AI Solutions Architect (Datagrid)

AI Agent Solutions Architect

About the Role

Lead the design, customization, and deployment of intelligent agent systems in real-world customer environments. This role sits at the intersection of LLM architecture and customer implementation, reporting to the Senior Manager, Customer Success Engineering.

Location: Bay Area, San Francisco, CA only

Responsibilities

• Design modular, scalable AI agents that reason, take action, and communicate with users across channels
• Meet with and partner closely with customers to understand their use cases and tailor agent workflows to their systems, tools, and data
• Build and optimize multi-step agent chains using prompt engineering, tool integration, and memory/state handling
• Develop proof-of-concept deployments and iterate toward production-ready solutions with enterprise clients
• Integrate external APIs, databases, internal systems, and retrieval-augmented generation (RAG) pipelines into agent frameworks
• Work alongside ML engineers to define performance metrics and improve agent reliability and explainability
• Build internal tooling for prompt versioning, A/B testing, and agent performance feedback loops
• Contribute to reusable design patterns, internal documentation, and knowledge sharing for field-facing solutions

Requirements

• Experience: 3+ years in software engineering, ML development, or solutions architecture with 2 years working on LLMs or agentic systems
• Core expertise: Prompt engineering, agent orchestration, tool use, and stateful reasoning systems
• Frameworks: Hands-on experience with LangChain, AutoGen, Semantic Kernel, or similar
• Programming: Strong Python skills and familiarity with APIs, webhooks, and AI infrastructure
• Production experience: Deploying AI-driven systems in enterprise or production environments
• AI infrastructure: Familiarity with vector databases, embeddings, and RAG architecture
• Communication: Strong client communication skills and a passion for delivering AI that solves real problems

Bonus Qualifications

• Knowledge of symbolic reasoning, knowledge graphs, or multi-modal agents

About You

• A technical problem solver who loves translating ambiguous goals into scalable AI systems
• A customer advocate who enjoys working directly with users to design meaningful solutions
• A builder who ships fast, learns on the fly, and iterates quickly
• A collaborator who bridges the gap between product vision and technical execution
• A startup-minded contributor who thrives in fast-moving, high-ownership environments

Compensation

Base Pay Range: $103,960.00 - $142,945.00 USD Annual

This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location.

Additional Information

Procore is committed to offering competitive, fair, and commensurate compensation.

For Los Angeles County (unincorporated) candidates: Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

• Appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms
• Interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues
• Exercising sound judgment