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Job Description
Title:
AI Engineer Position:
Hybrid (King of Prussia, PA)
Type:
6+ Months Contract Job Description Experience with Google Cloud Platform (Google Cloud Platform) services, including IAM, BigQuery, Cloud Run, Storage, Networking, Service Accounts, and APIs Strong proficiency with Terraform and IaC for provisioning and managing cloud resources. Experience developing and maintaining CI/CD pipelines using GitHub Actions or similar tools. Experience with containerization and orchestration technologies (Docker, Kubernetes/GKE). Familiarity with source control and Git-based development practices Experience building scalable platform frameworks, templates, and reusable deployment patterns. Exposure to AI agent evaluation frameworks, observability platforms, and FinOps practices Experience supporting enterprise-scale AI or data platforms. Familiarity with MCP connectors and cross-platform integrations. Understanding of IAM, RBAC, service accounts, and secrets management (concept- and requirements-level familiarity, as this will also be handled by the Pfizer network/security team) Experience with enterprise networking and security controls such as VPC Service Controls and Private Service Connect (even though this will be handled by the Pfizer Cloud-Infra team)
AI PLATFORM & INTEGRATION EXPERIENCE
Hands-on experience with Vertex AI, GenAI platforms, or LLM-based applications. Understanding of agent architectures and patterns (e.g., ADK, MCP, A2A, RAG). Experience integrating enterprise data platforms and connectors (Snowflake, Databricks, BigQuery, APIs). Familiarity with model APIs, agent lifecycle management, and deployment patterns. Knowledge of observability, logging, and monitoring concepts.