The AI Capabilities Intern – AI Architecture, Enablement & Tools will join the AI Capabilities & Governance team within Zoetis Tech & Digital (ZTD) to support the enterprise generative AI platform, evaluate and enable new AI tools, and document AI architecture and integration patterns.
Locations (3)
Kalamazoo, Michigan, United States
Parsippany, New Jersey, United States
United States
Compensation
The following hourly pay rates reflect the anticipated base pay for this position:
Associate-level degree: $16.00/hour
Undergraduate-level degree: $22.00/hour
Graduate-level degree: $32.50/hour
Doctorate-level degree: $36.00/hour
For candidates located in California, Connecticut, District of Columbia, Illinois (Chicago area), Massachusetts, New Jersey, New York, or Washington (Seattle area), the anticipated hourly base pay rates are:
Associate-level degree: $17.00/hour
Undergraduate-level degree: $24.20/hour
Graduate-level degree: $36.40/hour
Doctorate-level degree: $40.30/hour
Responsibilities
Partner with business users to identify, document, and implement AI use cases within the enterprise generative AI platform.
Support the AI platform team with value measurement, reporting, usage analysis, and tokenomics.
Identify opportunities for new AI tools, evaluate potential solutions, and participate in testing and assessment activities.
Assist with documenting reference architectures and integration patterns for AI platforms and tools.
Support the preparation of updates and materials for leadership forums, including the AI Council.
Build and ship features for an AI-enabled revenue cycle management platform, including full-stack development, event-driven services, integrations, and AI agent orchestration.
Locations (2)
Chicago, Illinois, United States
United States
Compensation
The target base compensation for this position is $130,000 to $160,000 USD per year in most US locations. Final offer amounts are determined by multiple factors including location, local market variances, and candidate experience and expertise, and may vary from the amounts listed above.
Responsibilities
Build and ship features across a full-stack RCM worklist platform, from the user interface through backend services, APIs, and the data model
Develop event-driven services and workflows that route, prioritize, and track work across people and AI agents
Help build the shared automation foundation: the queues, state, and handoff logic that let an AI agent pick up a work item, finish it, or hand it back to a person, along with audit history, approval gates, and access controls for agent actions
Build and maintain integrations that connect the platform with EverHealth products, our clearinghouse, and third-party systems
Project Manager, AI Model Enablement and Agentic SDLC
Lead and coordinate AI model enablement and agentic development initiatives across engineering, security, data science, legal, and IT to drive adoption and improve program management processes.
Compensation
The base salary range for this position for all U.S. candidates is $85,000 - $120,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package
Responsibilities
Lead end-to-end execution of TechOps AI initiatives
Plan and coordinate model access, evaluation, and approval processes
Align cross-functional teams and act as bridge between technical and non-technical stakeholders
Own status reporting and communication for small to mid-size projects
Drive adoption of new AI-assisted and agentic ways of working
Focused on building demand generation and account-based marketing (ABM) programs to help win and expand strategic accounts for SpaceXSI. This is an execution-heavy role involving copy writing, program execution, and data-driven optimization.
Compensation
Annual compensation range for this role is listed below. $144,000 - $176,000 USD
Responsibilities
Build and run programs for priority accounts and segments
Design and run ABM programs for clusters of strategic accounts grouped by vertical, tech stack, use case, or buying-group pattern
Scale what works into 1:many programmatic plays across a broader target list of prospects and customers
Map buying centers inside each account and build multithreaded plays
Turn account intelligence, intent, and usage signals into tailored campaign treatments
Build and deliver technical learning content and workshops to help engineering teams adopt AI coding tools and new product capabilities.
Compensation
Annual Salary:
$130,000 - $210,000 USD
Responsibilities
Build our technical learning library, including code walkthroughs, tutorials, labs, workshops, reference implementations, and instructor-led training
Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools and drive measurable outcomes
Partner with Product, Engineering, DevRel, and Go-to-Market ahead of major launches so new capabilities ship with clear educational framing, practical examples, and adoption paths on day one
Get Field Engineers, AI Deployment Managers, and Solutions Architects up to speed quickly on new capabilities
Design learning experiences for both developers and non-technical users (e.g. engineering leaders evaluating rollout, PMs pairing with agents)
Requirements
Nice to have: Hands-on experience across the software development lifecycle
Nice to have: Daily use of AI coding tools
Nice to have: Experience building demo environments
Nice to have: Experience designing technical curriculum or learning programs
Nice to have: Experience presenting complex technical concepts to engineering leaders and executives
Field Engineers to partner with prospective and strategic customers across Public Sector, acting as the technical face of SpaceXSI for federal civilian and defense agencies.
Compensation
The expected annual base salary range for this role is $164,500 - $224,000. This role is also eligible for sales commissions or bonuses, with an annual on-target earnings (OTE) range of $235,000 - $320,000. OTE includes base salary plus target incentive compensation, assuming 100% achievement of applicable performance targets.
Responsibilities
Partner with AEs to own technical discovery, demos, POCs, and technical validation for new deals and expansion
Build trusted relationships with engineering, security, product, and IT stakeholders across agencies
Work in mission-critical and high-security environments, including developer workflows, AI tooling, and complex or constrained setups
Help customers connect our platform to outcomes that matter, including developer productivity, secure software delivery, and mission velocity
Deliver technical presentations, whiteboards, and workshops for technical and executive audiences
Requirements
Nice to have: software development
Nice to have: SDLC
Nice to have: AI coding tools
Nice to have: constrained or air-gapped environments
Nice to have: presenting technical concepts to CTOs, CISOs
The starting salary for this position is between $122,315 - $143,900 USD. Candidate's location does not impact the posted salary range. This position also includes equity in CoinTracker and benefits like medical, dental, vision, 401(k), life insurance, and PTO.
Responsibilities
Own the funnel from first visit to a held consultation
Ship the website yourself, building and testing landing pages, calculators, and comparison pages
Run paid acquisition with Google Ads and experiment across new channels
Make Nino the answer in AI search through content, comparison pages, reviews, and offsite authority
Lead technical direction and UI architecture for next-generation partner portals, modernize monolithic systems, mentor engineering community, and drive high-performance web applications.
Locations (5)
Chicago, Illinois, United States
McLean, Virginia, United States
Plano, Texas, United States
Richmond, Virginia, United States
Riverwoods, Illinois, United States
Compensation
The minimum and maximum full-time annual salaries for this role are listed below, by location. Chicago, IL: $244,700 - $279,200 for Staff Full-stack Engineer
Build and manage Chipotle’s cloud and on‑premises infrastructure, focusing on automation, scalability, and reliability.
Compensation
A reasonable estimate of the current base pay range for this position is $87,000.00–$120,000.00. You are also eligible for annual cash bonuses and equity awards based upon performance and other factors.
Responsibilities
Configure, deploy, and manage cloud infrastructure (Azure/AWS) and on‑prem servers
Develop and maintain Infrastructure‑as‑Code templates and CI/CD pipelines
Leverage LLMs and hybrid AI models to accelerate engineering work
Implement and tune monitoring, logging, and alerting solutions
Troubleshoot complex infrastructure issues
Requirements
Bachelor's Degree (BA/BS) from 4‑year college or university
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