• Identify, qualify, and shape high-impact AI and automation opportunities across diverse business functions • Formulate robust automation roadmaps aligned with Global Business Services (GBS), Shared Services, and enterprise-wide transformation agendas • Conduct rigorous process assessments to identify high-value use cases for artificial intelligence and automation • Direct the design, development, and deployment of sophisticated automation solutions, including RPA, AI/ML workflows and ID • Ensure all technical solutions are highly scalable, secure, sustainable, and strictly aligned with overarching business objectives • Drive measurable cost reduction, operational efficiency, and service optimization through targeted automation initiatives • Construct robust business cases, establishing clear governance frameworks to track ROI and realize tangible business benefits • Seamlessly integrate automation strategies into broader, multi-functional enterprise transformation programs • Partner closely with business unit leaders, IT organizations, and executive leadership teams to align technology with business strategy • Translate complex technical capabilities into compelling, value-driven business propositions for non-technical stakeholders • Serve as a subject matter expert and trusted advisor on intelligent automation strategy and enterprise AI adoption • Establish and refine automation frameworks, operating models, governance structures, and industry best practices • Mentor cross-functional teams and build sustainable automation capabilities for both internal teams and client organizations • Maintain a forward-looking understanding of emerging trends, tools, and methodologies in AI, machine learning, and digital transformation

• Bring novel ideas and the content of scientific papers into high-performing and robust scientific code. • Lead the ideation, benchmarking, and execution of complex datasets and ML models, ensuring seamless integration into our large-scale simulation frameworks. • Drive software through the entire product lifecycle—from foundational research and implementation to launch and long-term support—ensuring technical excellence at every stage.

• Produce a high volume of content across formats - short-form video, long-form YouTube, static and video ads, LinkedIn posts, written pieces, landing page and email creative - using AI tooling to multiply your output well beyond what a traditional content team can match. • Build the factory: repeatable systems and workflows (AI tooling, templates, freelancers, repurposing pipelines) so content scales without linearly scaling headcount. • Run and optimize paid ads directly off the content you create (Meta, LinkedIn, Reddit, and beyond) - launch, test, read the data, iterate, kill losers, scale winners. • Turn our raw material - product stories, customer wins, founder POV, data insights - into a constant stream of native, on-brand content. • Move fast and ship daily, treating volume plus iteration speed as the advantage.

• Architect, build, and maintain AI‑first web and mobile applications using modern frameworks and engineering best practices. • Lead the development of AI‑powered features using Python, LangGraph, and modern LLM tooling. • Design and implement agentic workflow applications, including orchestration, tool use, stateful flows, and human‑in‑the‑loop patterns. • Develop end‑to‑end solutions across the front end, back end, APIs, and cloud infrastructure. • Write clean, scalable, and maintainable code in TypeScript (Node), JavaScript (React), and Python using established design patterns. • Optimize applications for speed, scalability, reliability, and long‑term maintainability. • Work closely with cross‑functional teams to define, design, and ship new features with strong ownership of outcomes. • Provide architectural guidance, code reviews, and mentorship to engineering teams. • Partner with clients to lead demos, support rollout discussions, and ensure successful adoption of AI‑powered solutions.