🇺🇸 Azure Generative AI Architect Full time

We are seeking a skilled Generative AI (GenAI) Architect to design and implement custom AI solutions on the Azure platform. This role demands expertise in Azure Architecture, Azure AI services, Python, and Prompt Engineering. Experience with open-source frameworks like LangChain, foundational language models (LLMs), and Azure Cognitive Services is highly desirable.

- Lead the design and deployment of scalable AI solutions using Azure AI services and Cognitive Services.
- Develop and optimize prompts for LLMs to enhance model performance.
- Write and integrate Python code for AI models, data processing, and automation.
- Implement open-source frameworks and advanced AI techniques such as Retrieval-Augmented Generation (RAG).
- Collaborate with multi-functional teams to deliver innovative AI-driven solutions.

- Demonstrated ability in Building and Designing Cloud Solutions
- Azure Architecture and design patterns, Domain driven architecture, Microservices architecture.
- Must have Experience in Design patterns, proven principles, coding standards, OOPS concepts.
- Strong background in Azure Cloud Architecture and AI capabilities.
- Experience with LLMs, open-source frameworks, and Cognitive Services.
- Solid understanding of building scalable web applications using Web API, RESTful API design
- Strong understanding of Cloud computing concepts and technologies, such as IaaS/SaaS/PaaS, load balancing, Storage, etc.
- Azure native application development using API Management, integration services, Web Computes, Storages, RDBMS and No SQL Databases, Monitoring and Azure Entra ID
- Experience with object–oriented languages, including .Net, .Net Core, and C#
- Experience with using development tools, like Azure DevOps, JIRA, GitHub, and Jenkins.
- Strong problem-solving and critical-thinking abilities.
- Excellent communication and collaboration skills.

Preferred Qualifications:
- Experience with additional cloud platforms (AWS, Google Cloud) would be preferred
- Experience or understanding on Fine tuning of LLM Models
- Familiarity with containerization and deployment of solutions to Azure Environment.
- Relevant Azure Cloud certifications (AZ - 303, AZ – 304), GenAI course/certifications.

- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
- Financial well-being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Paid parental leave
- Family building benefits like adoption assistance, surrogacy, and cryopreservation
- Social well-being benefits like subsidized back-up child/elder care and tutoring
- Mentoring, coaching and learning programs
- Employee Resource Groups
- Disaster Relief