GCP Solution Architect Job at Themesoft Inc. in Ashburn

Talent Acquisition Manager at Themesoft Inc.

Client expectation – GCP Sol. Architect / Migration experience / Consulting to client.

Location : Ashburn, VA (3 days a week)

Key Responsibilities

• Architect scalable, secure, and cost-effective AI/ML and data solutions on Google Cloud Platform (GCP).


• Design LLM-powered applications using Vertex AI, Gemini API, and RAG pipelines (e.g., with BigQuery, Vector Search, ChromaDB, or Elastic).


• Define architecture blueprints integrating data pipelines, model deployment, and application services.


• Implement Retrieval-Augmented Generation (RAG) pipelines, including prompt engineering, model fine-tuning, and vector database integration.


• Integrate LLMs with enterprise systems, APIs, and unstructured data (PDFs, logs, documents).


• Optimize inference performance, model deployment, and data governance in production environments.


• Work closely with data engineering teams to build pipelines using BigQuery, Dataflow, Dataproc, and Pub/Sub.


• Ensure proper data lineage, transformation, and cataloging (e.g., with Data Catalog and Looker).


• Design analytical models and dashboards supporting AI insights.


• Implement GCP IAM, network, and security best practices.


• Ensure solutions adhere to data privacy, compliance, and responsible AI frameworks.


• Collaborate on cost optimization, MLOps, and CI/CD automation for AI workloads.


• Partner with business leaders, data scientists, and ML engineers to translate business goals into AI-powered solutions.


• Provide architectural guidance, technical leadership, and mentoring for cloud and AI initiatives.

Required Skills and Experience

• Education: Bachelor’s or Master’s in Computer Science, Data Engineering, AI/ML, or related field.


• 5–8 years in cloud architecture, with at least 3+ years on Google Cloud Platform (GCP).


• Strong experience with Vertex AI, BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.


• Hands‑on experience with LLMs (Gemini, GPT, Claude, or open-source models like LLaMA, Mistral).


• Knowledge of RAG pipelines, prompt engineering, embedding models, and vector databases.


• Familiarity with LangChain, Vertex AI Search, ChromaDB, FAISS, or Pinecone.


• Understanding of fine‑tuning, model evaluation, and context window optimization.


• Proficiency in Python (must‑have) and familiarity with SQL, Java, or Go.


• Experience building microservices or APIs to integrate AI models.


• Experience with Vertex AI Pipelines, Cloud Build, Terraform, or Kubernetes (GKE).


• Knowledge of CI/CD pipelines for model deployment.


• Excellent communication, presentation, and stakeholder management skills.


• Strong analytical and problem‑solving mindset with the ability to design solutions end‑to‑end.

Preferred / Nice‑to‑Have

• GCP Professional Certifications: Professional Cloud Architect, Professional Machine Learning Engineer.


• Familiarity with data security frameworks and Responsible AI principles.


• Experience deploying multi‑modal LLMs (text, image, speech).

Seniority level: Mid‑Senior level

Employment type: Contract

Job function: Information Technology

Industries: IT Services and IT Consulting