AI Engineer II
About The Position
The AI Engineer II will help lead the technical execution and scaling of AI solutions across the enterprise, with a focus on building AI agents for finance and sales analytics teams. The role works with cross-functional teams to plan and build production-ready AI workflows and digital solutions that deliver measurable business value. It also evaluates and implements AI platforms such as Claude, ChatGPT Enterprise, Copilot, Snowflake Cortex, and Salesforce while ensuring solutions meet data governance and security standards. The position is based at Smart Circle’s headquarters in Newport Beach, California. Smart Circle is a broker of outsourced sales and customer acquisition services, supporting clients and independently owned and operated sales companies through in-person marketing and sales campaigns.
Requirements
- 3–5 years of hands-on experience in AI/GenAI solutions, data analytics, or enterprise technology.
- Advanced proficiency in Python for building AI applications.
- Experience designing and implementing AI agent architectures, including tool integrations, Model Context Protocol (MCP) servers, API orchestration, and enterprise system connectivity.
- Strong proficiency with AI/GenAI platforms such as Claude, ChatGPT, Snowflake Cortex, and Salesforce.
- Experience with enterprise data platforms, CRM systems, cloud technologies, and modern data architectures such as vector databases and data lakes.
- A track record of implementing and scaling AI or digital solutions in a fast-paced environment.
- Understanding of responsible AI, data security, and enterprise AI best practices.
Nice To Haves
- Experience supporting finance or sales analytics teams.
- Experience with TypeScript or R.
- Bachelor’s degree in Computer Science, Data Science, AI, Engineering, or a related field.
- Professional AI certifications, such as Microsoft AI-102, SnowPro Core, Salesforce AI Associate, or a prompt engineering course.
Responsibilities
- Design, build, and deploy AI agents for finance and sales analytics teams, integrating them with enterprise tools, APIs, and data sources.
- Design, deploy, and scale AI, generative AI, and LLM-based solutions across business units.
- Lead prototyping, testing, and scaling of new AI use cases.
- Research, evaluate, and implement emerging AI tools and platforms.
- Partner with data and engineering teams to integrate AI into existing enterprise platforms.
- Write technical documentation and reports for engineering teams and stakeholders.
- Improve the performance and reliability of AI platforms over time.
- Perform additional responsibilities as assigned based on business needs and organizational priorities.
Benefits
- Vacation
- Sick leave
- Paid holidays
- Medical coverage, with an HSA plan option
- Dental insurance
- Vision insurance
- Company-paid basic life insurance
- Opportunity to enroll in voluntary life plans
- Employee Assistance Program
- 401(k) with employer match
- Employee referral program
- Home office stipend
- Team-building opportunities
- Growth and development opportunities
- On-demand access to an LMS with professional and personal development courses
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
