Innovation Strategist & Agentic AI Systems Architect
Role details
Job location
Tech stack
Job description
We are seeking a highly experienced Innovation Strategist & Agentic AI Systems Architect to lead the development, deployment, and long-term evolution of enterprise-grade AI solutions. This role is responsible for defining scalable AI system architectures, driving strategic AI/ML initiatives, and guiding a multidisciplinary technical team in delivering mission aligned, production-ready capabilities. The Innovation Strategist & Agentic AI Systems Architect will design and govern modern AI architectures-including agentic systems, Large Language Model (LLM) workflows, Retrieval Augmented Generation (RAG), and orchestration frameworks-while ensuring security, reliability, and integration with enterprise platforms and SAP environments. The role requires strategic leadership, hands-on technical expertise, and close collaboration with Functional, Development, DevOps, and business partners to translate complex requirements into operational, high-impact AI solutions., * Define and oversee end-to-end architecture for agentic and LLM-driven AI systems, including orchestration layers, vector search, memory modules, evaluation frameworks, and monitoring
- Lead cross-functional teams in delivering scalable AI/ML solutions, ensuring alignment with organizational objectives and technical standards
- Guide the development and deployment of cloud-native AI components across AWS, Azure, or GCP, integrating with enterprise data platforms and SAP-based processes.
- Establish model governance practices, including evaluation protocols, prompt management, traceability, and continuous monitoring.
- Collaborate with DevOps, data engineering, and product teams to translate business requirements into maintainable, distributed AI solutions
- Drive innovation strategy, identify emerging technologies, and influence long-term AI/ML roadmaps and organizational change
- Foster a culture of experimentation, continuous improvement, and technical excellence
Requirements
- Extensive experience architecting and deploying agentic or LLM-based AI systems at enterprise scale
- Strong background in AI/ML development, data engineering, distributed systems, and API/microservice design
- Proficiency in Python and modern AI/ML frameworks; experience with cloud platforms (AWS, Azure, GCP)
- Demonstrated ability to lead technical teams and translate complex requirements into actionable architectures
- Hands-on experience with model evaluation, RAG, vector search, orchestration layers, reliability engineering, and MLOps practices
- Experience integrating AI solutions with enterprise data ecosystems and SAP workflows
- Excellent communication, leadership, and stakeholder management abilities
- US citizenship required, * Prior experience guiding organizational transformation or innovation initiatives in mission-driven environments
- Advanced degree in Computer Science, Engineering, Data Science, or a related discipline
- Certifications in SAP, ServiceNow Development, or SAFe (or willingness to obtain).