Director, Applied AI Solutions, N.A. Commercial
$177,000–$260,000 year
On-siteCambridge, Massachusetts, United States
Job Summary
Define and lead the North America Commercial AI strategy, portfolio, and roadmap to drive business performance, customer engagement, and operational excellence. Build and deliver AI-powered workflows, agents, and applications for prioritized use cases including patient finding, HCP targeting, and next-best-action. Translate commercial business problems into technical solution designs and executable delivery plans using LLM, agentic AI, and retrieval-augmented generation technologies. Partner with Commercial, Data Science, Digital/IT, Legal, Compliance, and Privacy teams to drive governance, investment decisions, and solution adoption. Conduct structured evaluations of AI tools and vendor capabilities against defined business, technical, and compliance criteria. Manage the full lifecycle of AI solutions, ensuring alignment with enterprise standards, responsible AI requirements, and measurable value realization.
Required Qualifications
- Significant experience (10+ years) in software, machine learning, applied AI, or AI solution development, including a track record of delivering production solutions with measurable business impact
- Hands-on experience (typically 2+ years) building and deploying LLM/GenAI applications in production, including agentic workflows, RAG, grounding, and evaluation, delivered through frameworks or directly on foundation-model APIs
- Advanced hands-on proficiency in Python and SQL
- Experience building solutions using approved cloud AI/ML services
- Experience managing deployed AI solutions through monitoring, versioning, evaluation, quality controls, cost management, and CI/CD practices
- Demonstrated ability to translate ambiguous business needs into technical solutions and partner effectively with Commercial, Data Science, and technology stakeholders
- Experience owning an AI solution from use-case definition and development through adoption, performance measurement, and enhancement
- Advanced hands-on proficiency in Python and SQL
- Experience with APIs, integration patterns, containerization, and Git-based workflows
- Hands-on development of agentic AI and LLM applications, including orchestration, tool/function calling, RAG, prompt engineering, grounding, and evaluation
- Experience using frameworks such as LangGraph or LlamaIndex, or building directly on foundation-model APIs such as OpenAI, Anthropic, AWS Bedrock, or Azure OpenAI
- Experience building solutions with approved cloud AI/ML services
- Familiarity with vector databases and AI/LLM observability tooling such as LangSmith, Langfuse, MLflow, or equivalent
- Working knowledge of AI capabilities in NA data platforms, including Snowflake Cortex and Salesforce/Agentforce
- Practical experience with technical delivery controls, including model/prompt/agent versioning, CI/CD, monitoring, quality management, cost management, and performance optimization
- BA/BS in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience
- Fluent in English
Desired Qualifications
- NA Commercial pharma/biotech experience, ideally with use cases such as patient finding, HCP targeting, field insights, next-best-action, or Commercial workflow automation
- Familiarity with healthcare data, including medical and pharmacy claims such as IQVIA or Komodo, EHR, specialty pharmacy, and coding systems such as ICD, CPT, and NDC
- Experience evaluating AI vendors and approved data-platform capabilities, including Snowflake Cortex and Salesforce/Agentforce, for Commercial use cases
- Awareness of privacy, compliance, and responsible AI considerations in healthcare, including HIPAA, PHI/PII handling, and promotional review
- Advanced degree (MS/PhD) in a relevant field
- Cloud or machine learning certifications
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