Artificial Intelligence

• Deploy, manage, and validate AI Compute/HPC infrastructure in Linux-based environments for new and existing customers
• Act as the domain expert with customers from planning calls through implementation
• Interact with customers, partners, and internal teams to analyze, define, and implement large-scale AI Compute projects
• Work across networking, system design, automation, and validation
• Prepare handover-related documentation and perform knowledge transfers as customers begin rolling out sophisticated systems
• Provide feedback to internal teams by opening bugs, documenting workarounds, and suggesting improvements

AI Compute Engineer

• Research, design, and implement novel embodied and agentic AI methods
• Collaborate with a mentor and broader research team to develop ideas from hypothesis through rigorous experimentation
• Partner with product and engineering groups to transfer research breakthroughs into real-world applications
• Rapidly prototype and iterate on ideas using state-of-the-art hardware and infrastructure
• Publish internship project results at top computer vision and machine learning venues

PhD Research Intern, Embodied and Agentic AI

• Deploy, manage, and validate AI Compute/HPC infrastructure in Linux-based environments for new and existing customers
• Act as the domain expert with customers during planning calls through implementation
• Perform handover-related documentation and knowledge transfers to support customers rolling out sophisticated systems
• Provide feedback to internal teams by opening bugs, documenting workarounds, and suggesting improvements
• Interact with customers, partners, and internal teams to analyze, define, and implement large-scale AI Compute projects involving networking, system design, automation, and validation

Senior AI Compute Engineer

• Lead the technical roadmap and day-to-day execution for agentic AI workflows accelerating small-molecule discovery across internal pipelines and external collaborations
• Design, build, and deploy multi-step agentic systems integrating ML-based molecular design with automated decision-making loops for hypothesis generation, compound prioritization, and experimental triage
• Drive efficiency gains in discovery collaborations and enable sustainable, scalable business opportunities
• Co-lead creation of the Iambic Lab of the Future, integrating AI molecular design with high-throughput experimental platforms and automated data-generation pipelines
• Partner with computational, experimental, and data engineering teams to ensure agentic systems are scientifically grounded, technically robust, and operationally adopted
• Represent Iambic's agentic discovery capabilities at scientific conferences, partnership discussions, and with academic collaborators
• Work with senior leadership to develop agentic discovery strategy aligned with platform development, pipeline priorities, and business objectives
• Develop and mentor a high-performing agentic AI team

Principal – Agentic AI

• Build, operate, and continuously improve automations across business functions
• Identify manual processes and implement automations that save time and reduce errors
• Monitor, troubleshoot, and resolve issues with deployed automations
• Prioritize and execute automation work under the direction of the Director of Operational Intelligence & Automation
• Build and maintain ERP, CRM, and enterprise-platform integrations
• Work with APIs, webhooks, JSON, and automation platforms such as n8n, Power Automate, and Make
• Manage AI tool integrations, connectors, and prompt libraries
• Build AI-powered workflows for document processing, data extraction, summarization, and decision support
• Develop, test, and refine prompts and instructions
• Configure AI assistants through MCP connectors, API integrations, or platform extensions
• Track AI usage, output quality, and cost
• Capture, measure, transform, and clean operational data from field and departmental sources
• Pull data from business systems and activate it through automations and AI workflows
• Partner with the central data-infrastructure team
• Support rollout, configuration, onboarding, and adoption of AI and automation tools
• Teach employees and department champions to use tools responsibly
• Create user-facing guides, documentation, and training materials
• Write Python scripts for data transformation, API calls, file processing, and custom logic
• Apply version control, error handling, and clear documentation
• Take ownership of automation health and improve workflows over time

AI Automation Specialist

• Build, operate, and continuously improve automations across business functions
• Identify manual processes and implement automations that save time and reduce errors
• Monitor, troubleshoot, and resolve issues with deployed automations
• Prioritize and execute automation work under the direction of the Director of OOIA
• Build and maintain ERP, CRM, and enterprise-system integrations
• Work with APIs, webhooks, JSON, and automation platforms such as n8n, Power Automate, and Make
• Manage AI tool integrations, connectors, and prompt libraries
• Build AI-powered workflows for document processing, data extraction, summarization, and decision support
• Develop, test, and refine prompts and AI workflow instructions
• Track AI usage, output quality, and workflow costs
• Capture, measure, transform, clean, and activate operational data
• Partner with the central data infrastructure team
• Support enterprise rollout, onboarding, adoption, and ongoing support for AI and automation tools
• Create user guides, documentation, and training materials
• Reinforce responsible-use and data-handling practices with IT
• Write Python scripts for data transformation, API calls, file processing, and custom logic
• Apply version control, error handling, and clear documentation

• Discover people, communities, and customers using AI in meaningful ways
• Evaluate the evidence, human significance, and audience relevance of opportunities
• Partner with Social, Community, and Communications on story discovery, creative ideas, programming, and distribution
• Create integrated campaigns, recurring content series, community activations, and partnerships
• Adapt stories, formats, messengers, and programs for local and national audiences
• Own briefs, creative development, production, timelines, budgets, partner coordination, launch, and optimization
• Lead work across social, owned, earned, experiential, community, and relevant paid channels
• Partner with Creative, producers, and agencies to create distinctive, engaging content
• Represent story participants accurately and thoughtfully
• Build internal and external partner networks and repeatable processes for sourcing, prioritizing, developing, and sharing stories
• Set goals for audience understanding, reach, engagement, sharing, and participation
• Use results and audience and participant feedback to improve stories, formats, and programs

Integrated Marketing Manager, AI Impact

• Provide operational leadership and support for applications running on Google Cloud Platform and Kubernetes/OpenShift
• Maintain and evolve knowledge of GCP services, networking constructs, and secure architecture patterns
• Guide teams in designing and implementing secure GCP solutions
• Lead High Availability and Disaster Recovery infrastructure design and implementation across Google Cloud and Ford data centers
• Apply LLM, RAG, MCP, and Agentic AI concepts to improve IT processes and drive automation
• Promote secure use of AI-powered IDEs such as Cursor and Claude within engineering teams
• Design and execute secure, production-grade solutions using Google AI services
• Partner with security engineering to implement controls protecting AI architectures and agents
• Embed SAST, SCA, IaC, DAST, and API security testing into delivery pipelines
• Ensure cloud, container, and AI solutions meet security, risk, and compliance standards
• Reduce infrastructure and AI token/consumption costs
• Develop and present operational, financial, and productivity metrics and dashboards
• Collaborate with application, infrastructure, security, architecture, vendor, and enterprise technology teams
• Mentor technical talent and serve as an escalation point for complex infrastructure issues
• Represent Ford Credit's cloud and AI infrastructure strategy in leadership forums

Director, Cloud & AI Infrastructure Operations

• Use Uplane's self-developed AI static ad engine to create and design static ads for paid social campaigns
• Develop new angles, hooks, and visual concepts
• Test creative concepts in live campaigns and focus on high-performing approaches
• Collaborate with marketing managers and creative designers to execute projects to a high standard and on time
• Provide feedback to product and engineering teams to help shape and improve the AI static ad engine

AI-Native Static Ad Designer

• Use Uplane's self-developed AI static ad engine to create and design static ads for clients' paid social campaigns
• Develop new angles, hooks, and visual concepts
• Test creatives in live campaigns and scale what performs
• Collaborate with marketing managers and creative designers to execute projects to a high standard and on time
• Provide feedback to product and engineering teams to shape and improve the AI static ad engine