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ZettaSquared

Senior Forward Deployed Engineer/Architect

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeHouston, TX, USA

About the Job

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • At least 2 years of experience designing and delivering enterprise AI-native solutions, including building applications powered by large language models or other AI models and composing components such as prompts, agents, tools, retrieval, evaluators, workflows, and integrations into end-to-end systems.
  • At least 5 years of software engineering experience designing and delivering enterprise software systems, with strong AI and machine learning depth.
  • Experience with AI stack technologies, including Google, Amazon Web Services, Nvidia, OpenAI, Anthropic, Grok AI, Cursor, Bloc, Typesafe AI, Thinking Machines, WorkOS, Databricks, Apache Iceberg, Snowflake, Zapier, and Ping Identity.
  • Track record of partnering with clients to grow accounts over multiple weeks, months, and years.
  • Track record of leading and coaching AI engineers over multiple years.
  • Proven experience as a hands-on technical lead building and shipping AI-native solutions.
  • Mastery of the AI development lifecycle, from data lakes to model deployment and monitoring.
  • Ability to communicate credibly with audiences ranging from engineers to executives.
  • Ability to travel typically 10–50%, depending on project, customer needs, and role on the engagement.
  • Background in consulting or client-facing engineering roles.

Responsibilities

  • Drive technical discovery with clients, understand their environments and constraints, and account for the realities of dynamic enterprises.
  • Design and deliver AI-native solutions that balance speed, reliability, scalability, and cost.
  • Design and deploy proprietary AI products, solutions, agentic workflows, and services.
  • Lead and coach the engineers on the account, setting technical direction for people and project outcomes.
  • Partner with company leadership to support team growth and determine team composition according to account needs.
  • Serve as the forward-deployed technical leader, tailoring communication from engineers to business leaders and project sponsors.
  • Influence client decision-making by helping them make technical choices that support AI success.
  • Guide and mentor engineers from design through delivery.
  • Translate client-specific solutions into reusable proprietary AI products, solutions, agentic workflows, and services in partnership with company leadership.
  • Share insights across the company and team to improve future deployments.
  • Design, implement, deploy, and iterate on end-to-end AI systems in close partnership with customers, subject matter experts, and other engineers.

About the Company

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