Solutions Architect - AI & Automation

The ideal candidate will have experience with Generative AI, conversational AI, agentic workflows, voice or messaging-based AI, APIs, cloud platforms, and business-process automation.

A major focus of this role will be developing intelligent customer-engagement and front-office solutions for businesses such as professional-service firms, healthcare organizations, local service providers, and other commercial clients.

These solutions may include AI assistants that answer customer questions, handle inbound calls or digital conversations, collect information, access business systems, check availability, schedule appointments, update records, send confirmations, route requests, and escalate conversations to human staff when necessary.

Key Responsibilities

• Design and implement end-to-end Generative AI, conversational AI, and agentic AI solutions for commercial customers.
• Build intelligent AI assistants capable of supporting voice, SMS/text, web chat, and other customer communication channels.
• Develop workflows that allow AI agents to securely retrieve information and take actions within business systems.
• Integrate AI solutions with CRM, ERP, scheduling, calendar, customer-service, payment, intake, and other third-party platforms.
• Create integrations using REST APIs, webhooks, SDKs, function calling, tool calling, and event-driven workflows.
• Build AI workflows that can perform tasks such as:
• Customer intake and information collection
• Account or customer lookup
• Appointment availability checks
• Appointment scheduling and rescheduling
• Confirmation and follow-up messaging
• FAQ and knowledge-base responses
• Lead qualification
• CRM updates
• Escalation to human staff
• Design and implement RAG, knowledge-base, and enterprise search solutions where appropriate.
• Develop multi-step agentic workflows with appropriate validation, guardrails, human approval, and fallback logic.
• Work with cloud platforms such as AWS, Azure, and/or GCP to deploy secure and scalable AI applications.
• Collaborate with clients and internal teams to understand workflows, identify automation opportunities, and recommend appropriate technical solutions.
• Build prototypes and proofs of concept and transition successful solutions into production.
• Implement monitoring, logging, security, access controls, evaluation, and governance for production AI systems.
• Document solution architecture, integrations, workflows, deployment requirements, and operational procedures.
• Stay current with emerging AI platforms, agent frameworks, voice technologies, automation tools, and integration patterns.

• Strong hands-on experience building and deploying AI/ML, Generative AI, conversational AI, or agentic AI applications.
• Experience developing AI applications using technologies such as LLMs, RAG, embeddings, vector databases, tool/function calling, or agent orchestration.
• Strong programming experience, preferably with Python and/or JavaScript/TypeScript.
• Experience building and consuming REST APIs and integrating third-party systems.
• Experience with cloud services in AWS, Azure, or GCP.
• Understanding of authentication, authorization, API security, secrets management, and secure data handling.
• Experience building production-ready backend services and automation workflows.
• Ability to translate business processes into technical architecture and implementation plans.
• Strong troubleshooting, communication, and documentation skills.

Preferred Qualifications

• Experience building AI phone agents, AI receptionists, contact-center automation, or voice-enabled applications.
• Experience with speech-to-text and text-to-speech technologies.
• Experience implementing SMS/text, chat, email, or omnichannel customer workflows.
• Experience integrating AI systems with calendars or scheduling platforms.
• Experience integrating AI with CRM, ERP, customer-service, practice-management, or other business platforms.
• Experience with platforms or technologies similar to Twilio, Vapi, Retell AI, Goodcall, AI receptionist platforms, or comparable voice/messaging systems.
• Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, MCP, or other agentic orchestration technologies.
• Experience with AWS Bedrock, Azure OpenAI, OpenAI APIs, Anthropic Claude, Vertex AI, or comparable LLM services.
• Consulting or client-facing implementation experience.

1.01.0 out of 5 stars Remote $100,086.40 - $120,534.16 a year - Full-time