Design, implement, and deploy multi-step AI agents and orchestration workflows into production environments. Collaborate with clients to capture requirements and build scalable, reliable AI systems using modern cloud and orchestration tools.
The Business Analyst will support the design and delivery of Lead-to-Cash engagements, including CPQ, pricing strategy, and deal lifecycle management. They will also partner with stakeholders to translate business requirements into functional specifications and drive AI-driven transformation initiatives.
You will design, deploy, and govern modern enterprise-scale data architectures that integrate with AI-native systems. Additionally, you will lead data modeling efforts, mentor technical teams, and ensure data integrity and security across the organization.
You will own the end-to-end development of AI-native systems, from data foundation design to production deployment. This involves building full-stack applications and orchestrating complex AI workflows to solve real-world client problems.
You will own the end-to-end development of AI-native systems, from data foundation design to production deployment. This involves building full-stack applications and orchestrating complex AI workflows to solve real-world client problems.
Lead strategic AI engagements for enterprise clients by defining AI roadmaps and designing enterprise-grade AI architectures. Partner with engineering teams to guide implementation while shaping the company's AI offerings and accelerators.
The role involves designing, implementing, and deploying multi-step AI agents and orchestration workflows using Python and various AI tools like LangGraph and AWS Bedrock. Responsibilities also include integrating top models, connecting agents to real systems, and taking prototypes through full production deployment cycles.
