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Senior AI Engineer
Valorem Reply
On-site
Chicago, IL, United States
Full-time
$140,000 -
$180,000
About Valorem Reply
Valorem Reply is an award-winning digital transformation firm focused on delivering data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace. Through the expertise of their people and power of Microsoft technologies, they provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Their innovative strategies and solutions securely and rapidly transform the way their clients do business.
About the Role
As a Senior AI Engineer, you will understand how AI is positioned to meet business objectives and then deliver projects for customers as part of a team. This is a hands-on role involving consulting, leading, coding, and delivering sophisticated AI solutions. Projects will span from workshops to comprehensive enterprise-level deployments.
Qualifications
Bachelor’s degree in computer science, artificial intelligence, data science, or a related field.
Proven client facing experience, translating complex requirements into actionable AI solutions that meet business objectives.
5 years of professional software engineering experience in Azure and Python.
3 years of experience with relational and nonrelational databases such as SQL Server, PostgreSQL, Cosmos DB, MongoDB, etc.
2 years demonstratable experience with Azure AI solution design and production delivery,highlighting proficiency in natural language processing (NLP), retrieval augmented generation (RAG), and Azure AI Services (OpenAI, Speech, Vision, etc.) using tools like Azure AI Foundry, prompt flow, and Copilot Studio.
Production experience with Azure AI platform, and the implementation of enterprise solutions.
Experience with open-source models, fine-tuning, advanced prompt engineering, responsible AI practices, and managing an organization’s models.
Preferred Qualifications
Professional software engineering experience in C#.net.
Full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
Developing cloud software services and an understanding of design for scalability, performance, and reliability in Azure.
Ability to support go-to-market content with technical support and present AI related research to customers and at events.
Experience with DevOps tools and processes such as Azure DevOps, GitHub, Docker and Kubernetes.
Proven client facing experience, translating complex requirements into actionable AI solutions that meet business objectives.
5 years of professional software engineering experience in Azure and Python.
3 years of experience with relational and nonrelational databases such as SQL Server, PostgreSQL, Cosmos DB, MongoDB, etc.
2 years demonstratable experience with Azure AI solution design and production delivery,highlighting proficiency in natural language processing (NLP), retrieval augmented generation (RAG), and Azure AI Services (OpenAI, Speech, Vision, etc.) using tools like Azure AI Foundry, prompt flow, and Copilot Studio.
Production experience with Azure AI platform, and the implementation of enterprise solutions.
Experience with open-source models, fine-tuning, advanced prompt engineering, responsible AI practices, and managing an organization’s models.
Preferred Qualifications
Professional software engineering experience in C#.net.
Full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
Developing cloud software services and an understanding of design for scalability, performance, and reliability in Azure.
Ability to support go-to-market content with technical support and present AI related research to customers and at events.
Experience with DevOps tools and processes such as Azure DevOps, GitHub, Docker and Kubernetes.
Responsibilities
Implementing AI solutions through people, processes, and technology.
Facilitate customer education and ideation workshops focused on developing use cases and implementing modern AI/ML solutions.
Consulting with stakeholders to identify opportunities for AI integration, advising on best practices, and tailoring AI strategies to meet business objectives.
Defining project requirements clearly, designing robust solution architectures, and ensuring alignment with business goals and technical capabilities.
Leading the development and implementation of AI-driven solutions, managing the entire AI project lifecycle, including data collection, model training, deployment, and monitoring.
Demonstrated expertise in Microsoft Azure AI services and proficiency in leveraging OpenAI technologies is essential.
Facilitating cross-functional collaboration, working closely with technical and non-technical teams to deliver outstanding service to customers and ensure the successful integration of AI solutions into business processes.
Staying updated on the latest advancements in AI and Generative AI, and advising teams on integrating cutting-edge techniques, to enhance project outcomes and drive innovation.
Facilitate customer education and ideation workshops focused on developing use cases and implementing modern AI/ML solutions.
Consulting with stakeholders to identify opportunities for AI integration, advising on best practices, and tailoring AI strategies to meet business objectives.
Defining project requirements clearly, designing robust solution architectures, and ensuring alignment with business goals and technical capabilities.
Leading the development and implementation of AI-driven solutions, managing the entire AI project lifecycle, including data collection, model training, deployment, and monitoring.
Demonstrated expertise in Microsoft Azure AI services and proficiency in leveraging OpenAI technologies is essential.
Facilitating cross-functional collaboration, working closely with technical and non-technical teams to deliver outstanding service to customers and ensure the successful integration of AI solutions into business processes.
Staying updated on the latest advancements in AI and Generative AI, and advising teams on integrating cutting-edge techniques, to enhance project outcomes and drive innovation.
