Senior Forward Deployment Manager

Pfizer

. Design, build and integrate AI and agentic solutions, including rapid prototypes, proofs of concept and validated MVPs, for high-value opportunities.

Posted 11/11/2026full-timeShanghai • ChinaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and agentic solution engineering, including rapid prototyping, model fine-tuning, and integration of AI applications. Strong collaboration skills with the ability to translate requirements into effective solutions while maintaining a focus on model-cost awareness and pragmatic engineering.

Highest-signal resume keywords

AI Solution EngineeringPython ProgrammingModel Fine-TuningMLOps and LLMOpsCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Rapid PrototypingAI IntegrationEmbeddingsVector DatabasesPrompt EngineeringContext EngineeringEvaluation and GuardrailsProduction-Quality DevelopmentAPI IntegrationOrchestration

Soft Skills

Builder MindsetCuriosityPragmatic Engineering Judgment

Tools & Technologies

RAG PipelinesSmall Language ModelsCI/CDData EngineeringAI Layer Development

Industry Keywords

AI SolutionsAgentic SolutionsData ScienceSoftware EngineeringComputer Science

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design, build and integrate AI and agentic solutions, including rapid prototypes, proofs of concept and validated MVPs, for high-value opportunities.
Engineer agentic applications and RAG pipelines covering retrieval, model and API integration, orchestration, prompt and 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, including agents, retrieval and orchestration, with D&T Data Engineering & Semantics and GCA DSM.
Build evaluation, testing and guardrails to prove feasibility, quality and safety before scale.
Partner daily with the AI Product Owner to translate requirements into working solutions and iterate on feedback.
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.

Requirements

What you’ll need

Hands-on AI / software engineering: 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, MLOps and LLMOps, CI/CD and secure, privacy-aware deployment.
Model-cost / cost-per-outcome awareness and pragmatic engineering trade-offs.
Builder mindset: ships working solutions fast with rigor, curiosity and pragmatic engineering judgment, with strong cross-functional collaboration.
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 and demonstrated delivery of AI/ML or agentic solutions.
Ability to work across business, product, technology, data and governance stakeholders in a matrixed environment.