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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI and agentic solution engineering, including rapid prototyping, model fine-tuning, and integration of AI technologies. Proficient in collaborating across diverse stakeholders to deliver production-quality AI applications and ensure effective deployment.
Highest-signal resume keywords
Production-Quality PythonAgentic EngineeringMLOps and LLMOpsSmall Language Model Fine-TuningCI/CD Deployment
ATS Keywords
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Hard Skills
AI EngineeringRapid PrototypingModel/API IntegrationPrompt EngineeringContext EngineeringEvaluation and GuardrailsData PreparationFine-TuningDistillationOrchestration
Soft Skills
CollaborationStakeholder EngagementProblem-Solving
Tools & Technologies
Vector DatabasesEmbeddingsRe-RankersAI PlatformsData Engineering
Industry Keywords
AI SolutionsAgentic SolutionsPrototypesMVPsMatrixed Environment
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Design, build and integrate AI and agentic solutions, including rapid prototypes, proofs of concept and validated MVPs
- Engineer agentic applications and RAG pipelines involving retrieval, model/API integration, orchestration, prompt/context engineering and human-in-the-loop workflows
- Contribute to small language model and domain model development through data preparation, fine-tuning, distillation and evaluation
- Build the AICL AI layer with D&T Data Engineering & Semantics and GCA DSM
- Build evaluation, testing and guardrails to prove feasibility, quality and safety before scale
- Partner with the AI Product Owner to translate requirements into working solutions and iterate on feedback
- Surface constraints, effort and risk to inform scale or stop decisions
- Prepare documented handovers to D&T and PIC, including architecture notes, evaluation evidence and known limitations
- Apply model-cost/cost-per-outcome awareness in design and model choices
- Contribute reusable patterns, components and sample agents to the China AI platform and builder community
- Work in the AITO AI engineering pool under the AIT Acceleration Lead and collaborate with product, technology, data, governance, business units and engineering communities
- Deliver working, evaluated prototypes and MVPs, reusable assets and clean handovers that accelerate production engineering
Requirements
What you’ll need- Hands-on AI/software engineering, including rapid prototyping, applied development and integration of AI and agentic solutions
- Production-quality Python
- Agentic and RAG engineering: embeddings, re-rankers, vector databases, model and API integration, orchestration, prompt and context engineering, evaluation and guardrails
- Working knowledge of small language model fine-tuning and evaluation
- Working knowledge of MLOps and LLMOps
- Working knowledge of CI/CD and secure, privacy-aware deployment
- Model-cost/cost-per-outcome awareness and pragmatic engineering trade-offs
- Bachelor’s degree or above in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related discipline
- 8+ years of relevant technology experience, including 5+ years of hands-on software, data or AI engineering experience
- Demonstrated delivery of AI/ML or agentic solutions
- Ability to work across business, product, technology, data and governance stakeholders in a matrixed environment
Benefits
Comp & perks- Equal opportunity employer
- Access to Pfizer candidate AI-use guidelines