Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using AWS.
We are living in a software-defined world where technology is at the core of every business.
To thrive in this paradigm, organizations need to empower their people and processes through technology.
Caylent is uniquely positioned to fuel that engine of innovation by bringing ambitious ideas to life for our customers.

Caylent

Browse and apply for open jobs at Caylent.

engineer

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using AWS. As a premier AWS consulting partner, Caylent specializes in DevOps-as-a-Service, IaaS, DevOps, SaaS, and various cloud technologies including Amazon Web Services and Google Cloud Platform. The company focuses on empowering organizations through technology to thrive in a software-defined world and drive innovation.

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using AWS. We are living in a software-defined world where technology is at the core of every business. To thrive in this paradigm, organizations need to empower their people and processes through technology. Caylent is uniquely positioned to fuel that engine of innovation by bringing ambitious ideas to life for our customers.

• Own the full client relationship from discovery through close
• Make architecture and build decisions appropriate to client environments and constraints
• Run discovery, architecture reviews, and stakeholder interviews independently
• Translate ambiguous problems into scoped, deliverable work
• Identify and manage scope creep and surface risks early
• Identify and surface expansion opportunities
• Transfer lasting capability through documented, runnable, maintainable software or automations
• Contribute patterns, templates, and reusable components back to the practice after every engagement
• Scope, architect, build, and close production-grade AI engagements
• Run technical or operational AI delivery engagements, depending on specialization

Senior Forward Deployed Engineer

Senior Forward Deployed Engineer owning client accounts and delivering production AI solutions. Caylent helps organizations modernize technology and build intelligent products with AWS and Anthropic Claude.

full-stack-engineer

• Build AI-native self-service using Amazon Connect AI agents, Amazon Q in Connect, and Amazon Bedrock with multi-agent orchestration and human escalation paths
• Engineer production-scale prompts and tool-calling integrations, including profile lookups, case creation, external APIs, authentication, and guardrails
• Implement voice-AI barge-in, fallback, error recovery, multilingual NLU, and SSML-tuned interactions
• Optimize model selection, prompt caching, token budgets, inference cost, and latency
• Diagnose AI-agent performance using observability tooling, CloudWatch, logs, transcripts, traces, tool executions, and token usage
• Build Amazon Connect contact flows, Cases, Tasks, Contact Lens, routing, outbound campaigns, workforce-management integrations, analytics data lakes, and QuickSight dashboards
• Support migrations from Avaya, Genesys, Cisco, Oracle, and Salesforce to Amazon Connect
• Build Agent Workspace experiences, CRM integrations, and serverless event-driven backends
• Implement WCAG 2.1 AA accessibility and accessibility testing/documentation
• Author AWS CDK infrastructure, CI/CD pipelines, automated tests, monitoring, alerting, security, and compliance controls
• Participate in production incident triage and phased contact-center cutovers
• Work directly with customer engineering teams through integrations, technical sessions, demos, knowledge transfer, and mentoring
• Contribute to architecture decisions, code reviews, reusable practice assets, proof-of-concept demos, estimates, and SOW technical scope

Senior Engineer

Senior CXE Engineer building Amazon Connect, Bedrock, and serverless contact-center solutions for Caylent. Delivering AI agents, migrations, analytics, and customer-facing implementations.

frontend-engineer

• Own the architecture of modern, high-performance, real-time web applications built on AWS.
• Lead technical discovery and define frontend and edge architecture.
• Guide delivery teams through standups, sprint planning, retrospectives, and related activities.
• Author architecture decisions, solution designs, and diagrams.
• Present trade-offs and recommendations to technical and executive stakeholders.
• Stay hands-on in code, set frontend standards, conduct design and code reviews, and mentor Senior and Mid-level engineers.
• Evaluate emerging technologies, including AI-assisted development and AI-powered user experiences.
• Partner with Design, Backend Architects, Cloud/DevOps engineers, and Project Management.
• Ensure frontend architecture aligns with data models, API contracts, security requirements, and infrastructure.
• Deliver client experiences, communicate project status and risk, and provide solutions aligned with business outcomes.

Frontend Architect

Frontend Architect owning React, Next.js, and AWS architecture for Caylent, an AI-first cloud services company. Designing secure, real-time applications and guiding client delivery teams.

