Director, Generative AI & Platform

- This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required.  However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member.
* Champion adoption of cutting-edge generative AI techniques (LLMs, multimodal models, fine-tuning strategies).
* Drive responsible AI practices, model interpretability, and compliance with regulatory requirements.
* ** Customer Empathy:
** Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer’s shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience.
* ** Engineering Excellence:
** Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves pursuing and achieving high standards, best practices, innovation, and superior solutions.
* ** One Team:
** A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively.
* ** Owner’s Mindset:
** Owner’s Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business.
* PhD in Computer Science, AI, or related field with 10+ years in AI/ML engineering (preferred); or MS with 12+ years of experience.
* Minimum 5 years in senior leadership roles managing managers and large engineering teams.
* Proven track record in building enterprise level production-grade GenAI platforms and services and strong problem-solving skills
* In-depth knowledge and hands-on experience with LLM fine-tuning, model optimization, context graphs, automation, and advanced prompting strategies
* Deep knowledge of LLM lifecycle tools, distributed systems, and cloud-native architectures.
* Architect and implement enterprise-grade LLM-powered solutions, managing the full lifecycle from business requirements to production deployment, monitoring, and continuous optimization
* Design and develop multi-agent GenAI systems using state-of-the-art frameworks (Lang Chain, Llama Index) to orchestrate complex workflows across retrieval augmentation, data operations, and compliance verification
* Engineer robust Retrieval Augmented Generation (RAG) pipelines incorporating advanced techniques such as hybrid retrieval, reranking, query expansion, and contextual compression
* Implement parameter-efficient fine-tuning strategies (LoRA, QLoRA, PEFT) to adapt foundation models to domain-specific use cases while optimizing for inference costs and latency
* Develop intelligent routing and orchestration systems to manage conversation state across multiple specialized AI agents, ensuring seamless transitions between different system capabilities
* Build evaluation frameworks to measure and improve LLM performance across diverse metrics, including factuality, coherence, task completion, and alignment with business objectives
* Integrate LLM solutions with existing enterprise architecture, ensuring compliance with data security policies, authentication mechanisms, and transaction safety requirements
* Passion to solve problems and drive value-based transformative changes
* Ability to influence C-suite stakeholders and communicate complex technical concepts clearly.
* Experience in strategic planning, budgeting, and organizational scaling.
* Expertise in DAG-based orchestration (Airflow, Kubeflow), streaming architectures (Kafka/Kinesis), and microservices.
* Familiarity with responsible AI frameworks and compliance standards.
* Experience with multimodal AI,…