GCP Solution Architect

Themesoft Inc.; Ashburn (VA); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading IT consulting firm in Virginia is seeking a Talent Acquisition Manager to architect scalable AI/ML solutions on Google Cloud Platform. The role includes designing LLM-powered applications, providing technical leadership, and ensuring compliance with data privacy standards. Required qualifications include strong cloud architecture expertise and proficiency in Python. This position is a mid-senior level contract role based in Ashburn, VA.

Qualifications

• 5–8 years in cloud architecture, with at least 3+ years on GCP.
• Experience with CI/CD pipelines for model deployment.
• Strong experience with vector databases and RAG pipelines.

Responsibilities

• Architect scalable AI/ML solutions on Google Cloud Platform.
• Design LLM-powered applications using Vertex AI and Gemini API.
• Provide technical leadership for cloud and AI initiatives.

Skills

Cloud architecture expertise

Experience with Google Cloud Platform (GCP)

Proficiency in Python

Hands-on experience with LLMs

Strong analytical and problem-solving skills

Excellent communication skills

Education

Bachelor’s or Master’s in Computer Science, Data Engineering, AI/ML

Tools

Vertex AI

BigQuery

Dataflow

Pub/Sub

Terraform

Kubernetes

Job description

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