AI/ML Architect

Title: AI/ML Architect
Location: Remote (Only H1B)
Duration: Long Term

Key Responsibilities
AI & Agent Architecture
* Define architecture for agentic AI and agent processing/orchestration layers
* Design end-to-end RAG and LLM solution architectures across enterprise platforms
* Architect integration between knowledge bases and enterprise AI gateways
* Define patterns for contextual AI responses across channels
MCP & Agent Frameworks
* Lead design and implementation standards for Model Context Protocol (MCP) servers
* Define how MCP servers integrate with agent processing layers
* Establish reusable patterns for tool use, context injection, and agent workflows
* Guide MCP server build and deployment approaches
Governance & Standards
* Establish AI architecture standards and guardrails
* Define governance models for model usage, knowledge sources, and prompt frameworks
* Ensure compliance with enterprise security and data governance requirements
* Create architectural review and approval patterns
Observability & Reliability
* Define AI observability and monitoring strategies
* Implement tooling and standards for tracing and evaluation (ex: Langfuse or similar)
* Establish performance, quality, and safety monitoring frameworks
* Define evaluation methodologies for AI responses and agent behavior
Platform & Enterprise Integration
* Serve as architectural liaison between enterprise AI platform teams and application teams
* Define integration patterns across digital, mobile, and conversational channels
* Align AI architecture with enterprise data pipelines and gateways
* Guide onboarding of new AI components and vendors
Mentorship & Enablement
* Mentor AI/ML engineers and platform teams
* Develop architectural playbooks and reference implementations
* Lead knowledge sessions and internal workshops
* Contribute to a long-term “AI excellence” capability vision
Required Qualifications
* Bachelor’s or Master’s degree in Computer Science, AI, or related field
* 7+ years in AI/ML or advanced software architecture roles
* Proven experience architecting LLM, RAG, and agent-based AI systems
* Strong knowledge of:
* Deep experience with cloud AI architecture (Azure or AWS)
* Experience designing production AI governance and monitoring frameworks
* Strong background in APIs, microservices, and distributed systems
* Excellent communication and technical leadership skills
Preferred Qualifications
* Experience with enterprise AI gateways
* Experience with AI observability tools (Langfuse or similar)
* Healthcare or regulated industry experience
* Experience scaling AI platforms across multiple business domains
* Agile enterprise delivery experience