevOps) and deploying AI solutions in cloud environments.
• Full-Stack Development: Strong knowledge of frontend (React, Angular) and backend (Node.js, .NET, Java) development, with experience building and deploying full-stack applications.
• Traditional Architecture: Experience with traditional IT infrastructure (e.g., databases, middleware, networking) and system integration across enterprise systems.
• Data Engineering: Familiarity with data architecture, ETL pipelines, and databases (SQL, NoSQL), along with integrating data sources for AI model development and full-stack applications.
• DevOps Practices: Experience with containerization (Docker, Kubernetes), automation, and CI/CD pipelines for both AI model deployment and application development.
• Security and Compliance: Understanding of security frameworks and compliance requirements, including identity management, data encryption, and secure coding practices.
• Problem Solving: Strong analytical skills and the ability to architect complex technical solutions for both AI/ML and full-stack systems.
• Leadership and Communication: Proven ability to lead and mentor teams, introduce new architectures, collaborate with cross-functional stakeholders, and communicate complex technical concepts to both technical and non-technical audiences.

Preferred Skills:
• Certifications: Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure AI Engineer, or other relevant certifications.
• Experience with AI Model Governance: Experience with AI governance, bias detection, and explainability in AI models.
• Cloud Migration: Experience leading cloud migration projects, transforming legacy systems to cloud-native architectures, and integrating AI capabilities.
• Agile Methodologies: Familiarity with Agile and Scrum practices for managing software development and AI projects.

*Due to the nature of the role having interactions with National & Global clients, English is required for this position.

The salary range for this position is $85,000 - $156,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as "Deloitte Days"), flexible work arrangements and a hybrid work structure.