• Create engaging, high-quality video content for multiple client projects using AI tools like Runway, Pika Labs, Synthesia, or Kaiber • Transform briefs, scripts, and creative prompts into impactful short-form and long-form video content • Collaborate with Awesomic team members and client stakeholders on marketing, product, and brand-related video materials • Iterate quickly based on client feedback and deliver work aligned with various brand styles and goals • Continuously explore new AI video tools and approaches to enhance creativity and production speed

• Rastrear y evaluar avances en modelos de base, marcos de agentes, y técnicas de gestión de memoria • Propietario de la estrategia para selección de LLMs y gestión del ciclo de vida • Diseñar la capa de enrutamiento semántico para detección de intenciones y clasificación de tareas • Establecer patrones de arquitectura para agentes autónomos

• Participate in active client AI projects as the hands-on AI specialist • Design and build AI agent workflows, prompt chains, and orchestration logic • Develop and refine prompts for specific business use cases (prompt engineering) • Analyze existing client workflows and identify opportunities for AI enhancement • Create working prototypes and proofs-of-concept to validate approaches • Collaborate with developers on implementation handoff and technical specifications • Support presales engagements with AI solution proposals and feasibility assessments • Conduct business domain analysis to identify where AI creates genuine value • Translate client business problems into AI-addressable solutions • Prepare demonstrations and prototype artifacts for client presentations • Provide input on effort estimation for AI components of proposals • Monitor AI news, model releases, tool updates, and emerging techniques • Evaluate new AI platforms, frameworks, and services for potential adoption • Experiment with new approaches and share findings • Document patterns, techniques, and lessons learned from project work • Contribute to internal knowledge bases and training materials • Design agentic workflows using orchestration frameworks (e.g., n8n, LangGraph, custom pipelines) • Optimize existing business workflows by introducing AI capabilities • Define conversation flows, tool usage patterns, and handoff logic for AI agents • Specify context management, memory strategies, and retrieval patterns

• Build and maintain trusted relationships with senior executives within P&C insurance organizations including Chief Claims Officers, Chief Data Officers, and underwriting leaders. • Develop deep understanding of client priorities across claims automation, underwriting optimization, fraud detection, risk modeling, catastrophe analytics, and regulatory compliance. • Serve as a strategic advisor guiding clients through AI adoption decisions, from use case scoping through production deployment and model governance. • Lead executive conversations on how AI — and specifically human-in-the-loop approaches — can improve efficiency, accuracy, and defensibility in insurance workflows. • Navigate complex multi-stakeholder environments: actuarial, claims, IT, legal/compliance, and data science functions often have divergent priorities; you’ll need to align them. • Proactively identify expansion opportunities within accounts; map and cultivate economic buyers and champions. • Drive new logo acquisition and account expansion within large enterprise P&C insurance across major US and European markets. • Develop strategic account plans with clear expansion paths from initial use case to enterprise-wide AI program. • Lead commercial engagements end-to-end: discovery, proposal development, commercial structuring, and executive presentation. • Partner with internal teams to shape consulting engagements tailored to insurance operations. • Understand P&C procurement dynamics, including RFP processes, vendor risk management, data governance and residency requirements, and regulatory constraints — and navigate them effectively. • Identify high-impact AI use cases across the P&C value chain, including: claims document processing and intelligent document understanding; aerial and satellite imagery analysis for property assessment; NLP for policy, coverage, and regulatory text; underwriting data enrichment and risk model validation; FNOL automation and subrogation workflows. • Conduct discovery sessions and workshops to identify opportunities for AI-driven transformation across insurance value chains. • Translate client operational and regulatory challenges into compelling AI solutions involving data annotation, machine learning model development, and automation pipelines. • Collaborate with data scientists and engineering teams to ensure successful project execution. • Ensure timely delivery, scope, and client satisfaction throughout project lifecycles. • Stay informed on emerging trends in AI within insurance, including risk modeling, intelligent document processing, and fraud detection. • Contribute to external visibility through participation in industry events and client workshops, positioning the company as a trusted AI consulting partner. • Demonstrate expertise in the regulatory landscape shaping AI in insurance: state DOI guidelines, NAIC model bulletins, EU AI Act implications for European carriers, and model risk management frameworks. • Lead cross-functional teams of consultants, data scientists, and engineers. • Foster collaboration and innovation across delivery teams. • Support knowledge sharing and best practices in AI consulting engagements.