DESIGNATION

FIRST_NAME

LAST_NAME

PHONE

EMAIL

WORK_EXPERIENCE

OTHER_LINKS

FACEBOOK_URL

TWITTER_URL

GITHUB_URL

LINKEDIN_URL

EDUCATION

RESUME

PHOTO

NOTICE_PERIOD

PREFERRED_LOCATION

ONLINE_PORTFOLIO

ADDRESS

TOTAL_WORK_EXPERIENCE

GENDER

Papigen is a world-class technology services business that incorporates industry insights and experience to deliver the digital solutions. As a Global IT Services and Solutions Company, Papigen can assist in bringing Technology Transformation and Modernization across Business Functions and Enterprises. Improving existing technology processes and platforms, Enterprise Digital Integration and Enablement, User Engagement through better Visualization and User Interface, Enterprise Mobility, Extensive Capability in Dynamic Technology areas such as Big Data, Java, React, MEAN/MERN, Cloud, DevOps and much more. 

We are fast growing company looking to deliver the best quality possible and achieve clients need by offering a unique mix of software products, consulting services, data science capabilities, and technology expertise. 

We work with our customers on Time and Material Engagements, Staff Augmentation, as well as SoW led Managed Services Models.

To learn more, visit www.papigen.com.

Papigen

Role Overview
We are seeking an experienced Gen AI Architect to design, evaluate, and implement enterprise-scale AI and cloud solutions. The ideal candidate will drive AI proof-of-concepts (POCs), define scalable Azure architectures, and guide the transition of innovative solutions into production. You will work closely with business stakeholders, architects, developers, security teams, and product owners to deliver secure, scalable, and cloud-native solutions.
Key Responsibilities
<ul>
<li>Research and evaluate emerging AI technologies, foundation models, AI agents, orchestration frameworks, and cloud platforms.</li>
<li>Design end-to-end Azure-based solution architectures aligned with enterprise standards.</li>
<li>Build and validate AI Proof of Concepts (POCs) and transition successful solutions into production.</li>
<li>Design cloud-native applications, APIs, integrations, automation workflows, and data platforms.</li>
<li>Integrate GenAI solutions with existing applications, APIs, and enterprise data pipelines.</li>
<li>Ensure production readiness through robust error handling, logging, monitoring, resiliency, and observability.</li>
<li>Develop architecture documentation, technical designs, standards, and implementation roadmaps.</li>
<li>Conduct architecture reviews and ensure compliance with security, governance, and enterprise best practices.</li>
<li>Collaborate with cross-functional teams throughout the Software Development Lifecycle (SDLC).</li>
<li>Mentor engineering teams on Azure, AI architecture, and modern software engineering practices.</li>
<li>Participate in Agile ceremonies, code reviews, and technical design discussions.</li>
</ul>
Required Skills
<ul>
<li>Bachelor's or Master's degree in Computer Science, Information Technology, or related field.</li>
<li>10+ years of software engineering and solution architecture experience.</li>
<li>5+ years of hands-on experience designing enterprise solutions on Microsoft Azure.</li>
<li>Strong experience with Azure services such as Azure OpenAI, Azure Functions, API Management, Azure Storage, Azure SQL, AKS, Azure AI Search, and Azure DevOps.</li>
<li>Experience evaluating emerging AI technologies and delivering AI Proof of Concepts (POCs).</li>
<li>Hands-on experience implementing Generative AI, LLMs, AI Agents, RAG, or AI orchestration frameworks.</li>
<li>Strong understanding of cloud-native architecture, microservices, REST APIs, and integration patterns.</li>
<li>Experience developing APIs using FastAPI or similar frameworks.</li>
<li>Experience with CI/CD pipelines, Git, Azure DevOps, or GitHub Actions.</li>
<li>Strong understanding of production engineering concepts including logging, monitoring, resiliency, fault tolerance, retry mechanisms, and observability.</li>
<li>Excellent analytical, problem-solving, communication, and stakeholder management skills.</li>
<li>Experience working in Agile/Scrum environments and leading technical discussions.</li>
</ul>
Preferred Skills
<ul>
<li>Experience with AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen.</li>
<li>Knowledge of container platforms such as Docker and Azure Kubernetes Service (AKS).</li>
<li>Experience with enterprise integration patterns and API management.</li>
<li>Microsoft Azure certifications such as AZ-305 (Azure Solutions Architect Expert), AI-102 (Azure AI Engineer), AZ-204, or related certifications are preferred.</li>
</ul>

numeric

single_text

Gen AI Architect