Position: AI Solutions Architect — Agentic AI Platforms
Location: San Francisco, CA (Onsite)
Duration: 12+ Months Contract
Pay Rate: $80-90/hr on W2/C2C
AI Solutions Architect — Agentic AI Platforms
ROLE OVERVIEW
BayOne is hiring an AI Solutions Architect to lead the design and delivery of our enterprise Agentic AI
platform. You will own the technical vision for multi-agent systems, RAG, MCP-based tool integration,
and the underlying microservices that let enterprises compose, govern, and operate domain-specific
agents at scale — and drive reusability by codifying patterns into shared skills and sub-agents across
the Application Development Lifecycle (ADLC).
KEY RESPONSIBILITIES
• Agentic AI Architecture: Own end-to-end design of multi-agent systems using LangChain,
LangGraph, and Model Context Protocol (MCP) — including planner-executor patterns, sub-agent
hierarchies, tool routing, retries, and cost-aware token budgeting.
• RAG & Knowledge Systems: Architect production-grade RAG pipelines with vector databases
(pgvector, Qdrant), hybrid retrieval, re-ranking, and document-aware chunking to ground agents in
enterprise knowledge.
• Solution Architecture: Design reference architectures and solution blueprints for enterprise
clients across BFSI, payments, manufacturing, and government — translating business outcomes
into agentic AI roadmaps and reusable accelerators.
• Scalable Microservices: Build event-driven microservices on Kafka, polyglot data layers with
PostgreSQL and vector DBs, and Kubernetes-based deployment topologies for high-throughput
inference workloads.
• MLOps & Model Lifecycle: Establish practices spanning training, fine-tuning, prompt and config
versioning, structured evaluations against golden datasets, drift detection, and automated rollback
when output quality degrades.
• Traceability & Observability: Instrument agent reasoning traces, tool-call audit trails, token
spend, and quality signals with Prometheus, Grafana, and OpenTelemetry — enabling policy
enforcement and human-in-the-loop oversight.
• Reusable Engineering Standards: Codify AI engineering patterns (RAG retrievers, agent loops,
eval harnesses, traceability spans) into reusable skills, sub-agents, and platform components
consumed across multiple product lines.
• Rapid Engineering in ADLC: Roll out AI-led developer tools and sub-agents (Claude Code,
Playwright MCP) across planning, code generation, code review, test authoring, and release
validation — accelerating delivery while standardizing quality.
• Presales & Client Engagement: Partner with sales, presales, and customer success on
enterprise pursuits — authoring solution designs, leading technical workshops, and shaping agentic
AI roadmaps for prospects and existing clients.
REQUIRED QUALIFICATIONS
• 10+ years of software engineering experience, with at least 3 years architecting LLM-based or
agentic AI systems in production.
• Deep hands-on expertise with LangChain, LangGraph, RAG, MCP, prompt engineering, context
engineering, and token optimization.
• Strong programming skills in Python and TypeScript (Java a plus); proven ability to design and
implement microservices with FastAPI, Spring Boot, or Node.js.
• Production experience with cloud platforms (AWS, Azure, or GCP), Kubernetes, Docker, Terraform,
and CI/CD pipelines.
• Solid grounding in MLOps — model training/fine-tuning, evaluation pipelines, drift detection, and
observability for AI systems.
• Track record of solution architecture for enterprise clients — translating business problems into
reference architectures and shipping production outcomes.
• Bachelor's degree in Computer Science, Engineering, or a related field.
NICE TO HAVE
• Experience in Retail or regulated industries (PCI-DSS, KYC/AML, audit & compliance
workflows).
• Familiarity with API gateways (Apigee, Kong) and developer-portal design for partner onboarding.
• Exposure to Claude Code, Cursor, or similar agentic coding environments and the design of reusable skills/sub-agents
BayOne is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any federal, state, or local protected class. This job posting represents the general duties and requirements necessary to perform this position and is not an exhaustive statement of all responsibilities, duties, and skills required. Management reserves the right to revise or alter this job description.