architect

• Lead the architecture and technical delivery of Amazon Connect and AI agent solutions end to end
• Build AI-native self-service using Amazon Connect AI agents, Amazon Q in Connect, and Amazon Bedrock
• Engineer prompts and tool-calling integrations, authentication flows, and hallucination guardrails
• Implement voice AI barge-in, fallback, and error-recovery behavior; validate with trace analysis
• Optimize inference cost and latency through model selection, prompt caching, and token budgeting
• Diagnose AI agent performance using observability tooling, CloudWatch, contact flow logs, transcripts, spans, tool executions, and token usage
• Build multilingual, intent-based NLU and SSML-tuned voice experiences
• Build Amazon Connect contact flows, Cases, Tasks, Contact Lens, routing, outbound campaigns, analytics data lakes, and QuickSight dashboards
• Support migrations from Avaya, Genesys, Connect, and NICE platforms
• Build Agent Workspace experiences, CRM integrations, and serverless event-driven backends
• Author infrastructure as code and maintain CI/CD pipelines and automated test suites
• Implement phased production rollouts, deployment runbooks, monitoring, alerting, security, and compliance controls
• Work with customer engineering teams, run technical sessions, demonstrate work, and lead knowledge transfer
• Own architecture decisions, perform code reviews, mentor engineers, and contribute reusable practice assets
• Support pre-sales through proof-of-concept demos and technical estimates
• Lead a 5–10 person team and provide technical direction
• Own delivery planning, risk management, technical escalations, and delivery quality

Principal Architect

Principal Architect leading Amazon Connect and AI contact-center solutions for Caylent, an AWS and Anthropic cloud services company. Driving architecture, delivery, and technical leadership for enterprise customers.

ai-engineer

• Own AI engagements end-to-end as the strategic lead, from discovery through executive handoff, partnered with an FDE who drives implementation
• Run structured discovery across engineering, product, and business stakeholders
• Design AI operating models defining how organizations adopt, govern, and scale AI across the business
• Define AI outcome maps tying initiatives to measurable business results
• Lead AI maturity assessments and architect adoption roadmaps aligned to Anthropic’s platform capabilities
• Facilitate executive workshops and enablement sessions
• Deliver executive presentations covering current-state findings, ROI projections, and strategic recommendations
• Direct FDE work on Claude Code tooling, prompt architecture, and workflow automation
• Identify expansion opportunities across lines of business
• Shape follow-on scope throughout engagements
• Build executive relationships positioning Caylent as a long-term AI strategy partner
• Attend onsite for the final Catalyst block, including readout, workshop, and executive presentation
• Contribute reusable strategy frameworks, delivery artifacts, and methodology improvements
• Lead AI strategy engagements spanning multiple teams, platforms, and business functions
• Collaborate with FDEs to refine the architect-engineer delivery model and handoff patterns

Forward Deployed AI Lead

Forward Deployed AI Lead shaping Anthropic AI strategies and operating models for Caylent cloud-services clients. Directing FDE implementation, executive workshops, adoption roadmaps, and account expansion.

product-manager

• Own the Product workstream inside client engagements
• Lead product workstreams end-to-end on enterprise transformation programs
• Assess current client product-team operations and design future-state PDLCs
• Coach product managers in becoming strategic orchestrators of AI-assisted development
• Run discovery with client stakeholders and shape delivery backlogs into signed Sprint Charters
• Write specifications driving prototype and MVP development
• Design PM training curricula and lead enablement sessions
• Surface client expansion opportunities during delivery
• Define and refine product-facing agents for idea consolidation, specification generation, PM workflow automation, and agent prioritization
• Provide field feedback on agent design, prompt configuration, and scoping frameworks
• Co-own product specification artifacts for Caylent’s intellectual property
• Turn field PDLC patterns into methodology, scoping-framework, and future-state-template improvements
• Support pre-sales conversations involving product definition, sprint structure, or PDLC maturity assessment
• Embed in client product and engineering organizations from kickoff through handoff

Forward Deployed Product Manager

Forward Deployed Product Manager leading AI-native product workstreams for Caylent, an AWS and Anthropic cloud services partner. Designing PDLCs, coaching client PMs, and shaping prototypes.

engineering-manager

• Hire and build the ML team; set technical standards, oversee technical assessments, and make hiring decisions.
• Develop team members through structured 1:1s, feedback, and career growth investment.
• Manage performance, partner with HRBPs and the Director of AI/ML, and advocate for the team.
• Monitor staffing and ensure team members are placed in appropriately challenging engagements.
• Lead end-to-end ML assessments of customer environments and produce executive recommendations.
• Serve as senior technical authority, shape architecture, and ensure technical quality on engagements.
• Advise customers on sustainable MLOps, LLMOps, production monitoring, and ML operations standards.
• Drive pre-sales with sales and solutions teams during scoping and proposal phases.
• Lead engagement architecture and solution design from kickoff through delivery.
• Own architect-level client outcomes or provide senior technical oversight across the team.
• Mentor engineers and architects, contribute to technical interviews, and build reference architectures and reusable ML accelerators.
• Report to the Director of AI/ML.

AI/ML Engineering Manager

AI/ML Engineering Manager leading ML teams and complex customer engagements at Caylent, an AI-first AWS cloud services company. Shaping production ML architecture, MLOps standards, and pre-sales strategy.

Caylent

About the company

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7 jobs found

Senior Forward Deployed Engineer

Caylent

Senior Engineer

Caylent

Frontend Architect

Caylent

Principal Architect

Caylent

Forward Deployed AI Lead

Caylent

Forward Deployed Product Manager

Caylent

AI/ML Engineering Manager

Caylent