p>Transform Delivery Through Agentic Workflows Lead adoption of agentic workflows and AI-first delivery models across client delivery teams Build shared services, accelerators, and reusable patterns that materially reduce delivery timelines Measure and continuously improve delivery efficiency, quality, and consistency Ensure agentic systems are reliable, maintainable, and applied with clear leverage Define and scale AI-assisted development practices (Cursor, Windsurf, agent frameworks) Partner closely with delivery teams to understand friction points and build solutions that drive adoption Build Investment Cases & Drive Strategic Alignment Develop compelling business cases for technology investments in agentic systems and AI infrastructure Quantify impact through metrics like delivery time reduction, quality improvements, and team velocity gains Communicate technical strategy and ROI to senior leadership and stakeholders Influence resource allocation and prioritization across competing initiatives Translate technical capabilities into business value that resonates with non-technical audiences. 10+ years of engineering experience, including leadership of high-performing teams Experience building and operating production AI, ML, or data-driven systems Strong software architecture and technical judgment Track record of improving delivery velocity and engineering maturity through platform or tooling investments Proven ability to build investment cases and secure buy-in for technology initiatives Strong influential communication skills-ability to communicate technical concepts to both technical and non-technical audiences Experience with modern AI stacks, including LLMs, agent frameworks (LangChain, LangGraph), and ML platforms Strong Python experience; familiarity with JavaScript and TypeScript Experience with Databricks, MLflow, and modern data platforms Understanding of traditional ML and how it complements generative AI.