Python and AI/ML

Job Title

Role Descriptions: Technical/Functional Skills: Strong expertise in Python and AI/ML frameworks. Hands-on experience with Generative AI and LLMs (Azure OpenAI, prompt engineering, RAG). Experience in Intelligent Automation / RPA tools. Strong knowledge of AI-driven workflow orchestration and agent-based automation. Experience in API development, microservices architecture, and system integrations. Expertise in data pipelines, ETL processes, and structured/unstructured data processing. Experience with Azure cloud platform (AI services, app services, data services). Familiarity with MLOps / LLMOps frameworks (model deployment, monitoring, lifecycle management). Strong understanding of SDLC, Agile delivery, and DevOps practices. Domain exposure to life sciences/pharma processes (clinical, medical, patient services preferred). Strong stakeholder management, solutioning, and leadership skills.

Roles & Responsibilities: Lead design and implementation of AI and automation solutions across Lilly business functions (medical, clinical, commercial). Architect and build LLM-powered applications, AI agents, and intelligent automation frameworks. Drive end-to-end solution delivery (requirements, design, build, testing, deployment, scaling). Lead PoCs, pilots, and enterprise-scale rollouts of AI/automation initiatives. Define and implement best practices for AI architecture, MLOps, and reusable accelerators. Collaborate with business stakeholders, SMEs, and IT teams to identify transformation opportunities. Ensure solutions meet quality, performance, security, and compliance standards (GxP, HIPAA). Support client interactions, solution demos, and executive-level discussions.

Nice to have Skills: Experience in pharma-specific AI use cases (medical information, adverse event processing, protocol digitization). Exposure to Adobe (AEM/AJO), Salesforce Marketing Cloud, other platforms. Knowledge of vector databases, knowledge graphs, and semantic search. Experience with CI/CD pipelines, Docker, Kubernetes. Understanding of AI governance, explainability, and validation frameworks. Experience in process mining and workflow optimization. Ability to create dashboards, insights, and executive reporting (Power BI or similar).

Education: Bachelor's degree in computer science, Engineering, or equivalent experience.

Desirable Skills: Keyword: Skills: Data Warehouse Experience Required: 4-6 Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.