Lead discovery sessions with business stakeholders to understand objectives, pain points, constraints, and desired outcomes for proposed use cases.
Partner with architects and technical teams to shape solution approaches for new and evolving business use cases.
Translate business and functional requirements into solution concepts, architecture recommendations, and implementation considerations aligned with enterprise standards.
Assess solution options, tradeoffs, dependencies, and technical feasibility.
Collaborate with engineers, data scientists, machine learning engineers, and domain experts to refine solution direction and support delivery planning.
AI Solution Architect contractor supporting enterprise AI and data use cases, focusing on discovery, solution architecture, and implementation guidance across hybrid environments.
Locations (2)
Peoria, Illinois, United States
Irving, Texas, United States
Responsibilities
Engage with architects, business stakeholders, and internal development teams to assess needs and evaluate solution options
Translate business and functional requirements into solution concepts and architecture recommendations
Collaborate with cross-functional teams to refine solution direction and provide implementation guidance
Create or demonstrate reference implementations or lightweight prototypes
Assess solution options, tradeoffs, dependencies, and technical feasibility
Lead product ownership for Agentic AI initiatives, defining vision, roadmap, and lifecycle while coordinating cross-functional teams and ensuring enterprise security and governance.
Compensation
Pay Range: $50 - $55/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Responsibilities
Define the Agentic AI product vision, roadmap, MVP scope, priorities, success measures and business outcomes.
Own epics, features, user stories, acceptance criteria, Definition of Done and backlog prioritization in Jira; support PI and sprint planning.
Drive requirements for autonomous and On-Behalf-Of agent patterns, multi-agent interactions, orchestration and the full agent lifecycle.
Partner with IAM and cybersecurity teams on workload and agent identities, authentication, authorization, Zero Trust, Microsoft Entra ID and policy-based access controls.
Lead global technical alliances to drive Nutanix strategy and growth through partnerships with semiconductor and AI vendors.
Compensation
The pay range for this position at commencement of employment is expected to be between USD $135,000 and USD $ 270,000 per year.
Responsibilities
Help develop and execute on an overall vision, technical strategy, and work plan for strategic partners
Engage all relevant stakeholders and decision makers to drive cross-functional alignment and technical solution delivery of joint Nutanix-Partner offering
Serve as the technical expert to identify key areas of alignment between Nutanix & silicon AI partners
Internally promote and advocate for partner technology integration and certification; track and maintain joint partner product certification roadmaps
Initiate and support development and execution of sales training material
Requirements
Degree in Computer Science, Engineering or related field or equivalent technical experience
Enterprise sales role focused on Siemens Intelligence Center X platform.
Compensation
The base salary range for this position is $146,700 - $293,400 USD. This is a 50/50 split. The actual compensation offered will be based on factors such as experience, skills, education, certifications, work location, and business needs. In addition to base salary, this position may be eligible for an annual incentive bonus and participation in the company's benefits programs, which may include medical, dental, vision, retirement savings plans, paid time off, and other employee benefits.
Responsibilities
Help customers move from digital enterprise to agentic enterprise
Leads a team responsible for the roadmap, administration, service quality, standards, vendor performance, and maker enablement of one or more enterprise AI platforms.
Compensation
$97,219.20 - $180,835.20
Responsibilities
Own assigned AI platform product and service roadmaps, prioritized backlogs, lifecycle plans, service definitions, and measurable outcomes.
Translate enterprise and user needs into platform capabilities, administration practices, approved patterns, documentation, integration priorities, and enablement plans.
Establish and oversee tenant, environment, access, provisioning, configuration, model-access, policy-control, capacity, usage, cost, and lifecycle-administration practices.
Define and monitor measures for service quality, responsiveness, adoption, cost, capacity, reliability, vendor performance, user experience, and compliance with approved standards.
Lead vendor relationships and evaluate roadmap changes, licensing, consumption, emerging capabilities, technical dependencies, portability, supportability, and enterprise fit.
Leads enterprise direction for AI-specific platforms and shared products, owning platform administration, product and service direction, and strategic relationships with vendors.
Compensation
$170,060.80 - $316,284.80
Responsibilities
Lead enterprise AI platform strategy and roadmap
Define AI product and platform reference patterns and integration requirements
Own product direction for shared AI platforms and capabilities
Build and lead a high-leverage AI-first team
Manage budgets, licensing, capacity, and resourcing
Requirements
Master's degree in Information Technology, Computer Science, Information Systems, Engineering, or a closely related technical discipline
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