Senior AI & Azure Cloud Solutions Architect

Papigen

Washington (District of Columbia)

On-site

USD 180,000 - 230,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Papigen is seeking an experienced Solution Architect — AI & Azure Cloud to design, evaluate, and implement enterprise-scale AI and cloud solutions. You will drive AI proof-of-concepts (POCs) and define scalable Azure architectures, guiding production transitions with stakeholders across security, engineering, and product teams.

In this role, you will architect end-to-end Azure-based solutions, build AI integrations, and mentor teams on modern software engineering practices.

Qualifications

Bachelor’s or Master’s degree in Computer Science, IT, or related field.
10 years of software engineering and solution architecture experience.
5 years designing enterprise solutions on Microsoft Azure.
Experience evaluating emerging AI technologies and delivering AI POCs.
Hands-on experience implementing Generative AI, LLMs, AI Agents, or RAG.
Strong understanding of cloud-native architecture, microservices, REST APIs, and integration patterns.
Experience developing APIs using FastAPI or similar frameworks.
Experience with CI/CD pipelines and Git-based workflows.
Strong production engineering focus on logging, monitoring, resiliency and observability.
Excellent analytical and stakeholder management skills.

Responsibilities

Research and evaluate emerging AI technologies, foundation models, AI agents, orchestration frameworks, and cloud platforms.
Design end-to-end Azure-based solution architectures aligned with enterprise standards.
Build and validate AI Proof of Concepts (POCs) and transition successful solutions into production.
Design cloud-native applications, APIs, integrations, automation workflows, and data platforms.
Integrate GenAI solutions with existing applications, APIs, and enterprise data pipelines.
Ensure production readiness through robust error handling, logging, monitoring, resiliency, and observability.
Develop architecture documentation, technical designs, standards, and implementation roadmaps.
Conduct architecture reviews and ensure compliance with security, governance, and enterprise best practices.
Collaborate with cross-functional teams throughout the SDLC.
Mentor engineering teams on Azure, AI architecture, and modern software engineering practices.
Participate in Agile ceremonies, code reviews, and technical design discussions.