Pfizer
AISolutionsExpert—AgentDeveloper
“AI Solutions Expert—Agent Developer at Pfizer. Skills: AI agents, agentic orchestration, cloud infrastructure, MLOps. Design, develop, and deploy AI agents. Automate workflows”
What You'll Achieve.
automate workflows; enhance decision-making; enable intelligent user interactions; scalable, ethical, and high-performance agent-based systems; align AI priorities with business outcomes; continuous delivery; code quality, testing, and maintainability; KPIs and success metrics for key deliverables; system monitoring, observability, and proactive issue resolution; performance and cost efficiency of AI systems; deployable AI solutions; predictive insights; deploying AI or ML solutions in production environments
Industry & Context.
enhance decision-making; proactive issue resolution
permanent work authorization in the United States
What They're Looking For.
Must Have
bachelor's degree with at least 4 years of OR a master's degree with at least 2 years of OR a PhD with 0+ years of OR as associate's degree with 8 years of OR a high school diploma (or equivalent) and 10 years of relevant experience, agentic orchestration frameworks, Langchain, Vector databases, pinecone, embedding models, RAG architecture, LLM principles, delivering enterprise-scale projects, agile methodologies, DevOps practices
Nice to Have
Master’s degree in Computer Science, Engineering Data Science, or related field, pharmaceutical or healthcare technology environments, compliance standards such as GxP, HIPAA, and data privacy regulations, deploying AI or ML solutions in production environments
What You'll Do.
Enhance decision-making
Enable intelligent user interactions
Integrate multi-agent frameworks
high-performance agent-based systems
Develop Agentic AI Solutions
Align AI priorities with business outcomes
Support AI or data systems development
Implement automation workflows and APIs
Utilize cloud infrastructure and MLOps frameworks
Support development of KPIs and success metrics
Oversee documentation
and backlog prioritization
Ensure system monitoring and observability
Optimize performance and cost efficiency
Translate needs into deployable AI solutions
Evaluate new technologies and frameworks
Drive innovation through hackathons and proof-of-concepts
Promote responsible AI
How You'll Work.
Team & Collaboration
Partner cross-functionally; Collaborate with product, data, and engineering teams; Contribute to cross-pod governance; Represent the AI Accelerator in enterprise discussions; Partner with Business Translators, UI/UX, and Change Management teams
Process & Methodology
sprint planning, backlog prioritization, agile environments
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