Top Tech Jobs & Startup Jobs

Lead end-to-end OneStream XF architecture for enterprise consolidation, planning, reporting, and close-management implementations. Facilitate finance leadership workshops, translate requirements into scalable application and integration designs, establish governance and development standards, oversee implementation quality, resolve complex issues, and mentor technical and functional teams. Support consulting delivery across discovery through post-go-live, contribute to proposals and business development, and manage project resource planning.

Develop and deploy scalable AI and machine learning solutions for client use cases. Responsibilities include designing machine learning models, extracting insights from complex data, deploying production systems, creating agentic and multi-agent architectures, building conversational AI applications, and integrating cloud AI services. The role also involves stakeholder collaboration, system specification, testing, issue management, and supporting enterprise GenAI delivery.

Develop and enhance custom software applications using Java, Java Enterprise Edition, and Spring Boot. Design scalable solutions, collaborate with cross-functional teams, apply coding best practices, improve application performance, contribute to agile discussions, mentor junior engineers, and stay current with emerging technologies. This role requires working onsite five days per week in Bentonville, Arkansas.

Design, prototype, deploy, and scale production AI workflows and agents for enterprise clients. Integrate foundation models with platforms such as SAP, ServiceNow, Salesforce, and internal systems. Translate ambiguous business needs into technical solutions, lead architecture and stakeholder discussions, and ensure secure, reliable, scalable outcomes from concept through iteration.

Analyze industry trends and benchmarks, design AI-enabled future-state processes, assess organizational change impacts, and develop transformation recommendations. The role applies machine learning, deep learning, generative AI, and AI-agent design to client processes. Responsibilities also include model deployment, data analysis, consulting delivery, proposal support, process playbook development, and communicating structured recommendations to clients.

Develops scalable AI and machine learning solutions for client use cases, including model development, data analysis, production deployment, conversational AI, and multi-agent architectures. Collaborates with stakeholders on system rollouts, specifications, testing, maintenance, and issue management. Requires experience with machine learning, deep learning or NLP, cloud-based AI/ML services, and conversational AI orchestration. Travel may range from none to 100% based on business needs.

Leads enterprise FinOps AI and cloud engineering initiatives, defining agentic AI architectures, MCP integrations, policy-as-code, IaC guardrails, automation pipelines, security controls, telemetry, and executive dashboards. Manages multi-workstream, multi-cloud delivery squads, scales reusable FinOps components, supports client consulting and sales pursuits, and ensures compliance with enterprise AI standards. The role requires extensive cloud, FinOps automation, program leadership, and agentic AI experience.

Develop custom software solutions using React.js and modern development practices. Collaborate with cross-functional teams to translate requirements into technical specifications, implement high-quality code, conduct code reviews, stay current with emerging technologies, and mentor junior team members. The role requires front-end development and UI/UX experience and is performed onsite five days per week in Bentonville, Arkansas.

Leads Data and AI transformation strategy for supply chain and engineering clients, particularly in life sciences. Responsibilities include identifying AI opportunities, defining strategies, guiding solution delivery, establishing data governance, developing business cases and KPIs, supporting business development, and mentoring consultants. The role bridges business and technical stakeholders and requires substantial consulting, transformation, technology-enabled solutions, and life sciences industry experience.

Leads Finance Transformation consulting engagements for CFOs and finance leadership teams. Defines target operating models, GBS/GCC service delivery models, transformation roadmaps, business cases, and commercial proposals. Combines sales capture, executive stakeholder engagement, and delivery leadership while applying AI, Generative AI, automation, and analytics to finance processes. Requires extensive Finance Transformation, shared services, and global delivery experience, plus C1 English proficiency.