Security Engineer – Architecture
Lambda
AWSAzureCloudGoGoogle Cloud PlatformLinuxPython
Director, AI and Innovation
MediSpend
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
Lead
Tech Stack
AWSAzureCloud
About the role
- Define and own the AI roadmap across all products in collaboration with Engineering, Product, and Business stakeholders.
- Identify, evaluate, and prioritize AI/ML use cases that drive measurable business value.
- Guide design and implementation of AI-powered features, ensuring scalability, security, and ethical considerations.
- Partner with Data Engineering and Product teams to ensure the right data pipelines and infrastructure are in place to support AI initiatives.
- Act as a thought leader in innovation — continuously scanning the horizon for new tools, frameworks, and emerging technologies (AI, automation, GenAI, NLP, analytics, cloud-native, etc.).
- Run innovation workshops and hackathons with engineering and product teams to surface and validate new ideas.
- Drive proof-of-concepts (POCs) and pilots, converting promising ideas into production-ready features.
- Build partnerships with external vendors, research organizations, or startups to explore and integrate new solutions.
- Work closely with Product Management to align AI initiatives with customer needs and product strategy.
- Partner with Engineering teams to integrate AI models and tools into existing architectures.
- Collaborate with Security, Compliance, and Legal to ensure AI/ML implementations meet regulatory and ethical standards.
- Evangelize innovation and AI opportunities across the organization, acting as a bridge between technical and business stakeholders.
Requirements
- 6+ years of experience in software engineering, data science, or AI/ML roles, with at least 3+ years in a strategic role.
- Expertise in machine learning, natural language processing, generative AI, and modern AI toolchains.
- Experience with cloud platforms (AWS, Azure) and modern data/AI infrastructure.
- Proven track record of delivering AI/innovation projects from concept to launch.
- Understanding of MLOps practices, model lifecycle management, and responsible AI principles.
- Excellent communication skills with the ability to influence both technical and non-technical stakeholders.
- Strong understanding of IP or data sharing implications for LLM training/prompting data uploads
- Strong understanding of the operational financial model for using LLMs, used to inform product pricing and/or product feature design.
- Prior experience leading an AI/Innovation lab or workstream within a product engineering organization (preferred).
- Background in SaaS, Life Sciences, or compliance-driven industries (preferred).
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