Design and build highly scalable, resilient, and secure microservices and APIs while integrating business databases with advanced AI engines. Optimize backend service performance for real-time AI model hosting and collaborate with AI engineers to deploy solutions within Docker environments.
Architect and develop production-grade autonomous agents and orchestration frameworks using tools like LangChain and AutoGen. Lead technical implementation across multiple squads to ensure standardized, scalable, and high-performance AI solutions.
Collaborate with stakeholders to define high-impact AI use cases and translate complex business needs into functional requirements and user stories. Facilitate workshops and manage the interface between business and technical teams to ensure successful solution delivery and process optimization.
Design, deploy, and maintain secure, automated CI/CD pipelines and infrastructure as code for AI-driven enterprise applications. Collaborate with security teams to implement automated vulnerability scanning, compliance guardrails, and robust monitoring systems.
Design intuitive, user-centered journeys for AI-powered enterprise products while focusing on human-AI collaboration workflows. Conduct user research, usability testing, and collaborate with cross-functional teams to validate design solutions and maintain consistent design patterns.
Design and build responsive, scalable web applications for AI-powered enterprise platforms while ensuring high-quality frontend implementations. Integrate frontend systems with RESTful APIs, GraphQL, and real-time AI model responses while maintaining performance and accessibility standards.
Design and execute comprehensive automated testing strategies for APIs, frontend, and backend services while integrating them into CI/CD pipelines. Collaborate with developers to validate AI/LLM-driven systems and ensure high-quality performance across enterprise platforms.
Design, develop, and maintain backend services using Python and FastAPI while collaborating with cross-functional teams to deliver end-to-end solutions. Manage containerized deployments, CI/CD workflows, and ensure system scalability and performance in a customer-facing delivery role.
Design and build scalable, secure microservices and APIs while integrating business databases with advanced AI engines. Optimize backend service latency for real-time AI model hosting and collaborate with AI engineers to deploy solutions in Docker environments.
The Data Architect will assess and modernize complex financial data platforms by designing robust target architectures and improving data modeling. They will also provide technical leadership in implementing scalable solutions using Azure technologies and support advanced analytics and AI initiatives.
