Senior Manager, Full Stack Engineer
The AI Acceleration function at Pfizer is seeking a Senior Manager to oversee the design and delivery of production-grade AI capabilities. The role involves hands-on software engineering, technical task management, and collaborating with cross-functional teams to integrate AI into business processes. Candidates must possess significant experience in full-stack development, cloud architecture, and DevOps practices. This position offers the opportunity to drive AI innovation within a major global healthcare organization.
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Experience
9+ years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
The AI Acceleration function at Pfizer is seeking a Senior Manager to oversee the design and delivery of production-grade AI capabilities. The role involves hands-on software engineering, technical task management, and collaborating with cross-functional teams to integrate AI into business processes. Candidates must possess significant experience in full-stack development, cloud architecture, and DevOps practices. This position offers the opportunity to drive AI innovation within a major global healthcare organization.
TAL's take
Established global pharmaceutical company with a clear and well-scoped technical leadership role.
Clear responsibilities, seniority, and technical expectations provided for a defined internal AI acceleration function.
Salaries at Pfizer
22.3 LPA average
Based on 4 Grapevine salary entries for Pfizer.
Other roles
2 - 4 years | 1000000-1200000
9 LPA average
Range: 9 - 9 LPA
Other roles
4 - 6 years | L1
5 LPA average
Range: 5 - 5 LPA
Other roles
6 - 8 years | Manager
35 LPA average
Range: 35 - 35 LPA
Other roles
8 - 10 years
40 LPA average
Range: 40 - 40 LPA
Must haves
- Bachelor’s or Master’s degree in Computer Science or Engineering.
- 9+ years of experience in software development and architecture.
- Strong application development knowledge in Python, JavaScript, Oracle, RDBMS, .Net, or Java.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with DevOps and DevSecOps practices like Docker and Kubernetes.
Tools and skills
Nice to have: openai, gemini, bedrock, langgraph, langchain, vector db, embeddings, pyspark, etl, databricks, azure data fabric.
About the company
Global pharmaceutical corporation, significant tech presence but not a top-tier pure-play engineering brand.