Jobs at Caylent

Administer commercial and technology contracts, including MSAs, SOWs, NDAs, DPAs, and amendments. Manage intake, drafting, review, routing, signatures, records, obligations, and key dates. Support privacy and compliance questionnaires, use AI tools for contract workflows, coordinate priorities across Sales, Finance, and Delivery, track turnaround targets, and recommend process improvements.

Administers commercial and technology contracts, including MSAs, SOWs, NDAs, DPAs, and amendments. Manages intake, drafting, review, approvals, signatures, records, obligations, and key dates. Supports privacy and compliance questionnaires, uses AI tools for contract workflows, coordinates priorities across Sales, Finance, and Delivery, tracks turnaround targets, and recommends process improvements.

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.

Build and deploy production AI systems, cloud-native applications, workflow automations, and LLM-enabled products within client environments. Own assigned workstreams, contribute to discovery and architecture, translate ambiguous problems into deliverables, manage risks, and transfer sustainable solutions to clients. Collaborate with technical and business stakeholders, rapidly prototype solutions, and contribute reusable patterns to the AI services practice.

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.

Own client accounts from discovery through close, independently leading stakeholder interviews, architecture, technical delivery, scope management, and expansion opportunities. Build production-grade AI systems, cloud-native applications, backend platforms, or business automations, while ensuring solutions are documented, maintainable, and transferable. Senior engineers communicate effectively with technical teams and executive stakeholders, make autonomous decisions, manage delivery quality, and contribute reusable practices to the AI services organization.

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.

Leads AI strategy and architecture engagements from discovery through executive handoff. Designs AI operating models, maturity assessments, adoption roadmaps, outcome maps, and ROI frameworks. Facilitates stakeholder workshops, presents recommendations to executives, directs Forward Deployed Engineer implementation using Claude Code and AI workflows, manages client deliverables, and identifies expansion opportunities. The role combines technical consulting, executive communication, professional services delivery, and account growth, with travel of up to 50%.

Build and deploy production-grade AI applications, automations, and cloud-native systems within client environments. Own assigned workstreams, contribute to discovery and architecture sessions, translate ambiguous problems into deliverables, surface risks, and transfer durable solutions to clients. The role involves collaboration with engineers and business stakeholders, rapid prototyping, documentation, reusable practice artifacts, and potential progression toward independent account ownership.

Designs and maintains scalable Playwright-based web automation frameworks for API and UI testing. Develops reusable test components, integrates automated tests with CI/CD pipelines, manages test data and environments, supports parallel execution and flaky-test handling, analyzes failures, and documents testing standards. Collaborates with developers, QA, and product teams to improve quality across cloud-native projects.

Design, build, and maintain scalable Playwright-based automation frameworks for web UI and API testing. Develop reusable page objects, test strategies, assertions, reporting, and CI/CD integrations. Manage test data, environments, parallel execution, flaky tests, and isolation. Analyze failures, perform root-cause analysis, document standards, and collaborate with development, QA, and product teams to improve quality across cloud-native projects.

Design, develop, and maintain scalable Playwright-based web automation frameworks for API and UI testing. Build reusable page objects, integrate REST and GraphQL testing, connect automated suites to CI/CD pipelines, manage test data and environments, support parallel execution and flaky-test handling, analyze failures, and document testing standards. Collaborate with engineering, QA, and product teams to improve quality and automation practices across cloud-native projects.

Lead large-scale enterprise cloud transformation projects involving cloud adoption, AI strategy, migrations, and modernization. Manage client stakeholders, roadmaps, budgets, resources, risks, quality, vendors, and cross-functional technical teams. Provide executive reporting, oversee steering committees and business reviews, support account growth, and mentor project teams. The role requires enterprise consulting experience, Agile transformation leadership, financial management, and oversight of complex multi-year engagements.

Leads large-scale enterprise cloud transformation projects involving cloud adoption, AI strategy, migrations, and modernization. Responsibilities include strategic planning, roadmap development, stakeholder and executive engagement, cross-functional team leadership, risk and issue management, budgeting, quality assurance, reporting, vendor coordination, and account oversight. The role also supports Agile transformations, steering committees, business reviews, continuous improvement, and team mentorship while managing complex, multi-year engagements.

Lead large-scale enterprise cloud transformation projects involving cloud adoption, AI strategy, migrations, and modernization. Manage client stakeholders, roadmaps, budgets, resources, risks, vendors, quality, reporting, and cross-functional technical teams. Oversee complex multi-workstream engagements, support account growth, lead steering committees and business reviews, and mentor project teams. The role is fully remote and may require up to 25% travel.

Owns end-to-end operational workflows for AWS and Anthropic funding programs, including documentation, funding requests, invoice preparation, quality assurance, compliance, approvals, deadline tracking, and stakeholder communication. Coordinates with AWS partner managers, account executives, delivery teams, and internal stakeholders to resolve issues and execute funding successfully. Maintains records and trackers, communicates program changes, and uses systems, reporting tools, and automation to improve operational efficiency.

Owns multi-entity revenue forecasting across signed engagements, staffing plans, billing schedules, and Salesforce pipeline. Partners with Sales, Delivery, Resource Management, and Accounting leaders to explain variances, challenge assumptions, and guide decisions. Maintains forecasting systems, dashboards, controls, and reporting automation across Salesforce, PSA or time-tracking systems, and ERP platforms. Supports deal structuring, acquired-entity integration, audit controls, and executive-level financial planning.

Owns end-to-end operations for AWS and Anthropic funding programs, including documentation, funding requests, invoice preparation, quality checks, approvals, compliance, and deadline tracking. Coordinates with internal teams, account executives, AWS Partner Development Managers, and Anthropic stakeholders to resolve issues and communicate program updates. Maintains records and operational trackers, monitors evolving requirements, and improves efficiency through internal systems, reporting tools, and automation.

Designs and executes comprehensive QA strategies for Amazon Connect and contact center platforms, including IVR, routing, AI agents, migrations, web applications, APIs, and serverless AWS backends. Builds manual and automated test suites, validates production readiness and monitoring, supports incident triage, conducts UAT, tracks quality metrics, and mentors junior engineers. Partners with engineering and customer stakeholders to improve quality and deliver reliable contact center implementations.

Design and implement enterprise contact center transformations using Amazon Connect, generative AI (Bedrock/Claude), serverless backends, and full-stack React tooling. Build contact flows, AI agents, CDK infrastructure, observability, CI/CD and migration solutions; collaborate with customers, mentor engineers, and ensure production reliability, security, and accessibility.