• Own end-to-end delivery of AI & Automation projects across multiple clients and industry sectors, ensuring quality and timely execution. • Design and validate solution architectures for AI and automation initiatives, ensuring scalability, security, and compliance with regulatory standards. • Manage cross-functional teams, project budgets, and timelines to deliver successful outcomes. • Engage with client stakeholders to understand business challenges and propose AI-driven solutions that create tangible value. • Implement best practices and governance frameworks for AI deployments, including ethical AI and risk management. • Drive adoption of emerging technologies such as GenAI, LLMs, RAG, and advanced automation platforms. • Contribute to thought leadership through whitepapers, case studies, and participation in industry forums. • Support business development initiatives, including solution demos, proposals, and client presentations.

• Design and ship multi-step agentic systems (planner/executor, tool-using, multi-agent, human-in-the-loop) for onboarding, underwriting, case review, and continuous monitoring. • Architect agent graphs in LangGraph (or comparable — CrewAI, AutoGen, Claude Agent SDK) with explicit state, durable execution, retries, and safe fallbacks. • Build the retrieval layer powering our agents — chunking, hybrid search, reranking, and grounded citation. • Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow evals, and red-teaming for jailbreaks, prompt injection, and PII leakage. • Expose agents to production systems via well-typed tools and MCP servers. Treat tool surface area as a product. • Drive production MLOps: deployment, versioning, traffic shaping, cost/latency budgets, tracing, and on-call playbooks for agent incidents. • Partner with security and compliance to keep agents inside SOC 2, GDPR, CCPA, and fair-lending posture — auditability and explainability built in, not bolted on. • Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.

• Own and scale a modern cybersecurity program that safeguards critical systems while enabling rapid digital growth. • Operate as a hands-on leader, shaping both strategy and execution across cloud, SaaS, and enterprise environments. • Partner closely with IT, engineering, and business teams to embed strong security practices into everyday operations while building resilient systems that support long-term infrastructure growth. • Define, own, and scale Intersect’s cybersecurity program to support a fast-growing, cloud-first environment. • Establish security policies, frameworks, and controls aligned with business objectives and industry best practices. • Integrate security into system design, infrastructure, and operations. • Implement and manage security solutions across Okta, Google Workspace, GCP, SIEM platforms, and CrowdStrike. • Own incident response processes, leading detection, investigation, and resolution of security events. • Champion a culture of security awareness through training, communication, and cross-functional collaboration.

• Partner with business teams to identify automation opportunities, define clear requirements, and deliver solutions that improve internal and partner experiences. • Drive automations that shorten order-to-cash cycles, reduce manual touchpoints, and improve revenue accuracy and leakage prevention. • Measure, report, and communicate impact and ROI; gather stakeholder feedback and iterate to continuously improve solutions. • Test, deploy, and support automations in production; perform root-cause analysis and implement continuous improvements and incident remediation. • Lead end-to-end solution design and implementation using approved low-code/no-code platforms across Salesforce, EDI integrations, SAP ERP, and other business applications. • Architect and deploy advanced AI architecture patterns—including RAG, prompt engineering, agent orchestration, and secure API/tool integrations—ensuring scalability, observability, and governed data access. • Establish and enforce enterprise-grade governess and operational excellence: including testing, release management, monitoring, logging, access controls, and auditability for all automation and AI solutions.