July 23, 2026

Azure Solutions Architect

Mindlance Washington, District of Columbia

Position Summary: Position Title: Architect Standard III Duration: 12 Months - Long Term Location: Washington, DC 20433 The primary objectives of this assignment are to:Identify and evaluate emerging AI and cloud technologies relevant to client business needs.Design and implement rapid proof-of-concepts to validate business and technical feasibility.Define enterprise architecture and production readiness requirements for selected solutions.Establish scalable, secure, and maintainable Azure-based solution architectures.Accelerate software delivery through the adoption of AI-assisted development practices .Provide architectural leadership throughout the solution lifecycle from ideation to production deployment.SCOPE OF WORKConduct market research on emerging AI platforms, foundation models, AI agents, orchestration frameworks, developer tools, and enterprise AI products.Analyze vendor offerings, market trends, product maturity, security considerations, and implementation models.Design end-to-end solution architectures leveraging Microsoft Azure services.Define architecture patterns for AI, cloud-native applications, integrations, APIs, data platforms, and automation solutions.Ensure alignment with enterprise architecture, security, governance, and operational standards Develop architecture artifacts, design documents, and implementation roadmaps.Integrate GenAI agents into the existing back-end codebase, APIs, and data pipelines.Ensure production readiness by addressing error handling, retries, idempotency, logging, and monitoring.Participate in the full software development lifecycle, from design and implementation to testing, deployment, and production support.Collaborate with business stakeholders to refine requirements and solution vision.Support project teams through architecture reviews, technical assessments, and implementation planning.Participate in architecture governance forums and design reviews.Mentor development teams on modern cloud and AI architecture practices.Participate in code reviews and contribute to shared engineering standards and best practices.Actively participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives.SKILLS / EXPERIENCE REQUIRED

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