What are the responsibilities and job description for the AI Engineer (Hybrid) position at Two95 International?
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.