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LanceSoft Inc

Enterprise Architect 3

LanceSoft Inc, Austin, Texas, us, 78716

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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. Analyzes customer service requirements and designs service solutions to meet those objectives. Acts as the primary expert to construct the specific solution, scope document, risk profile, and corresponding financials. Maintains and utilizes detailed industry and internal services knowledge in constructing industry-leading service solutions, including expert working-level knowledge of processes, technologies, and personnel involved in the services arena. Uses expertise to construct detailed solutions encompassing process, technology, and staffing plans for customer sales opportunities. Constructs risk assessments and remediation plans relative to complex services proposals. Participates in building detailed financial models aligned with complex services proposals. Drafts Statements of Work or other documents, using departmental automation tools, to specify processes, technology, staffing, and project management involved in proposed services solutions. Provides as needed a "trusted expert advisor" role as a Subject Matter Expert for technical services, offering formal advice and customer presentations. Follows all organizational Standard Operating Procedures related to cost modeling, approvals, reviews, workflow, and deliverables. The enterprise architect will be responsible for:

Designing and maintaining enterprise-level architecture aligned with organizational goals and technical requirements. Developing scalable, secure, and resilient enterprise infrastructure, ensuring adherence to best practices. Evaluating current infrastructure and identifying components for cloud migration, creating detailed migration strategies including timelines and resource allocation. Implementing and validating migration processes to ensure data integrity and system functionality. Ensuring architecture compliance with industry standards and regulatory requirements. Collaborating with stakeholders to understand business needs and translating them into technical solutions. Advising on AI/Machine Learning/Deep Learning and generative AI projects, mapping relevant Azure, Google, and AWS services. Analyzing AI services to extract technical and business insights that inform reference architectures, runbooks, and training content. II. CANDIDATE SKILLS AND QUALIFICATIONS

Minimum Requirements: 10+ years experience architecting enterprise application solutions across on-premises and cloud infrastructure. 10+ years experience architecting solutions in cloud platforms such as GCP, Azure, and AWS. 8+ years developing cloud-native application architectures across leading cloud platforms. 8+ years architecting solutions utilizing IaaS, PaaS, and SaaS service models. 8+ years experience in all phases of Machine Learning, AI, and Deep Learning solutions using Azure, AWS, or Google technologies. Strong understanding of virtual networks, VPNs, DNS, load balancers, and firewalls. Understanding of cloud security frameworks, encryption, IAM, and compliance standards like GDPR, HIPAA. Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code tools like Terraform or CloudFormation. Knowledge of API design, development, and management, including RESTful and SOAP APIs. Knowledge of microservices, serverless architectures, and cloud-native application development. Excellent communication skills to articulate cloud strategies and solutions. Experience with cloud-based AI/ML services such as Azure Machine Learning, AWS SageMaker, Google Vertex AI, etc. Preferred certification: AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Professional Cloud Architect.

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