Centric Software
Senior Frontier AI Deployment Engineer
Austin, TX · Senior
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About the role
- Our story is one of rapid growth, bold ideas and extraordinary opportunities.
- This is not a pure software-development role.
Responsibilities
- Lead discovery with business, product, data, security, and engineering stakeholders
- Shape solution designs for retrieval-augmented generation (RAG), AI agents, tool use, orchestration, evaluation, guardrails, observability, and human-in-the-loop workflows.
- Partner with engineers and architects on interfaces, data flows, integrations, deployment patterns, and operational readiness
- Own stakeholder-facing demos and the supporting demo sites and environments, including setup, access, content and data readiness, reliability, presentation quality, and ongoing maintenance
- lead stakeholder updates and technical workshops.
- Stay current on rapidly changing AI capabilities and translate new developments into practical recommendations rather than technology for its own sake.
- Lead discovery with business, product, data, security, and engineering stakeholders; convert ambiguous needs into clear use cases, requirements, acceptance criteria, risks, and delivery plans.
- Partner with engineers and architects on interfaces, data flows, integrations, deployment patterns, and operational readiness; contribute code or technical artifacts when it accelerates delivery.
- Own stakeholder-facing demos and the supporting demo sites and environments, including setup, access, content and data readiness, reliability, presentation quality, and ongoing maintenance; lead stakeholder updates and technical workshops.
Requirements
- 6+ years of experience in software, data, ML/AI, solutions engineering, technical product delivery, or a closely related field.
- Demonstrated delivery experience with at least one generative AI system, such as RAG, AI agents, copilots, semantic search, or LLM-enabled workflow automation.
- Excellent written, verbal, and visual communication, including the ability to explain technical choices to nontechnical stakeholders and business context to engineers.
- Experience eliciting requirements, resolving ambiguity, prioritizing scope, defining acceptance criteria, and driving cross-functional execution.
- Ability to review architecture and code, troubleshoot across system boundaries, and produce lightweight prototypes or examples.
- Deep specialization in application coding is not required.
- Experience collaborating across countries and time zones, with disciplined asynchronous documentation and handoffs.
- The ideal candidate is an exceptional communicator who can clarify requirements, shape solution approaches, guide distributed teams and keep delivery moving from discovery through launch.
Nice to have
- Hands-on experience with AWS generative AI services, especially Amazon Bedrock and Amazon Bedrock AgentCore.
- Experience in a forward-deployed, solutions architecture, technical program leadership, consulting, sales engineering, or product ownership role.
- Experience establishing AI evaluation sets, quality metrics, red-team practices, guardrails, monitoring, or production feedback loops.
- Familiarity with cloud-native architectures, APIs, event-driven systems, vector databases, identity and access management, and CI/CD.
- Experience facilitating executive or customer-facing workshops and turning outcomes into an executable product or engineering backlog.
- The role requires planned overlap with colleagues in India and Europe.
- Flexibility for occasional early or late meetings is expected
- sustainable schedules and strong asynchronous practices are equally important.
Company info
- We're here to challenge the status quo-and we're looking for brilliant people who want to do the same.
This listing is sourced directly from Centric Software's careers page and normalized into a canonical job model.