From: Rohit chauhan <rohitnovia2305@gmail.com>
Date: 29 Jan 2026 20:19
Subject: AI Platform Engineer – GCP for Hartford CT
To: Rohit Chauhan | Novia Infotech <rohit.c@noviainfotech.com>
Cc:
--Hi
My name is Rohit Chauhan, and I am a Staffing Specialist at Novia Infotech LLC. I am reaching out to you on an exciting job opportunity with one of our clients.
Title: AI Platform Engineer – GCP
Location: Hartford CT
Role Summary:
We are looking for a highly skilled AI Platform Engineer with GCP experience to design, build, and operate LLM-powered agentic platforms and scalable AI/ML infrastructure on Google Cloud. The role focuses on autonomous AI agents, GenAI workflows, ML model deployment, cloud-native engineering, and platform automation, working closely with Data Engineers, Data Scientists, and business stakeholders to deliver end-to-end AI-driven solutions.
Key Responsibilities:
- Design, build, and optimize LLM-based autonomous agents for reasoning, planning, and task execution.
- Develop agentic AI solutions to automate end-to-end business workflows.
- Implement multi-agent orchestration frameworks and agent collaboration patterns.
- Apply advanced reasoning techniques such as Chain-of-Thought, Tree-of-Thought, and Retrieval-Augmented Planning (RAP).
- Build AI services using Python frameworks such as FastAPI and Flask.
- Integrate LLMs (OpenAI, Gemini, Claude, LLaMA, Mistral, etc.) into production-grade systems.
- Implement RAG pipelines, embeddings, semantic search, and vector databases (FAISS, Pinecone, Chroma, Weaviate).
- Develop and deploy machine learning models using supervised, unsupervised, and deep learning techniques.
- Collaborate with Data Engineers and Data Scientists to design scalable ML and AI architectures.
- Work with Vertex AI for model training, deployment, monitoring, and lifecycle management.
- Use workflow orchestration tools such as Airflow or Prefect for ML/AI pipelines.
- Perform ongoing model maintenance, optimization, and monitoring.
- Design and implement secure, scalable, and reliable cloud architectures on Google Cloud Platform.
- Build and maintain platform services using:
- Compute Engine
- GKE (Google Kubernetes Engine)
- Cloud Run / Cloud Functions
- BigQuery / Cloud Storage
- Cloud SQL / Spanner
- Architect and manage VPC networking, including DNS, NAT, and Load Balancing.
- Implement enterprise-grade security controls using IAM, KMS, service identities, and secret management.
- Develop and manage Infrastructure-as-Code (IaC) using Terraform or Deployment Manager.
- Build and maintain CI/CD pipelines using Cloud Build, Jenkins, GitHub Actions, or GitLab.
- Automate provisioning, scaling, monitoring, and operational processes.
- Apply SRE principles, including SLIs, SLOs, observability, alerting, and auto-scaling.
- Ensure high availability, reliability, and performance of AI platforms.
- Implement enterprise AI guardrails and Responsible AI practices.
- Ensure compliance, explain ability, security, and ethical use of AI systems.
- Participate in governance reviews and platform standardization initiatives.
Essential Skills & Qualifications:
- Strong experience designing and deploying LLM-based agentic solutions.
- Proficiency in Python, Shell scripting, Kubernetes, and Docker.
- Hands-on experience with GCP services, especially:
- GKE, Compute Engine, Cloud Run
- BigQuery, Cloud Storage
- VPC networking
- Expertise in Terraform / IaC and CI/CD tooling.
- Solid understanding of networking, security, and SRE concepts.
- Experience with Vertex AI and ML lifecycle management.
- Excellent communication and collaboration skills.
Desirable Skills:
- Experience with PySpark, Snowflake, and large-scale data processing.
- Exposure to AWS cloud environments.
- Familiarity with GitHub, Jupyter, and collaborative ML platforms.
- ML or Cloud certifications (GCP ML, Professional ML Engineer, etc.).
- Experience supporting production AI platforms and maintenance activities.
Rohit Chauhan
IT Recruiter
A: 4421 Avenida Ln, McKinney, TX, 75070
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