Jocelynn Hartwig
Director, AI Solution Engineering
Fort Wayne, Indiana, United States
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Jocelynn Hartwig is a Director of AI Solution Engineering at Microsoft, where she works with federal organizations to transform complex challenges into AI-powered solutions. Her career has taken her from software engineer to AI architect to engineering leader, giving her a practical perspective on what it really takes to move AI from prototype to production.
She has spoken internationally on generative AI, cloud architecture, and modern software engineering, and is passionate about making advanced technical concepts approachable for developers, architects, and technology leaders alike. Whether she's discussing agentic AI, enterprise architecture, or AI strategy, her sessions focus on lessons learned from building real systems—not just theory.
Beyond her day job, Jocelynn founded Marginal Entropy, a nonprofit that creates pathways into technology for underserved communities through STEM education and mentorship. She believes the future of AI depends as much on the people building it as the technology itself.
Area of Expertise
Topics
Using AI on Purpose: Solving Problems That Actually Matter
AI can generate code, automate tasks, and speed up workflows, but it doesn’t know what matters. That’s your job. This talk explores how to stay intentional in a world of smart tools: choosing problems worth solving, shaping agent behavior with care, and staying accountable for the outcomes. We’ll look at real-world examples, technical and non-technical, where AI helps amplify impact, and where it risks introducing noise, bias, or harm. Whether you’re building, collaborating, or experimenting, you’ll leave with a clearer sense of how to use AI to move the needle, not just move fast.
The 60-Minute Agent — Fast Web Prototyping with AI in the Loop
Give us an hour and we’ll give you a working agentic web app prototype. We’ll assemble a minimal chat UI, define tool-calling agents, and deploy to the cloud, narrating how AI pair programming speeds up the connective tissue so you can focus on design and behavior. Expect practical patterns for function calling, context strategy, and streaming responses, plus a clear view of what’s demo‑safe versus production‑ready. It’s a fast, honest look at building with AI in the loop, what works, what breaks, and how to ship a compelling prototype without pretending it’s ready for scale.
Navigating the Future: Strategies for Implementing AI Projects in the Federal Government
As artificial intelligence continues to revolutionize various sectors, the federal government recognizes the immense potential of AI-driven solutions to enhance public services, streamline processes, and drive innovation. However, bringing AI projects to the federal landscape presents unique challenges and considerations. This panel discussion brings together influential federal AI leaders and experienced consultants to explore effective strategies for successfully implementing AI initiatives within the government sector.
The panelists will delve into critical topics, including navigating regulatory frameworks, technical experimentation, ensuring data privacy and security, fostering collaboration between government agencies and private sector partners, and addressing ethical concerns surrounding AI adoption. They will share insights on best practices for project planning, stakeholder engagement, and risk management, drawing from their experience in spearheading AI projects at the federal level.
Leading with Ethics: A Practical Guide to Deploying AI Assistants in Public Service
As public agencies increasingly consider integrating AI Assisted Productivity tools like ChatGPT and GitHub Copilot, navigating the ethical challenges that come with these technologies becomes crucial. This session delves into four essential pillars of responsible AI use tailored for technical leaders in the public sector: Ethical Transparency, Data Privacy & Security, Fairness & Equity, and User Literacy and Training. Attendees will learn how to understand the ethical implications of AI-generated outputs, ensure data safety, examine algorithms for potential biases, and effectively prepare their teams to use these tools responsibly. Designed specifically for tech leaders who are keen but cautious about embracing these new technologies, this session offers actionable insights for achieving not just operational efficiency but also ethical integrity in government activities.
DevSum 2026 Sessionize Event
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