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Lead large-scale client projects focusing on Azure solutions, mentoring teams, and ensuring successful delivery through technical leadership and design solutions.

This role involves leading Azure Cloud solutions, designing landing zones, automating infrastructure, and enforcing security practices while collaborating with clients and teams.

The Principal Consultant, Cloud Engineer will lead Azure projects, ensuring clients receive tailored cloud solutions, and manage project risks and requirements effectively.

The Sales Operations Analyst will support the sales team by ensuring quality and accuracy in the sales process, guiding documentation, and improving efficiency.

The Principal Architect for Azure Solutions leads complex projects, focusing on solution architecture and delivery while mentoring team members and collaborating with stakeholders.

The Azure Principal Software Engineer will lead client engagements, manage large-scale technical projects, and provide expertise on Azure solutions, focusing on both clients and project teams.

Lead the agent and supervisor product experience for a B2B SaaS contact-center platform: own Agent UI, Control UI, and Active Listening UX. Define information hierarchy, latency budgets, RBAC and accessibility; partner with design and engineering, write one-page specs, run customer pilots, and measure success via AHT, adoption, CSAT, and suggestion acceptance.

Own the platform behind AI CX products: AI services (APIs, eval, guardrails, latency, cost), Desktop Intercept (capture, OS integration, PII redaction), and integrations (CCaaS, CRM, telephony, data warehouses). Prioritize by revenue impact, set latency/cost budgets, define metrics and acceptance criteria, drive reliability/privacy as features, and produce crisp one-page specs to ship to enterprise customers.

Design, build, and scale production multi-agent systems using Google ADK. Architect deterministic graph workflows, integrate tools and enterprise datastores, evaluate/debug agent trajectories, and deploy high-availability agents to Agent Engine via GCP (Cloud Run/Vertex AI). Collaborate with product and research teams to integrate Gemini models into agentic frameworks.

Design, build, and deploy production-grade multi-agent systems using Google ADK. Architect deterministic graph-based workflows, integrate agent skills with enterprise APIs and datastores, and deploy agents to Agent Engine on GCP (Cloud Run/Vertex AI). Evaluate and debug agent execution, mitigate hallucinations, and collaborate with product and research teams to optimize Gemini model integration.