Enterprise Architect

Job Description: Requirements: Responsible for translating the client's business requirements into specific systems, applications or process designs with interlocked financial modeling for very large complex technical solutions. nalyzes customer service requirements and designs service solutions to meet those objectives. Primary expert to construct the specific solution, scope document, risk profile, and corresponding financials. Maintains and utilizes detailed industry and internal services knowledge in the construction of industry-leading services solutions, including expert working level knowledge of the processes, technologies, and people components involved in the services arena. Uses expertise to construct specific and detailed solutions that encompass process, technology, and staffing plans for customer sales opportunities. Constructs risk assessments and corresponding remediation plans relative to complex services proposals. Participates in the construction of detailed financial models that align with complex services proposals. Composes Statement of Work or other documents, using departmental automation tools as available, to craft detailed and accurate deliverables that specify processes, technology, staffing, and project management involved in proposed services solutions. s needed, provide "trusted expert advisor " role as a Subject Matter Expert for technical services, to both internal and external customers, ranging from formal advice to internal and external customer presentations. Follow all organizational Standard Operating Procedures relative to cost modeling, approvals and reviews, and all other associated workflow and deliverables. The enterprise architect will be responsible for: Design and maintain enterprise-level architecture that aligns with organizational goals and technical requirements. Develop scalable, secure, and resilient enterprise infrastructure, ensuring adherence to best practice. Evaluate current infrastructure and identify components for cloud migration, creating a detailed migration strategy including timelines and resource allocation. Implement and validate migration processes to ensure data integrity and system functionality. Ensure compliance of architecture with industry standards and regulatory requirements. Collaborate with stakeholders to understand business needs and translate them into technical solutions. dvise on AI/Machine Learning/Deep Learning and generative AI projects, mapping relevant Azure, Google, and AWS services. nalyze AI services to extract technical and business insights that inform reference architectures, runbooks, and training content. Skills: 10 years of experience architecting enterprise application solutions across on-premises and cloud infrastructure. 10 years of experience architecting solutions in one or more cloud platforms such as Google Cloud Platform, Microsoft Azure, and Amazon Web Services. 8 years of experience developing cloud-native application architectures across leading cloud platforms. 8 years of experience architecting solutions using fit-for-purpose service models such as IaaS, PaaS, and SaaS. 8 years of experience working across all phases of Machine Learning, Artificial Intelligence, and Deep Learning solutions using Azure, AWS, or Google technologies. 8 years of experience with virtual networks, VPNs, DNS, load balancers, and firewalls. 8 years of experience with cloud security frameworks, encryption, identity and access management (IAM), and compliance standards such as GDPR and HIPAA. 8 years of experience working with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC) tools such as Terraform or CloudFormation. 8 years of experience in API design, development, and management, including RESTful and SOAP APIs. 8 years of experience with microservices, serverless architectures, and cloud-native application development. 8 years of experience demonstrating strong verbal and written communication skills to articulate cloud strategies and solutions to stakeholders. 6 years of experience working with cloud-based AI/ML services such as Azure Machine Learning, Cognitive Services, AWS SageMaker, Redshift, EC2, Data Pipeline, Kinesis, EMR, Transcribe, or Google Cloud Vertex AI and Agent Builder. 1 year of experience holding or working toward cloud certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Professional Cloud Architect.

Created: 2026-03-10