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The AI/ML Engineering Manager leads ML engineering teams, manages client engagements, shapes architecture, ensures technical quality, and drives business growth through ML operations.

As a Principal Cloud Architect, you will lead cloud solution design, mentor teams, collaborate with clients, and drive technical innovation for AWS services.

Own and manage client relationships, make architectural decisions, run discovery and stakeholder interviews, deliver software or automations, and contribute intellectual property back to the practice.

The Senior Forward Deployed Engineer manages client relationships, architecting, building, and closing deals while ensuring autonomous delivery of AI solutions. Responsibilities include discovery, architecture reviews, and capability transfer to clients, requiring significant engineering and client-facing experience.

Own full client accounts end-to-end: discovery, architecture, scoping, delivery, and close. Design and implement production-grade AI/LLM solutions or workforce AI adoption programs, manage scope and risks, deliver documented, maintainable software/automations, and contribute reusable patterns and IP back to the practice.

Lead discovery workshops and mine recorded voice/chat interactions to document and map contact center processes. Translate findings into functional requirements, user stories, acceptance criteria, AI agent scripts, process maps, and prioritized recommendations. Own BRDs, traceability matrices, UAT facilitation, stakeholder liaison duties, and mentor junior BAs while contributing reusable discovery assets.

Senior QA Engineer responsible for designing and executing test strategies for Amazon Connect contact centers, building manual and automated Playwright/Cypress/Selenium suites across UI, API and serverless backends, validating migrations and production readiness, running UAT, incident triage, and mentoring junior QA engineers.

The Engineering Manager will lead a team of cloud engineers and architects, manage technical projects, oversee client engagements, and ensure quality delivery of data engineering services.

Responsible for managing a team of cloud engineers, overseeing technical tasks, engaging with clients, mentoring team members, and ensuring technical accountability on projects.

Lead architecture and delivery of AI-native contact center solutions using Amazon Connect and generative AI. Design AI agents, contact flows, serverless backends, analytics lakes, IaC, CI/CD, observability, and migration plans. Mentor engineers, drive technical decisions, manage risk, and support pre-sales and customer enablement.