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Ai Sales Engineer Jobs in Riverside, CA (NOW HIRING)

Collaborate closely with Field Sales Engineers and Business Development Managers to support account ... AI), to help identify and evaluate candidates. All hiring decisions are ultimately made byhuman ...

... role in the worldwide IT sales channel, bringing products and services from technology ... Mentor and coach AI engineers and developers on advanced architectural concepts, design principles ...

AI Agent Performance Lead

Irvine, CA · On-site

$154 - $193/hr

At the intersection of sales strategy and engineering, you will analyze conversation transcripts to ... scale Sierra AI as a trusted, high‑performing sales platform. Responsibilities * Define ...

New

At the intersection of sales strategy and engineering, you will analyze conversation transcripts to ... scale Sierra AI as a trusted, high-performing sales platform. Responsibilities * Define ...

New

At the intersection of sales strategy and engineering, you will analyze conversation transcripts to ... scale Sierra AI as a trusted, high-performing sales platform. Responsibilities * Define ...

New

AI Technical Lead

Irvine, CA · On-site

$180 - $280/hr

... sales and research materials. The solution will leverage advanced Agentic AI capabilities to ... Lead, mentor, and inspire a specialized team of Python and TypeScript engineers. * Drive delivery ...

Showing results 21-40

Ai Sales Engineer information

See Riverside, CA salary details

$45.4K

$100.4K

$155.4K

How much do ai sales engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for ai sales engineer in Riverside, CA is $100,356.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $117,400.00 per year, depending on experience, location, and employer.

How does an AI Sales Engineer typically collaborate with both technical and non-technical teams during the sales process?

As an AI Sales Engineer, you'll act as a vital bridge between customers, sales teams, and technical experts. You'll regularly work with account executives to understand client needs, while also collaborating with AI product and engineering teams to customize solutions and address technical questions. Effective communication is key, as you'll need to translate complex AI concepts into clear value propositions for clients with varying technical backgrounds. This collaborative approach ensures that clients receive solutions tailored to their business goals and that internal teams are aligned throughout the sales cycle.

What are the key skills and qualifications needed to thrive as an AI Sales Engineer, and why are they important?

To thrive as an AI Sales Engineer, you need a solid background in computer science or engineering, strong technical sales acumen, and an understanding of AI/ML concepts. Familiarity with CRM systems, AI platforms (like TensorFlow or PyTorch), and relevant certifications such as AWS Certified Machine Learning or Google Cloud AI credentials are common requirements. Outstanding communication, problem-solving ability, and the capacity to translate complex technical concepts for diverse audiences are crucial soft skills. These competencies enable effective bridging of technical and business needs, driving successful AI solution adoption and customer satisfaction.

What is the difference between Ai Sales Engineer vs Data Scientist?

AspectAi Sales EngineerData Scientist
Required CredentialsBachelor's in Engineering, Computer Science, or related field; knowledge of AI productsBachelor's or higher in Data Science, Statistics, or related field; strong programming skills
Work EnvironmentCustomer-facing, technical sales, collaboration with sales and engineering teamsData analysis, model development, research, often in office or lab settings
Employer & Industry UsageTech companies, AI solution providers, startupsTech firms, research institutions, finance, healthcare
Common Search & ComparisonYesNo

The main difference between an Ai Sales Engineer and a Data Scientist lies in their focus. Ai Sales Engineers primarily engage in technical sales, demonstrating AI solutions to clients, while Data Scientists analyze data to develop models. Both roles require technical knowledge, but their work environments and objectives differ significantly.

What are popular job titles related to Ai Sales Engineer jobs in Riverside, CA?

For Ai Sales Engineer jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Ai Sales Engineer jobs in Riverside, CA look for?

The top searched job categories for Ai Sales Engineer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Ai Sales Engineer jobs?

Cities near Riverside, CA with the most Ai Sales Engineer job openings:

Senior AI Infrastructure Platform Engineer, Assistant Vice President

State Street Global Advisors

Irvine, CA • On-site

$90K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

Who we are looking for:This is an Infrastructure Lead/Mid-level Architect position in Automation/Artificial Intelligence team. Our primary objective is to drive A/AI efforts across STT's processes and functions; partner with business and technology teams to design and implement transformational A/AI across people, process and technology.As a member of the Global AI Team, the incumbent will partner with stakeholders across different business teams & regions, to identify opportunities, develop cutting edge technology solutions & work with business units and various other stakeholders to improve the efficiency & effectiveness of their processes, using levers Artificial Intelligence.What you will be responsible for:As a Senior AI Infrastructure Platform Engineer,you will contribute individually as well as lead GenAI /Agentic AI projects through your full-stack development and architecture expertise. This position requires a demonstrated excellence in system design and architecture, as well as individual contributions indevelopment. You will work closely across business and IT, strong communication skills are necessary.
  • Lead Development projects independently and work with Business, IT and Infrastructure teams.
  • Work with a team of data scientists, machine learning engineers, software engineers and QA engineers.
  • Drive rollout & deployment of "self-service" technology platforms.
  • Create MVPs; to assess feasibility and drive the automation strategy, to include all aspects of automation, AI and ML
  • Work with project management facilitating development, managing sprints.
  • Work with Enterprise Architecture to present and review solution designs conforming to EA standards.
  • Create materials required to support future state execution (eg: Design and development artifacts, JIRA stories etc)
  • Develop an in-depth understanding of business processes, functions, teams, incumbent technology
  • Identify what's standard vs. bespoke, and what drives value for clients
  • Design an end-state that relies on the latest automation offerings
  • Ensure the team has the highest likelihood of success, and all risks are managed by demonstrating consistent and proactive ownership of assigned responsibilities for standard work products, version control, model lifecycle, and Quality Control
These skills will help you succeed in this role:
  • Hands on expertise on Python, FastAPI, Unix, Docker, Postgres, Lang Chain / Lang Graph,Kubernetes, Databricks, API Management, AWS and Azure
  • Design and deploy cloud-native applications using Azure Foundry, Open AI, Document Intelligence, Azure Functions, Azure Logic Apps, AWS Bedrock, AWS Sagemaker, AWS agent core, AWS Step Functions, AWS Lambda and EKS
  • Experience in developing Gen AI and Agentic AI solutions, Fine tuning models, model selection, model evaluations and inferencing, frameworks and architectures
  • Agile development methodology, CI/CD Development environments and tools (GIT, Maven, Harnes, etc).
  • API Development for interoperable Cloud solutions including a deep focus on building the best of breed solutions which are used at scale across enterprise.
  • Strong analytical skills, critical thinking, problem solving, and decision making.
  • Very strong organizational skills, ability to meet deadlines and proven experience in working with large cross functional teams will be a plus
Education & Qualifications:
  • Bachelors Degree in Computer Science or Engineering.
  • 5+ years of experience in Technology development or consulting on large-scale implementations in consulting or financial services industry.
  • Certification preferred in Cloud, AI & ML

Salary Range:

$90,000 - $157,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at StateStreet.com/careers

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It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.