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Executive Conversational Ai Jobs in Riverside, CA

Speechify

Go-to-Market - Irvine, CA, USA

Irvine, CA · On-site

$150K - $200K/yr

Ideally 3-8 years of experience in a sales, account executive, or GTM role at a technical B2B ... Experience selling AI, voice, or conversational technology * Familiarity with telephony ...

Speechify

Go-to-Market - Irvine, CA, USA

Irvine, CA · On-site

$150K - $200K/yr

Ideally 3-8 years of experience in a sales, account executive, or GTM role at a technical B2B ... Experience selling AI, voice, or conversational technology * Familiarity with telephony ...

Speechify

Go-to-Market - Anaheim, CA, USA

Anaheim, CA · On-site

$150K - $200K/yr

Ideally 3-8 years of experience in a sales, account executive, or GTM role at a technical B2B ... Experience selling AI, voice, or conversational technology * Familiarity with telephony ...

Speechify

Go-to-Market - Anaheim, CA, USA

Anaheim, CA · On-site

$150K - $200K/yr

Ideally 3-8 years of experience in a sales, account executive, or GTM role at a technical B2B ... Experience selling AI, voice, or conversational technology * Familiarity with telephony ...

Cisco

Senior Director, Product Marketing

Irvine, CA

$284K - $390K/yr

We're a dynamic, fast-paced team at the forefront of the AI revolution, where success requires the ... Experience building executive-level thought leadership and differentiated category narratives.

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Executive Conversational Ai information

See Riverside, CA salary details

$27.6K

$97.6K

$192K

How much do executive conversational ai jobs pay per year?

As of Aug 30, 2026, the average yearly pay for executive conversational ai in Riverside, CA is $97,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $125,700.00 per year, depending on experience, location, and employer.

What is an executive conversational AI?

An Executive Conversational AI is an advanced artificial intelligence system designed to interact with users using natural language, often fulfilling executive or leadership-level tasks such as decision-making support, scheduling, strategic analysis, and communication management. These AIs can automate or assist with high-level business processes, acting as virtual executive assistants or advisors. They leverage natural language processing, machine learning, and sometimes integration with enterprise systems to provide tailored insights and facilitate complex workflows. Organizations implement Executive Conversational AIs to increase efficiency, reduce administrative burdens, and enhance decision-making.

How does an executive conversational AI collaborate with cross-functional teams to drive successful AI product deployments?

An Executive in Conversational AI frequently works alongside product managers, data scientists, engineers, UX designers, and business stakeholders to ensure that AI solutions align with company goals and user needs. They play a key role in setting the strategic direction, facilitating communication between technical and non-technical teams, and overcoming challenges related to data quality, model deployment, and user adoption. Regular cross-functional meetings and agile project management practices are common, allowing the executive to monitor progress, address roadblocks, and ensure that projects are delivered on time and within scope.

What are the key skills and qualifications needed to thrive as an executive conversational AI specialist?

To excel as an Executive Conversational AI specialist, you need a deep understanding of natural language processing (NLP), AI technologies, and business strategy, often supported by a degree in computer science or a related field. Familiarity with platforms like Dialogflow, Microsoft Bot Framework, and AI development tools, as well as relevant certifications, is crucial. Strong leadership, communication, and project management skills help bridge technical teams with business stakeholders and drive AI initiatives forward. These competencies ensure the development and deployment of effective conversational AI solutions that align with organizational goals and deliver measurable results.

What is the difference between Executive Conversational Ai vs Customer Service Manager?

AspectExecutive Conversational AiCustomer Service Manager
Required CredentialsTechnical certifications, AI/ML knowledge, relevant degreesBusiness, management, or customer service experience, often a bachelor's degree
Work EnvironmentTech-focused, development teams, AI labsCustomer service centers, management offices
Employer & Industry UsageTech companies, AI startups, enterprises implementing AI solutionsRetail, telecom, finance, and service industries
Search & Comparison IntentUnderstanding AI roles, technical skills, implementationCustomer service strategies, team management, operations

Executive Conversational Ai focuses on developing and managing AI-driven chatbots and voice assistants, requiring technical expertise. Customer Service Managers oversee customer support teams and strategies, emphasizing management skills. While both roles aim to improve customer interactions, they differ significantly in skills, environment, and industry application.

What job categories do people searching Executive Conversational Ai jobs in Riverside, CA look for?

The top searched job categories for Executive Conversational Ai jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Executive Conversational Ai jobs?

Cities near Riverside, CA with the most Executive Conversational Ai job openings:

Executive Conversational Ai jobs near you
Infographic showing various Executive Conversational Ai job openings in Riverside, CA as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $97,600 per year, or $46.9 per hour.

Title: Principal AI Engineer - Agentic AI | Contract to Hire | Irvine, CA (Hybrid) | AS

Irvine, CA • On-site

Central Business Solutions, Inc
See more jobs at Central Business Solutions, Incexternal

$180 - $240/hr

Other

Posted 15 days ago

Job description

Title: Principal AI Engineer - Agentic AI| Contract to Hire | Irvine, CA (Hybrid) | AS

Central Business Solutions, Inc(A Certified Minority Owned Organization)

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
  • 12+ years of software engineering experience.
  • 5+ years building AI/ML applications.
About the Role

We are seeking a Senior/Principal AI Engineer to design and build production-grade Agentic AI and Generative AI applications that enable Client's executives to interact with operational data through a conversational interface.

The ideal candidate will have strong experience building LLM-powered applications, AI agents, RAG solutions, tool-calling workflows, and data-grounded AI systems, with a strong focus on accuracy, trust, scalability, and production readiness.

Key Responsibilities
  • Design and develop Agentic AI / LLM-based applications for enterprise use cases.
  • Build conversational AI experiences that allow users to query complex operational data using natural language.
  • Develop agent workflows using frameworks such as LangGraph and LangChain.
  • Design single-agent and multi-agent architectures based on business and technical requirements.
  • Build RAG and retrieval workflows using vector search, embeddings, and PostgreSQL/pgVector.
  • Develop controlled tool-calling and SQL-based data retrieval workflows.
  • Implement mechanisms to prevent hallucinations and ensure responses are grounded in authoritative data.
  • Design validation processes for data availability, freshness, accuracy, and provenance before generating responses.
  • Integrate AI agents with enterprise data sources and APIs.
  • Work with AWS-based data and AI infrastructure.
  • Evaluate and optimize LLM application performance, including latency, token usage, cost, and response quality.
  • Design approaches for managing long conversational context, intent routing, and context isolation.
  • Implement real-time status/progress updates for long-running AI workflows using technologies such as WebSockets or Server-Sent Events.
  • Establish evaluation frameworks and metrics for AI accuracy, grounding, hallucination, and overall system quality.
  • Collaborate with product managers, data engineers, architects, and business stakeholders.
  • Lead technical discussions, architecture decisions, code reviews, and mentor other engineers.
Required Technical Skills
  • Strong experience with Generative AI / LLM applications
  • Hands-on experience with Agentic AI
  • LangGraph and/or LangChain
  • Python & AWS
  • RAG / Retrieval-Augmented Generation
  • Vector databases / Vector Search / Embeddings
  • PostgreSQL
  • SQL / Text-to-SQL
  • Experience with LLM tool calling / function calling
  • Understanding of multi-agent architectures and orchestration
  • Strong understanding of prompt engineering and system prompts
  • Experience addressing LLM hallucination, grounding, context management, and response accuracy
  • Strong software engineering and system design experience
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