Top Tech Jobs & Startup Jobs

Lead a forward-deployed engineering function that enables enterprise adoption of AI coding tools. Embed with delivery teams, write software, document learnings, monitor adoption through observability tools, identify platform and policy gaps, maintain internal plugin marketplaces, manage SLAs and incidents, and participate in on-call and business-hours support. Collaborate with platform, security, infrastructure, product, and development teams to scale AI-enabled software delivery.

Lead applied AI initiatives by co-developing AI agents, embeddings-based solutions, and proprietary language-model applications with business teams. Identify AI use cases, develop rapid proofs of concept, mentor junior team members, create trainings and technical documentation, guide production implementations, troubleshoot integrations, and collaborate with engineering partners to deliver modular solutions.

Lead the Agentic Foundations engineering team to design, build, and operate enterprise-grade agentic platforms and tooling. Provide technical and operational leadership across AI agent registries, deployment, monitoring, reliability, and developer-facing abstractions while hiring and managing engineering teams and offshore reliability resources.

Defines and scales experiential in-store media within Kroger Precision Marketing. Owns portfolio strategy, product positioning, go-to-market adoption, monetization, pricing, partner governance, sales enablement, and cross-functional execution. Develops scalable media products, operating models, business cases, and measurement approaches that drive advertiser investment, revenue growth, and customer engagement across Kroger’s physical ecosystem.

Designs and delivers architectures for AI-enabled products across data platforms, APIs, cloud applications, machine learning workflows, and event-driven integrations. Partners with product, engineering, data science, security, and business teams to translate needs into technical designs, prototypes, implementation plans, and scalable production solutions. The role also defines API and governance patterns, evaluates emerging AI technologies, supports delivery teams, and mentors engineers on architecture and pragmatic technical execution.

Lead design and delivery of cloud-native, AI-ready data architectures and semantic layers. Define data models, integration patterns, governance, and migration roadmaps. Guide technical decisions, build reference implementations, mentor teams, and ensure security, cost management, and observability for production-grade AI and analytics platforms.

Lead strategy and execution for an AI Platform domain: set vision, manage multiple product teams, define measurable outcomes, build operating systems and reusable capabilities, partner with engineering and commercial teams, drive adoption, and coach product leaders to deliver production-ready, responsible AI features that create business impact.

Lead development of AI workforce platform infrastructure, including deployment automation, CI/CD pipelines, observability, configuration standards, prompt and skill marketplaces, MCP integrations, and workflow playbooks. Partner with engineering teams to embed AI tooling into development workflows, improve platform capabilities, document best practices, and provide technical leadership. The role includes production-quality coding, cross-functional communication, on-call participation, and business-hours customer support.

Leads the creation of an enterprise AI Reliability Engineering discipline, establishing production standards, SLOs, observability, AgentOps, incident response, resilience, quality controls, cost optimization, and safe deployment practices. Builds and leads a multidisciplinary engineering team while partnering across platform, AI, infrastructure, security, and Responsible AI organizations to ensure reliable, high-quality, scalable operation of models, agents, gateways, and shared AI services.

Serve as a strategic partner to CPG clients, managing integrated media and incentive activations from planning through optimization and reporting. Develop data-driven activation strategies, lead client communications, monitor campaign performance, resolve issues, and identify cross-sell and up-sell opportunities. Collaborate with sales, account management, media, insights, and campaign operations teams to deliver accurate, timely campaign execution and commercial growth.