Senior Lead Software Engineer- Python AI

Job Responsibilities

• Enhance multiple products across the product line by identifying, prioritizing, and delivering AI-driven features that improve user experience, efficiency, and operational resilience
• Design, build, and deploy production-grade AI applications including LLM-powered workflows, Retrieval-Augmented Generation (RAG) solutions, and agentic systems
• Build agentic workflows with enterprise-ready controls (identity, authorization, guardrails, tracing, evaluation, and auditability)
• Develop automation solutions that reduce manual effort and eliminate recurring operational issues, including self-healing patterns and intelligent triage
• Architect AI systems with production concerns in mind: latency, scalability, cost management, model selection, observability, reliability, and failure modes (including hallucinations and tool errors)
• Establish and apply AI engineering standards across the product line (prompting patterns, RAG design standards, evaluation practices, logging/telemetry, and release readiness criteria)
• Drive AI architecture reviews and contribute to reference architectures for model hosting, orchestration, data access, and secure tool execution
• Identify and mitigate risks across the AI lifecycle including data privacy, security, bias, model misuse, prompt injection, and third-party/vendor risk, and ensure appropriate documentation and controls
• Partner with product, design, risk, legal/compliance, and engineering stakeholders to align on outcomes, constraints, and measurable success metrics
• Lead technical evaluations with vendors and platform providers; assess capabilities, integration fit, security posture, and total cost of ownership
• Research emerging AI capabilities (models, frameworks, tools) and translate findings into practical guidance, prototypes, and adoption recommendations
• Educate and enable teams through documentation, workshops, design reviews, and coaching to raise AI fluency and delivery consistency across the organization
• Execute creative software solutions, technical troubleshooting, and hands-on development; write secure, high-quality production code and review/debug code written by others
• Influence stakeholders and drive alignment across teams without direct authority, owning outcomes end-to-end

Required Qualifications, Capabilities, and Skills

• Formal training or certification in software engineering concepts and 5+ years of applied engineering experience
• Hands-on experience delivering AI-powered features in production or near-production environments (LLMs, RAG, agents, workflow automation, or decision support systems)