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Senior AI Solution Architect
Job Location:
Job Location:
Chantilly, VA - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
13 June 2026 (30+ days ago)
Posted:
Application Deadline:
10 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
#W2 Role
Role: Senior AI Solution Architect
Location: Remote
Experience: 10 years preferred
Mandatory Skills: GCP Vector Database Agentic AI Frameworks Python
Location: Remote
Experience: 10 years preferred
Mandatory Skills: GCP Vector Database Agentic AI Frameworks Python
Job Description
We are looking for a highly experienced and hands-on Senior AI Solution Architect to lead the design development and deployment of a scalable Agentic AI platform focused on knowledge-driven reasoning enterprise transformation and intelligent automation.
The ideal candidate should have strong experience in cloud modernization AI architecture enterprise API transformation vector databases Python development and GCP-based AI/ML solutions. This role requires someone who can work closely with business architecture engineering data and cloud teams to transform enterprise services into AI-driven searchable and reusable capabilities through Knowledge Record Management reasoning layers orchestration frameworks and agentic workflows.
Key Responsibilities
Lead the architecture design and implementation of a scalable Agentic AI platform for enterprise use cases.
Design AI-driven solutions focused on knowledge discovery reasoning orchestration and enterprise automation.
Build and guide the development of reasoning and orchestration layers using Agentic AI frameworks.
Transform enterprise services documents and business knowledge into searchable APIs and reusable AI capabilities.
Design and implement Knowledge Record Management patterns to structure classify retrieve and govern enterprise knowledge.
Build RAG-based and agentic workflows using vector databases embeddings retrieval pipelines and LLM orchestration.
Develop AI solution architecture on Google Cloud Platform (GCP) using cloud-native services and scalable deployment models.
Lead cloud modernization and migration strategies to enable AI-first enterprise platforms.
Design secure scalable and reusable APIs to expose enterprise knowledge and services to AI agents.
Provide hands-on technical leadership in Python-based AI engineering orchestration and backend service development.
Evaluate and recommend AI frameworks vector database platforms embedding models and orchestration patterns.
Partner with product owners business stakeholders architects and engineering teams to convert business needs into AI solution designs.
Create architecture diagrams technical design documents API specifications integration patterns and implementation roadmaps.
Define best practices for responsible AI security access control data privacy observability and governance.
Support proof-of-concepts MVPs production deployments performance tuning and platform scaling.
Mentor engineering teams on Agentic AI architecture cloud-native design and enterprise AI delivery practices.
Required Skills
10 years of overall IT experience with strong experience in solution architecture cloud architecture AI/ML engineering or enterprise application modernization.
Strong hands-on experience with Google Cloud Platform (GCP).
Strong experience designing and implementing Agentic AI frameworks and multi-agent workflows.
Hands-on experience with Python for AI engineering backend services orchestration and API development.
Strong experience with vector databases such as Pinecone Weaviate Milvus Chroma FAISS Vertex AI Vector Search or similar platforms.
Experience building embeddings semantic search RAG pipelines reasoning workflows and knowledge retrieval systems.
Strong understanding of LLM-based solution design prompt engineering tool calling function calling and agent orchestration.
Experience building AI-driven APIs and transforming enterprise services into searchable consumable and reusable AI capabilities.
Strong understanding of cloud modernization migration patterns microservices APIs and enterprise integration.
Experience designing scalable secure and production-ready AI platforms.
Strong knowledge of data pipelines metadata document ingestion chunking strategies indexing retrieval optimization and knowledge governance.
Ability to define architecture standards reusable design patterns and technical implementation roadmaps.
Strong stakeholder management communication documentation and leadership skills.
Preferred Skills
Experience with GCP services such as Vertex AI BigQuery Cloud Run Cloud Functions Cloud Storage Pub/Sub Cloud SQL GKE IAM and API Gateway.
Experience with Agentic AI frameworks such as LangChain LangGraph CrewAI AutoGen Semantic Kernel or similar tools.
Experience with Knowledge Graphs ontology design metadata management taxonomy design or enterprise knowledge management.
Experience designing reasoning/orchestration layers for enterprise GenAI platforms.
Experience with API management REST APIs GraphQL event-driven architecture and microservices.
Experience with MLOps CI/CD Docker Kubernetes Terraform and cloud deployment automation.
Knowledge of security privacy governance and compliance requirements for enterprise AI platforms.
Nice to Have
Experience with cloud migration and modernization from legacy platforms to GCP.
Experience implementing AI platforms for enterprise search knowledge assistants service automation or intelligent workflow orchestration.
Exposure to model evaluation LLM observability hallucination controls guardrails and prompt/version management.
Experience working in financial services healthcare insurance retail or large enterprise environments.
Certifications
GCP Professional Cloud Architect Professional Machine Learning Engineer or related cloud/AI certifications are a plus.
