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The Forward Deployed Engineer will partner with business stakeholders to rapidly build and deploy automation and data-driven AI solutions. This role involves full-stack engineering, including data pipelining, backend development, and creating interactive applications to solve complex business problems.
You will lead the team responsible for ML infrastructure, model operations, and AI quality to ensure AI features are reliable, observable, and deployable. This includes managing the model lifecycle, driving technical strategy for model providers, and fostering a high-performance engineering culture.
Lead the AI Platform organization to build and scale durable foundations for machine learning and agentic AI systems. Define technical strategy, establish platform standards, and foster a high-performing team to support mission-critical national security workflows.
Lead a senior team to build and manage the internal AI platform, including identity, cost attribution, and guardrails. Define the charter for Corporate Engineering and coordinate cross-functional efforts to enable safe and efficient AI adoption across the company.
You will own end-to-end client relationships, including strategy development, execution, and renewal for up to 10 accounts. You are responsible for setting the plan, ensuring the quality of all deliverables, and driving growth in visibility and revenue.
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You will design and implement multi-step reasoning pipelines for tool-augmented AI agents while integrating them with business systems. You will also own the full development lifecycle, ensuring the agents are scalable, secure, and compliant with real-world policies.
Lead and mentor a team of software engineers while driving the technical strategy for multi-agent systems and AI integrations. Collaborate cross-functionally with Product, Platform, and Data Science teams to embed AI capabilities across the Atlassian ecosystem.
The AI Strategist acts as a bridge between technical teams and executive leadership to ensure strategic alignment and project fluidity. They are responsible for structuring strategic narratives, managing stakeholders, and overseeing the governance of complex AI initiatives.
You will lead the development of core AI infrastructure and integrate LLM-based features into a high-traffic social media platform. This role involves owning services end-to-end, from schema design and deployment to monitoring for performance and safety.
The AI Systems Engineer will design, optimize, and deploy machine learning models for resource-constrained edge devices. This role involves implementing model compression and hardware-aware optimization to ensure reliable AI performance outside of data centers.
The AI Governance Engineer will lead the design and implementation of security controls, threat models, and incident response capabilities for AI and machine learning systems. This role focuses on mitigating risks such as prompt injection, model abuse, and data exfiltration within LLMs and AI infrastructure.
You will lead the development of detection capabilities and AI workflows to enhance Elastic Security's threat research and defense mechanisms. This involves investigating multidomain threat vectors and presenting findings to improve team knowledge and community awareness.
Analyze course performance metrics and student feedback to identify and implement necessary content updates. Maintain and patch classroom workspaces and project starter code to ensure compatibility with evolving technologies.
You will drive the next generation of the procurement and P2P platform by integrating AI-native features and automation. You are responsible for defining the product vision, managing the roadmap, and collaborating with engineering and data teams to deliver scalable solutions.
The Associate Key Account Director will cultivate and expand partnerships with biopharmaceutical clients to support their research, clinical, and commercial programs. This role involves identifying high-potential contacts, communicating the value of the Tempus precision medicine platform, and coordinating cross-functional teams to meet revenue goals.
Lead a team of solutions architects and engineers to design, debug, and deploy AI hardware and software technologies in customer data centers. Act as a senior technical point of contact while partnering with product and sales teams to influence product roadmaps and ensure high-quality delivery.
You will serve as a technical advisor to engineering software developers, helping them integrate NVIDIA's accelerated computing, Omniverse, and physics-ML into their simulation pipelines. Additionally, you will partner with sales and business development teams to drive ecosystem success across industrial engineering accounts.
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The Staff Data and AI Platform Engineer will define the multi-year architecture vision and roadmap for the enterprise data platform while ensuring reliability, security, and cost efficiency. They will drive technical alignment across domain teams and lead the integration of emerging AI/ML technologies into the platform infrastructure.
You will own the end-to-end development of AI-native systems, from data foundation design to production deployment. This involves building full-stack applications and orchestrating complex AI workflows to solve real-world client problems.
You will lead the product vision and strategy for personalization systems and a new customer-facing AI experience powered by LLMs. This involves collaborating with cross-functional teams to build adaptive, intelligent food experiences that drive retention and conversion.
The AI Clinical Solutions Specialist ensures that AI agent deployments are clinically safe, operationally efficient, and provide measurable value to patients and healthcare organizations. They act as a clinical expert and patient advocate, facilitating cross-functional alignment between technical, clinical, and business teams.
You will lead and develop a team of engineers in Colombia while owning the end-to-end delivery of AI systems across multiple client engagements. You will also serve as a strategic partner to the Head of AI Engineering to define technical direction and maintain high quality standards.
You will own the integrations product roadmap and lead business development efforts, including vendor negotiations and partnership management. You will also collaborate with engineering teams to translate business requirements into technical specifications and oversee the successful launch of new integrations.
You will identify high-value internal workflows for AI integration and build, test, and scale these solutions to improve operational efficiency. You will partner with cross-functional teams and engineering to translate company priorities into a practical portfolio of internal AI products.
You will serve as a customer-facing AI and Cloud Solution Architect to drive the deployment, adoption, and governance of Copilot and AI agent solutions. The role involves acting as a trusted technical advisor to help clients identify high-value use cases and translate AI investments into measurable business outcomes.
Design, build, and deploy production-grade AI solutions including LLMs, RAG pipelines, and agent-based systems. Collaborate with cross-functional teams to translate business requirements into scalable technical architectures and reusable AI components.
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The AI Governance Engineer will draft and iterate AI standards, engineer testable controls, and build obligation-to-evidence mappings. They will also support audit-response packages, manage exceptions, and document governance processes for operational handover.
Recruitment consultants will write detailed, honest accounts of their professional processes to help train AI models. This involves documenting specific tasks like sourcing or full-cycle searches with depth and clarity.
Create short, narrated screen-capture video lessons demonstrating generative AI tool tasks for college-level courses. Structure video content effectively with clear setup, logical sequencing, and actionable takeaways for non-technical learners.
The AI Solutions Architect will collaborate with the sales team to conduct technical consultations, product demonstrations, and proof of concept projects for AI security solutions. They will also design customized security architectures and provide ongoing technical support and training to clients.
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