zetta2 Senior Forward Deployed Engineer/Architect responsible for technical leadership and hands-on building of AI-native solutions. Leads teams and partners with clients to design, implement, and deploy AI systems.
Responsibilities
We're looking for several Senior Forward Deployed Engineers/Architects. Think of it as being the technical leader of the account: often starting as the first engineer on a new engagement, shaping the AI solution from the ground up, and building and leading the team around you to deliver it.
This is not a demo-building role. Senior Forward Deployed Engineer/Architects are hands-on builders. They design, implement, deploy, and iterate on end-to-end AI systems in close partnership with customers, subject matter experts, and other ZETTA2 engineers.
Technical Leadership
Work closely with the ZETTA2 leadership team to drive technical discovery with clients, understand environments, constraints, and the realities of dynamic enterprises.
Work closely with the ZETTA2 leadership team to design and deliver AI-native solutions that balance speed, reliability, scalability and cost.
Work closely with the ZETTA2 leadership team to design and deploy proprietary AI products, solutions, agentic workflows and services.
Lead and coach the engineers on the account — set technical direction for people and project outcomes.
Partner with ZETTA2 leadership team to support team’s growth as well as figure out team composition according to account needs.
Client Engagement
Act as the forward-deployed face of technical leadership, tailoring communication from engineers to business leaders and project sponsors.
Influence decision-making by helping make smart technical choices that help clients realize AI success.
Delivery & Enablement
Qualification
Mastery of the AI development lifecycleAbility to travel - typically 10–50%
Required
Academic excellence - Bachelor’s or Master’s degree in Computer Science, Engineering or related technical field.
2+ years’ experience designing and delivering enterprise AI-native solutions. You have built applications powered by LLMs or other AI models and are comfortable composing multiple components — prompts, agents, tools, retrieval, evaluators, workflows, and integrations — into end-to-end systems.
5+ years’ software engineering experience, designing and delivering enterprise software systems, with strong AI/ML depth.
Experience with AI stack technologies (Google, AWS, Nvidia, OpenAI, Anthropic, Grok AI, Cursor, Bloc, Typesafe AI, Thinking Machines, WorkOS, Databricks, Apache Iceberg, Snowflake, Zapier, Ping Identity and others).
Track record of partnering with clients to grow the account over numerous 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 engage credibly across audiences – from engineers to executives.
Ability to travel - typically 10–50%, depending on the project, customer needs, and your role on the engagement.
Background in consulting or client-facing engineering roles.
