Manager, AI Innovation and Solutions
$70,000–$119,000 year
HybridWhittier, California, United States
Job Summary
Architect, prototype, and build custom agentic workflows, tool-calling systems, and multi-step AI applications to automate qualitative and quantitative research processes. Lead end-to-end development of proprietary AI-driven tools, custom APIs, and analytics products while managing structured outputs, function calling, and API orchestration. Deploy, manage, and optimize AI models, databases, and data pipelines on Google Cloud Platform and Azure services. Write, optimize, and maintain production-grade code in Python and R for advanced text/image/video processing, statistical modeling, and machine learning. Establish best practices for code reproducibility, analytical rigor, and data security across the team. This role sits at the intersection of AI product engineering, advanced unstructured data analytics, and strategic research, focusing on selecting, integrating, and orchestrating existing models to solve real business problems rather than training foundation models.
Required Qualifications
- Deep technical expertise in Python, R, and SQL
- Proven track record of designing and implementing agentic workflows (e.g., multi-agent systems, tool-use LLMs, autonomous research loops) within cloud environments
- Experience with Google Cloud Platform (GCP) and Azure
- Knowledge of designing human-in-the-loop workflows
- Advanced Python skills, with hands-on experience building AI-enabled applications, agentic workflows, tool-calling systems, structured outputs, APIs, and human-in-the-loop processes
- Experience with LLM orchestration frameworks and protocols such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, and Model Context Protocol (MCP)
- Strong SQL skills and experience with cloud data platforms such as Databricks, BigQuery, or Microsoft Fabric
- Experience building and deploying secure, production-ready AI applications on GCP and/or Azure
- Experience with RAG, embeddings, vector and hybrid search, reranking, LLM evaluation, tracing, monitoring, prompt and model versioning, access controls, data privacy, prompt-injection mitigation, and production testing
- Experience using R for survey-data ETL
- Bachelor's degree in quantitative, computational, or scientific discipline (e.g., Computer Science, Data Science, Statistics, Economics, Engineering)
- 3+ years of professional experience in data science, AI engineering, analytics, or market research
- Minimum of 2 years specifically focused on building or developing AI solutions, digital products, or NLP pipelines
- A portfolio of built products, open-source contributions, custom dashboards, or published research showcasing your ability to take a solution from concept to functional product
- Exceptional ability to translate highly ambiguous, complex client business problems into step-by-step logic and robust technical workflows
- An innate ability to explain 'how the black box works' to non-technical stakeholders in a highly persuasive, visual way
- A passionate self-starter who actively experiments with new AI models and thrives in a fast-paced, rapidly evolving hybrid environment
- Location: Hybrid (onsite 2-3 days/week in Whittier, CA)
- Status: Contract to Hire
Desired Qualifications
- An advanced degree with research experience
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