What You'll Do

Build AI That Actually Gets Used

• Design and deliver AI-powered capabilities that solve meaningful business problems.

• Develop solutions using large language models, retrieval-augmented generation (RAG), autonomous agents, semantic search, and other modern AI techniques.

• Own technical architecture from prototype through production deployment.

• Create reusable platform capabilities that accelerate future AI development.

Lead Through Engineering Excellence

• Serve as a technical leader and trusted advisor across multiple teams.

• Mentor engineers and help raise the overall technical bar.

• Drive engineering best practices around architecture, testing, deployment, observability, and operational excellence.

• Conduct design and code reviews while helping teams navigate complex technical decisions.

Explore What's Next

• Evaluate emerging AI technologies, frameworks, and approaches.

• Rapidly prototype new ideas and determine where they can create real value.

• Bring a practical mindset to innovation—separating hype from opportunity.

• Help define the organization's long-term AI engineering strategy.

Build for Scale

• Design cloud-native systems capable of supporting enterprise-scale usage.

• Optimize performance, reliability, scalability, and operational costs.

• Develop integration patterns connecting AI capabilities to enterprise systems, knowledge sources, APIs, and workflows.

• Help establish standards and foundations that enable many teams to build on top of AI safely and efficiently.

Champion Responsible AI

• Ensure solutions meet security, privacy, compliance, and governance requirements.

• Define evaluation strategies that measure quality, accuracy, safety, and business impact.

• Help establish best practices for AI observability, monitoring, and risk management.

What We're Looking For

Required

• 8+ years of software engineering experience.

• 3+ years building or leading production AI/ML solutions.

• Strong experience with large language models, AI orchestration frameworks, vector search, RAG, and prompt engineering.

• Proficiency in Python and at least one additional modern programming language, preferrably C#/.Net

• Experience building cloud-native applications in Azure, AWS, or GCP.

• Strong understanding of software engineering fundamentals, system design, APIs, CI/CD, testing, and DevSecOps.

• Demonstrated ability to lead complex technical initiatives and influence across teams.

Nice to Have

• Experience building agentic or autonomous AI systems.

• Experience developing reusable AI platforms and shared services.

• Familiarity with model evaluation frameworks, fine-tuning, or advanced ML techniques.

• Experience building developer productivity or AI-assisted engineering solutions.

• Experience operating in regulated or highly governed environments.

• Open-source contributions, patents, technical publications, or conference speaking experience.

You'll Be Successful Here If You...

• Get excited about building things that don't exist yet.

• Can move comfortably between architecture diagrams, source code, and executive conversations.

• Know when to innovate and when to simplify.

• Enjoy mentoring other engineers and helping teams succeed.

• Care as much about outcomes as you do technology.

• Have a healthy skepticism of buzzwords and a passion for delivering real value.

Why This Role?

You'll have the opportunity to influence the direction of AI across an entire enterprise, work with cutting-edge technologies, solve genuinely difficult technical challenges, and help define how AI capabilities are built, governed, and scaled for years to come.

In short: you'll help build the platforms and capabilities that other teams will depend on to bring AI into their products, workflows, and everyday work.