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Lead the design, development, and operational excellence of the organization's AI platform to enable agentic AI products and intelligent workflows. Collaborate with cross-functional teams to align platform capabilities with enterprise priorities and drive AI transformation.
Serve as the pre-sales technical lead for federal pursuits, guiding customers through the adoption of an AI Security Platform from discovery to technical win. Architect and deploy AI solutions in both SaaS and airgapped environments while building proof-of-concept applications to demonstrate AI defense.
Build and manage infrastructure, tooling, and documentation to optimize the effectiveness of AI coding agents across the engineering organization. This includes owning agentic development environments and creating MCP server integrations for internal systems.
Lead the transition of the CaseWorks platform into an AI-first system by personally designing and building foundational AI capabilities. Transition from a solo builder to a leader who scales the engineering team and modernizes legacy components into cloud-native services.
The role involves embedding with clients to translate complex fraud and compliance challenges into technical AI architectures. You will architect, train, and deploy custom AI agents and intelligent workflows into production environments.
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Lead the design and evolution of the AI operating system and orchestration engine to power agentic experiences across the platform. Manage and mentor a specialized pod of Product Managers while defining architectural standards for AI at scale.
Review and refine AI-generated content related to competition law, antitrust compliance, and regulatory assessments. Create real-world scenarios and case studies to improve the accuracy and application of AI models in legal workflows.
Review and refine AI-generated journalistic content to ensure accuracy, newsworthiness, and adherence to professional standards. Create realistic journalism scenarios and identify reasoning gaps in AI-generated newsroom outputs.
Review and enhance AI-generated content regarding pricing strategies, margin analysis, and competitive positioning. Create realistic scenarios and provide actionable feedback to improve the AI's reasoning and analytical rigor.
Review and refine AI-generated content regarding eIDAS2 and Qualified Electronic Signatures to ensure technical and regulatory accuracy. Develop realistic scenarios and workflows to train AI systems on digital identity and trust services.
Review and enhance AI-generated content regarding infrastructure optimization and systems architecture to ensure technical accuracy. Develop practical use cases and provide actionable feedback to improve how AI reasons about operational challenges.
Design and optimize chatbot flows and copy to engage and support customers in the German market. Analyze performance metrics and customer transcripts to improve AI-driven conversational experiences.
Design, build, and operate AI systems in customer-facing production environments to improve senior care. The role involves managing the full product lifecycle from discovery and experimentation to deployment and scaling.
Own the design, roadmap, and delivery of the AI Corps platform to scale AI specialist deployment into enterprise organizations. Partner with engineering and revenue teams to build feedback loops, define success metrics, and create AI enablement paths for corporate employees.
Lead the infrastructure layer for an AI platform, owning the agent runtime hosting environment and CI/CD pipelines. Manage the platform's observability stack and define environment strategies for sandbox, staging, and production.
Design and implement complex multi-agent orchestration logic and tool layers for a high-load financial analysis system. Optimize system performance through asynchronous processing, semantic caching, and automated evaluation pipelines using LangSmith.
Lead the vision, strategy, and delivery of AI-powered products across the healthcare claims lifecycle to reduce costs and improve payment accuracy. Architect and operationalize Agentic and Generative AI solutions while managing cross-functional teams and C-suite stakeholder relationships.
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Design and implement cloud-based SaaS services and AI capabilities for a Go-based medical device web application. Collaborate cross-functionally to deliver secure, scalable, and compliant healthcare software and internal tooling.
Lead complex data science projects to improve manufacturing processes and develop machine learning workflows from analysis to embedded deployment. Define data ingestion and governance standards while providing technical leadership and mentoring to team members.
Lead the development and scientific integrity of the AI-powered Jobs Engine to produce scalable job analysis insights. Act as the primary expert bridging I-O psychology and machine learning to ensure AI implementations are defensible and effective for employee selection and development.
Lead the end-to-end lifecycle of AI-powered healthcare products, focusing on generative AI and workflow automation. Partner with engineering and GTM teams to deliver enterprise-grade capabilities that drive measurable business value and customer adoption.
Build and deliver end-to-end AI and agent-first products, owning the full software stack from architecture to release. Collaborate with designers and product managers to define product concepts and prototype MVP iterations that align with organizational goals.
Assess the quality, safety, and accuracy of AI-generated responses using structured rubrics and human review. Act as a bridge between clients and technical teams to translate real-world use cases into measurable evaluation criteria.
Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations and automate clinical trial documentation generation. Design and develop predictive models and generative AI solutions using diverse healthcare data sources while ensuring compliance with regulatory requirements.
Provide senior technical leadership and expertise for AI and advanced analytics initiatives within the Commercial function. This includes evaluating AI solutions, guiding build vs buy decisions, and partnering with cross-functional teams to deliver scalable, compliant AI tools.
Lead the architecture and delivery of enterprise-grade LLM and agentic AI systems to transform claims and operational workflows. Design secure tool integration layers and implement deterministic guardrails to ensure AI reliability and compliance.
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Build a secure, unified internal AI platform and agentic harness that connects frontier AI tools to core infrastructure. Define security patterns for agent autonomy and develop orchestration layers for LLM tool-use.
The Senior Director will define and execute the data and AI engineering strategy across the R&D value chain, managing a high-performing team to deliver scalable data and AI solutions. This role involves overseeing the implementation of AI use cases and ensuring adherence to governance standards.
Lead the SAFERpower.ai initiative to develop and deploy safe, accountable, and reliable AI frameworks within the electric power sector. Collaborate with R&D leadership and industry stakeholders to create risk assurance models and strategic research strategies for AI-enabled energy systems.
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