Senior Frontier AI Deployment Engineer

About Centric Software

Centric Software® is a global leader, providing an innovative and AI-enabled product-concept-to-commercialization platform for retailers, brands and manufacturers of all sizes. We equip retail, fashion, luxury, footwear, outdoor, home and consumer goods brands with pioneering best-of-breed solutions to plan, design, develop, source, comply, buy, make, price, allocate, sell and replenish products. Our technology powers brands to streamline processes, drive efficiency and operate with confidence in an ever-changing market.

Centric Software® is a global leader, providing an innovative and AI-enabled product-concept-to-commercialization platform for retailers, brands and manufacturers of all sizes. We equip retail, fashion, luxury, footwear, outdoor, home and consumer goods brands with pioneering best-of-breed solutions to plan, design, develop, source, comply, buy, make, price, allocate, sell and replenish products. Our technology powers brands to streamline processes, drive efficiency and operate with confidence in an ever-changing market.

Our story is one of rapid growth, bold ideas and extraordinary opportunities. We’re here to challenge the status quo—and we’re looking for brilliant people who want to do the same. No matter where you are in the world, this is your chance to be part of something exceptional.

We are seeking a Senior Frontier AI Deployment Engineer to bridge product, engineering, and business stakeholders as we design and deliver production-oriented generative AI solutions. This role combines the practical judgment of an AI engineer with the ownership mindset of a product lead. 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.

This is not a pure software‑development role. Strong technical fluency and hands‑on delivery experience are required, but success depends more on systems thinking, stakeholder alignment, clear written and verbal communication, and sound product judgment than on writing large volumes of code.

• Lead discovery with business, product, data, security, and engineering stakeholders; convert ambiguous needs into clear use cases, requirements, acceptance criteria, risks, and delivery plans.
• Act as the connective layer among teams in India, Europe, and North American Central and Pacific time zones, creating crisp decisions, handoffs, documentation, and follow-through.
• Shape solution designs for retrieval-augmented generation (RAG), AI agents, tool use, orchestration, evaluation, guardrails, observability, and human-in-the-loop workflows.
• Guide prototypes and production implementations, making pragmatic tradeoffs across user value, model quality, latency, cost, security, reliability, and maintainability.
• 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.
• Define meaningful success measures and evaluation approaches for AI quality, safety, adoption, and business impact.
• Stay current on rapidly changing AI capabilities and translate new developments into practical recommendations rather than technology for its own sake.

• 6+ years of experience in software, data, ML/AI, solutions engineering, technical product delivery, or a closely related field.
• Demonstrated senior‑level ownership of ambiguous, cross‑functional initiatives, including driving decisions and delivery across multiple phases rather than contributing only to isolated technical tasks.
• Demonstrated delivery experience with at least one generative AI system, such as RAG, AI agents, copilots, semantic search, or LLM‑enabled workflow automation. Candidates need not have built every component alone, but must…