Job Description
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Company Overview
A technology company is building infrastructure designed to enable AI applications to interact with and take actions across real-world systems. Its platform focuses on agentic AI tools, tool-calling capabilities, integrations, authentication, and infrastructure that help AI models move beyond conversational interactions and perform actions through connected applications and services.
Key Responsibilities
- Partner with Account Executives to lead technical discovery and evaluations with Heads of AI, CTOs, architects, and other technical stakeholders.
- Design and build custom prototypes, proofs of concept, and reference architectures demonstrating how AI infrastructure can enable real-world actions.
- Translate complex infrastructure, middleware, API, and integration concepts into clear, value-driven solutions for customers.
- Serve as a technical authority throughout customer engagements and complex sales cycles.
- Gather technical feedback from customers and communicate insights to Product and Engineering teams to influence the product roadmap.
- Develop working prototypes and systems based on customer requirements that may eventually become part of the core platform.
- Help navigate complex technical challenges during enterprise deal cycles ranging from $200K to seven-figure opportunities.
- Stay current with developments across the AI ecosystem, including LangChain, LlamaIndex, vector databases, LLM orchestration, and autonomous agent frameworks.
- Advise customers on broader AI strategies and architectures involving agentic systems and tool-calling infrastructure.
- Work closely with customers to design architectures capable of meeting enterprise security and governance requirements.
- Present technical concepts at conferences and other industry events.
- Contribute to technical content, blogs, and other materials that support education around agentic AI.
- Maintain an active understanding of emerging AI technologies and incorporate AI tools into daily technical workflows.
Required Qualifications
- 3+ years of experience as a Pre-Sales Engineer, Solutions Engineer, Solutions Architect, or technical consultant selling highly technical infrastructure.
- Experience with enterprise infrastructure technologies involving databases, security, integration, or cloud platforms.
- Strong understanding of enterprise integration technologies, including iPaaS platforms such as MuleSoft, Workato, or Boomi; ETL/ELT platforms such as Informatica, Fivetran, or Airbyte; RPA platforms such as UiPath or Automation Anywhere; or API gateways and service meshes such as Apigee, Kong, or Istio.
- Hands-on experience working with APIs, SDKs, and modern programming languages such as Python, JavaScript, or TypeScript.
- Strong systems architecture and integration skills.
- Ability to understand complex technical environments and identify solutions aligned with customer business objectives.
- Strong communication skills with the ability to explain technical concepts to executive and technical audiences.
- Comfortable presenting technical solutions to customers and industry audiences.
- Strong curiosity and interest in emerging AI technologies.
- Experience actively using AI tools in technical workflows and a willingness to develop expertise in agentic AI.
Alternative Technical Backgrounds
Candidates may also bring relevant experience from other technical disciplines, including:
- AI Agent Development: Experience building AI agents with frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, or similar technologies.
- Backend Engineering: Experience developing production microservices and operating distributed systems at scale.
- Identity & Security: Experience with OAuth 2.0, OIDC, SAML, SCIM, token lifecycles, delegated authentication, and modern identity technologies.
- Infrastructure Engineering: Experience with Kubernetes, containers, service meshes, cloud platforms such as AWS, GCP, or Azure, and CI/CD pipelines.
- Data & AI/ML: Experience in data science, machine learning engineering, or applied AI/ML.
Compensation and Benefits
This role offers a competitive salary, equity, and benefits. Compensation is determined based on a candidate’s background, experience, and performance.
Disclaimer
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