Provides technical leadership on highly complex technology, data, automation, artificial intelligence (AI), machine learning (ML), and enterprise application initiatives. Serves as a subject matter expert and technical thought leader responsible for defining system scope, objectives, architecture, and solution design for software applications, intelligent automation, advanced analytics, and AI-enabled business capabilities. Designs, develops, and implements scalable solutions including enterprise applications, automation workflows, machine learning models, Retrieval-Augmented Generation (RAG) pipelines, generative AI solutions, intelligent agents, and data-driven decision support systems. Evaluates emerging technologies and recommends innovative approaches that improve operational efficiency, business outcomes, and user experience while ensuring scalability, security, governance, and maintainability.
Leads the analysis, design, development, testing, deployment, monitoring, and continuous improvement of complex applications and AI-driven solutions.
Prepares detailed functional and technical specifications, solution architectures, data models, and implementation roadmaps.
Responsible for program design, coding, testing, debugging, documentation, and quality assurance while maintaining expert knowledge of software engineering, cloud platforms, data engineering, AI/ML technologies, large language models (LLMs), vector databases, semantic search, and intelligent automation frameworks.
May lead multiple concurrent initiatives, provide technical guidance and mentorship to other technical resources, establish best practices, conduct architecture and quality reviews, and drive adoption of innovative technologies that support enterprise transformation and business objectives.
Strong candidates can delivery on this roadmap:
30 Day - Tech Stack Roadmap + AI Pipeline Identified
60 Days - Architecture Guidelines/Best Practices + Working POCs
90 Days - Deployed Agent/AI solutions
Reason for opening: We’re getting in AI & Agentic development and integration on the team, The business is hungry for automation and AI solutions, And we’ve got >1 Year worth of AI pipeline that needs to be vetted.
Project:
AI Use Case Pipeline/Agentic Development for internal Stryker users. Mainly Customer Service
Must have:
+4 years for everything
Generative AI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)