conversational-ai jobs in San Diego

As a Technical Manager, you will lead the architecture, engineering, and delivery of AWS-based cloud contact center and Generative AI solutions. You'll design scalable solutions using Amazon Connect, Lex, Bedrock, Lambda, and other AWS services, incorporating AI patterns like RAG and agent/tool calling.…See more You'll translate client requirements into technical architectures and integration designs, partnering with stakeholders from design through implementation, testing, deployment, and production support. This role requires 8+ years in technology consulting or cloud architecture, including 4+ years deploying production AWS solutions and designing cloud contact center platforms with Generative AI capabilities.

Develop and deliver Contact Center as a Service (CCaaS) and Contact Center AI solutions for enterprise clients. Design AWS-based architectures using Amazon Connect, Lex, Bedrock, and other services, with hands-on configuration of NICE CXone, Five9, Genesys Cloud, and integrations to CRM and enterprise platforms.…See more Implement generative AI capabilities including RAG, conversational AI, and guardrails. Mentor junior team members, communicate technical concepts to stakeholders, and support delivery from architecture through production support.

A Technical Manager leading Google Gemini (GECX) implementations for enterprise customers, overseeing onshore and offshore delivery teams, managing client relationships with senior stakeholders, and driving business development. The role requires hands-on end-to-end delivery experience with GCP Gemini Enterprise for Customer Experience, including conversational agents (Dialogflow CX), Agent Assist, Quality AI, and contact center analytics platforms (BigQuery, Looker).…See more Responsibilities span project design, team building, best-practices advisory, quality assurance, proposal development, and staff mentoring across large-scale digital transformation engagements.

Lead ServiceNow AI implementation projects as an architect-manager, designing and deploying AI solutions (NOW Assist, Agentic, AI Control Tower) with hands-on expertise in prompt engineering, LLM orchestration, and RAG techniques. Configure Moveworks for automated ticket resolution and integrate multiple AI models within ServiceNow workflows.…See more Conduct client design sessions, manage project delivery across waterfall and agile models, and lead technical teams while supporting pre-sales efforts.

Senior Consultant leading Moveworks AI Assistant implementation projects for enterprise HR and IT service delivery. Responsibilities include establishing user journeys, configuring AI agents and integrations, managing ServiceNow/Workday implementations, and collaborating with stakeholders across discovery, design, build, test, and deployment.…See more Requires 4+ years of enterprise platform implementation (ServiceNow, Workday) and API/integration experience; preferred experience with conversational AI platforms and solution architecture.

The AI Learning Architect designs and implements generative AI applications for learning and development, using prompt engineering, retrieval-augmented generation, and low-code automation to personalize training content and remove manual steps. They structure learning data into modular frameworks, evaluate and integrate AI tools with existing learning platforms, set up analytics tracking via xAPI, and debug prompt configurations to keep solutions accurate and current.…See more The role requires 3+ years in instructional design or educational technology with hands-on AI integration, proficiency in modern generative AI models and low-code tools, knowledge of learning frameworks (ADDIE, SAM), and the ability to translate technical AI behavior into accessible user experiences. They embed responsible AI practices including data privacy, bias checks, and accessibility from the start, while documenting workflows and coaching teammates.

Senior Staff Inbound Product Manager responsible for owning the roadmap, vision, and requirements for conversational AI features within ServiceNow's AI platform. The role requires translating customer feedback into product improvements, guiding product strategy across multiple teams, and steering the development of AI features including disambiguation, clarification, document/multimodal experiences, slot filling, feedback intelligence, and fallback handling.…See more Success requires 12+ years of enterprise product management experience, deep knowledge of conversational AI, generative AI, and agentic systems, plus hands-on experience with AI evaluation, prompt engineering, retrieval systems, and knowledge bases. The person will create PRDs, define testing and quality requirements, support strategic customers through pilots and go-lives, and coordinate dependencies across engineering and design teams.

Staff Inbound Product Manager for ServiceNow University, responsible for defining and executing product strategy across AI-powered learning experiences. The role involves leading product discovery across personalization, conversational AI, recommendations, and search capabilities; partnering with Engineering, Architecture, and Design to deliver enterprise-grade features; and translating learner and business needs into technical requirements.…See more Requires 8+ years of product/technical product management experience with strong expertise in enterprise platforms, AI technologies (LLMs, agents, conversational systems), and complex system integration.

This role combines prompt engineering expertise with AI system governance and enterprise adoption strategy. The engineer will optimize LLM performance across platforms (OpenAI, Anthropic), design and configure AI agents and chatbots with knowledge grounding, and establish prompt governance frameworks and best practices.…See more Success requires 5+ years in AI/ML systems, 2+ years of hands-on prompt engineering, and demonstrated ability to evaluate AI performance, manage knowledge systems, and guide enterprise clients through AI tool adoption and deployment.

Senior Software Engineer at ServiceNow building enterprise-grade, AI-integrated conversational platforms and large-scale server-side systems. You'll design and implement highly interactive, performant applications; apply AI/ML concepts to enhance platform functionality; and write clean, scalable code following best practices in architecture, testing, and code review.…See more The role requires expertise in backend (Java, Spring, Hibernate, REST, SQL), frontend (JavaScript, Python), and machine learning/NLP systems including Large Language Models, with collaboration across product and engineering teams from design through delivery.

Lead machine learning strategy and development for AppFolio's Leasing products, owning the ML roadmap and autonomous leasing agent architecture. Build evaluation frameworks, model quality infrastructure, and establish ML standards across the Leasing Engineering team while ensuring production-grade reliability, SLOs, and observability.…See more Translate research into shipped features by evaluating fine-tuning approaches, RAG patterns, and agentic systems; operate with production discipline on a SaaS platform serving real customer workflows.

Senior Associate AI Engineer will develop GenAI/LLM applications and integrations using foundational models, build and test AI models and conversational agents, and configure AI solutions into enterprise applications on cloud platforms. The role requires assisting with data preparation for model training, documenting technical workflows, and staying current on emerging AI tools.…See more Requires minimum three years of professional or academic experience in AI/ML, data science, or software engineering, proficiency in Python or similar languages, and hands-on experience with a major cloud AI platform (Azure AI, AWS Bedrock, or Google Cloud Vertex AI).