AI Solutions Engineer, Cockroach Labs

• 7+ years of experience in business systems roles (or related), with experience with LLMs, agent frameworks, or automation systems
• Strong knowledge of AI technologies and their applications in business systems
• Proficiency in both declarative configuration (clicks) and custom development (code) to build out AI systems
• Strong analytical skills to identify system inefficiencies and apply AI solutions to improve performance
• Demonstrated ability to operate in zero-to-one environments and prioritize effectively across ambiguous, cross-functional contexts
• Strong business acumen with the ability to proactively identify areas where business systems can be improved, driving innovation and efficiency
• Experience navigating security, data privacy, and compliance constraints
• Excellent communication and interpersonal skills to work effectively with internal stakeholders and cross-functional teams
• Background in ETL, business systems integration, or enterprise tooling

Desirable

• We’re embedding AI agents into our workflows to drive productivity, reduce manual overhead, and unlock new ways of working
• The AI Solutions Architect will be instrumental in this journey, acting as a technical builder, internal consultant, and cross-functional integrator
• This individual will partner with teams across the business to identify high-impact opportunities for automation, build intelligent agentic systems, and help scale adoption of AI across our internal tools and systems
• The role will work closely with Corporate IT, Security, and teams across GTM, R&D, and G&A
• Identify and Prioritize Workflow Opportunities: Partner cross-functionally to identify and prioritize internal workflows where AI agents can significantly enhance productivity, starting with GTM automation
• Develop a strong understanding of business priorities, system dependencies, and operational bottlenecks to help teams identify the highest-leverage opportunities for AI automation
• Design and Implement Agentic Systems: Architect and deploy AI-driven solutions using tools such as LangChain, OpenAI, LangGraph, and vector databases, with a strong emphasis on integrating systems and automating workflows through platforms like Zapier or custom APIs
• Ensure solutions are tailored to specific business challenges and seamlessly connected across the tech stack
• Deploy, Scale, and Operationalize AI Agents: Ship agents that live inside our real workflows, Slack threads, GitHub repos, Notion docs, retros, etc
• Your agents will act like teammates, not just scripts
• Enable Reuse and Drive Adoption: Wrap effective agents into internal SDKs, APIs, or interfaces so other teams can build on your work
• Lead change management efforts to drive adoption, including documentation, training, and stakeholder enablement to help teams across the business confidently leverage AI in their workflows
• Define Measurable KPIs: Collaborate with cross-functional stakeholders to establish clear, measurable KPIs aligned with driving internal efficiency
• Ensure each team involved has defined success metrics to monitor impact and continuously optimize AI system performance
• Act as a Consultant & Architect: Act as an internal consultant and architect, guiding teams on AI system design, feasibility, and best practices
• Where external partners are involved (e.g. , Dust.tt), provide technical oversight to ensure quality and alignment
• Ensure Secure, Responsible AI Integration: Ensure security, accuracy, and compliance by incorporating guardrails, data governance, compliance, HITL, memory, observability, and prompt testing
• In your first 30 days, you’ll embed with the Technical Support team, familiarize yourself with our corporate systems (Salesforce, Jira, Slack, Notion), and map out a high-impact use case for your first agent
• By 60 days, you will have shipped an initial MVP agent that integrates into real workflows, with measurable improvements in efficiency or automation. You’ll begin building reusable components and patterns for internal use
• At 90 days, you’ll be acting as the internal authority on agentic automation and scaling your solutions to adjacent teams or workflows. You’ll be mentoring others informally and collaborating on internal documentation and standards