• Serve as Zencore’s senior-most technical authority on the practical application of advanced artificial intelligence and machine learning. • Partner with the sales and business development teams in a pre-sales capacity to scope opportunities, design solutions for proposals, and act as the senior technical voice in client pitches. • Lead the architecture and design of sophisticated, secure, and scalable AI solutions for our clients, moving beyond standard API integrations to create genuine competitive advantages. • Collaborate closely with Cloud & Data Architects to guarantee the design and deployment of comprehensive client solutions. • Address the growing European demand for private, data-sovereign AI by designing systems that meet strict GDPR and data privacy requirements. Strive for model explainability and bias mitigation, ensuring solutions adhere to ethical standards and European safety guardrails. • Architect solutions for hosting, fine-tuning, and optimizing both proprietary (e.g., Gemini, Claude) and open-source (e.g., Llama, Mistral) models on hyperscaler platforms. • Lead clients in selecting optimal cloud-native technologies, prioritizing Google Cloud solutions for deploying and scaling production-grade agentic systems. • Guide and mentor customers and Zencore's engineering teams on advanced topics, establishing best practices for high-performance training (PyTorch, JAX, TPUs), efficient model serving (vLLM), and complex agentic systems (LangGraph, Langchain, Google ADK). • Devise the financial architecture of AI solutions by performing ROI analysis and implementing cost-optimization strategies to ensure large-scale deployments remain economically sustainable for customers. • Act as an external thought leader, contributing to the Zencore brand through blog posts, conference presentations, and community engagement. • Act as a "player-coach," providing hands-on leadership and fostering a culture of deep technical excellence in AI/ML.

• Design, develop, and optimize machine learning and deep learning models for AI agent use cases. • Build intelligent systems capable of reasoning, prediction, automation, and decision support. • Apply NLP, data analysis, and agentic workflows to solve complex CX and operational challenges. • Manage, clean, and preprocess large datasets to extract meaningful features. • Train, evaluate, and fine-tune machine learning models to meet performance and reliability standards. • Continuously monitor and improve model accuracy, robustness, and efficiency. • Deploy AI models into production environments with a focus on scalability, performance, and reliability. • Collaborate on MLOps practices to support continuous integration, monitoring, and improvement. • Ensure AI systems integrate smoothly with existing platforms and workflows. • Work closely with data scientists, software engineers, product managers, and domain experts. • Translate business problems into effective AI solutions with measurable outcomes. • Contribute to solution design for enterprise pilots and long-term deployments. • Ensure AI solutions comply with ethical standards, data privacy requirements, and legal regulations. • Document models, algorithms, workflows, and decisions clearly for internal and external stakeholders. • Stay up to date with the latest AI research, tools, and best practices; and apply them where valuable.

• Use proprietary software to provide labels, annotations, and inputs on projects involving images and visual media. • Deliver high-quality curated data that captures visual nuances and enhances Grok's understanding of composition, lighting, color, and style.

• Design, develop, test, deploy, and support high performing, reliable, and scalable machine learning solutions• Clearly communicate technical details to technical and management teammates• Elevate the team’s talent and quality through active coaching and management• Manage prioritization ensuring the team is working on top priorities and maximizing value• Conduct customer discovery meetings to determine requirements• Lead creation of collateral including reference implementations and best practices, and training of sellers and partners in your area of specialization• Identify, validate, and grow opportunities to accelerate Azure consumption in high potential customer accounts, in partnership with the sales team, by driving solution architecture for Microsoft solutions.• Assist business development team with pre-sales activities and RFPs (Requests for Proposal)• Work with the sales team to support sales efforts from a technical perspective