Job Description
A Senior Value Engineer specializing in Healthcare Distribution and Logistics, responsible for developing AI-driven solutions to optimize complex supply chain processes, support client implementation, and demonstrate measurable business impact within healthcare distribution networks.
Key Responsibilities
- Understand client supply chain challenges and translate them into AI solutions.
- Lead technical discovery, capability demonstrations, and guide implementation during pre-sales and post-sales phases.
- Prototype AI solutions through hackathons to address inventory, fleet routing, procurement, and customer service issues.
- Support clients in achieving ROI from AI by enabling autonomous AI agents and process transformation.
- Execute end-to-end Proof-of-Value projects, integrating AI systems with enterprise systems and regulatory frameworks.
- Serve as a technical subject matter expert in Healthcare Distribution, sharing knowledge internally and externally.
Requirements
- Minimum of 5 years of experience leading technical pre-sales and post-sales engagements specifically within highly complex Supply Chain, Logistics, or Wholesale Distribution environments.
- Healthcare Pharma distribution experience is preferred.
- Deep understanding of supply chain business processes native to high-volume distribution such as Order-to-Cash, Procure-to-Pay, Inventory Management, Warehouse Operations, or Transportation Logistics, with the ability to translate high-level operational needs into specific AI use cases.
- Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases.
- Solid knowledge of Python and common ML libraries such as LangChain, pandas, pydantic, sklearn, PyTorch, as well as data engineering tools and technologies for handling massive, high-velocity transactional supply chain datasets.
- Strong presentation skills to both internal and external stakeholders including supply chain executives, warehouse directors, and enterprise IT leaders, whether leading technical whiteboarding sessions or formal readouts and demos.
- Bachelor’s Degree in computer science, supply chain management, logistics, engineering, mathematics, or related fields is required.
- Master’s Degree in computer science, supply chain management, logistics, engineering, mathematics, or related fields, or equivalent work experience, is preferred.
- Familiarity with distribution-specific systems and standards e.g., Manhattan, Blue Yonder, SAP EWM, and DSCSA track-and-trace serialization data, is a plus.
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages is a plus.
- Experience in deploying and monitoring models at scale across major cloud platforms such as AWS Bedrock, Azure AI, or GCP Vertex is a plus.
- Ability to define AI roadmaps, build ROI and TCO business cases for large-scale distribution networks, and guide technical implementations through to value realization.
- Ability to lead technical discovery and capability demonstrations during pre-sales cycles and guide implementation post-sale to ensure value, efficiency, and adoption thresholds are successfully reached.
Benefits & Perks
Compensation/salary range: 131,000 - 154,000 USD
Work schedule: Full-time, hybrid work model, flexible PTO, unlimited PTO in applicable regions
Work environment perks: Inclusive parental leave policy (24 weeks paid leave for primary carers, 12 weeks for supporting carers), subsidized Wellhub memberships, mental health counseling, Wellness Weeks, paid volunteer days (Impact Days), inclusion activities (Inclusion Think Tank, Inclusion Days), access to learning and mentorship programs
Additional benefits: Restricted Stock Units (RSUs), merit-based refresh grants, health/dental/life insurance, 401k, paid time off, global inclusion initiatives, sustainability participation, mission-driven organization
Ready to Apply?
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