AI Architect

Hi,
 

Urgent position of Gen Al Solution Architect + Data Science
 

Location: Remote

JD:

Drive end-to-end delivery of deta engineering end AIML products withina Microsoft-centricecosystem, ensuring all solutions align with enterprise business processes and strategic goals.Own the full product lifecycle in Jira and Confluence, from initial business requirernent gatheringand documentation (BRD) to creating refined user stories and managing high-valocity sprints.Translate complex business needs into scalable Azure-native architectures, bridging the gapbetween stakeholder requirements and technical application design.

Serve asa Technical Product Owner for Al/ML initiatives, overseeing the transition fromexperimental models to production-ready services using Azure Al Foundry and Azure MachineLeerning.

Maintaina deep understanding of modern application hosting trends, specifically leveraging AzureKubernetes Service (AKS) to manage containerized Al workloads and microservices.

Define and monitor success metrics and project-specific success matrices to ensure everydelivery meets performance benchmarks and functional requirements.

Conduct comprehensive ROI analysis and value mapping for each project, ensuring technicalinvestments translate into measurable business outcomes and operational savings.
 

Directly oversee project budgets and strategic resourcing, identifying the specific talent and Azureconsumption models required for successful delivery.
 

Lead the change management process for internal and external stakeholders, ensuring high useradaptability and seamless integration of new Al products into existing workflows.

Manage rigorous compliance and governance protocols, navigating Microsoft's securityframeworks and ensuring all data products meet industry-standard compliance outputs.

Stay ahead of latest trends in the Microsoft stack, including advancements in Azure Arc for hybriddeployments and GenAl agent services to drive product innovation.

Act as the primary point of contact for project-based activities, maintaining an overall perspectiveon delivery health, resource allocation, and risk mitigation across the portfolio.

Utilize internal accalerators and modular product delivery methods to reduce time-to-market forcomplex data pipelines and Al-driven applicaticons.

Facilitate high-level strategic discussions with leacership while maintaining the ability to deep-dive into technical blockers within the development team.

Ensure long-term product sustainability by overseeing post-delivery support, documentation inConfluence, and continuous improvenment oycles based on suocess metrics.
 

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