Senior AI/ML Engineer
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Job Description
- Lead design, development, testing, deployment, maintenance, and continuous improvement of AI/ML solutions
- Serve as technical lead for complex AI/ML initiatives with end-to-end implementation ownership
- Build responsible AI solutions and reusable service components complying with enterprise standards
- Develop AI/ML-enabled features including Generative AI, predictive analytics, automation, chatbots, conversational AI, and intelligent workflows
- Champion AI/MLOps best practices for production readiness, monitoring, observability, resilience, and continuous improvement
- Drive modern engineering practices including automation-first development, code reuse, observability, test automation, CI/CD, operational excellence, and AI DLC adoption
- Partner with product management, architects, engineering leadership, and technology teams to deliver scalable AI solutions aligned with business objectives and enterprise AI strategy
- Create and maintain comprehensive solution, integration, and network architecture diagrams for AI/ML solutions
- Enforce and promote enterprise security, privacy, compliance, and quality standards within AI/ML solutions
- Accountable for high-quality software deliverables including maintainable code, reliable services, clear documentation, production readiness, and measurable operational outcomes
- Mentor, guide, and train engineers and team members on AI/ML technologies, engineering patterns, frameworks, MLOps, and responsible AI practices
- Use enterprise-approved AI tools to streamline engineering workflows and support continuous improvement
- Collaborate with cloud, platform, and modernization teams to integrate AI capabilities into cloud-native, digital-first, and enterprise-scale technology solutions
- Exercise independent judgment to prioritize, plan, and manage AI-related engineering activities, dependencies, risks, and delivery commitments
- Communicate complex AI/ML concepts, solution options, technical tradeoffs, risks, and results to technical teams, business stakeholders, and senior leadership
- Evaluate emerging AI/ML technologies, frameworks, patterns, and industry trends to inform solution design and drive enterprise innovation