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INSPYR Solutions · 3 months ago

Lead AI Architect

Houston, TX

Full-time

Hybrid

Lead/Staff

$200K/yr - $240K/yr

10+ years exp

INSPYR Solutions is a national expert in delivering flexible technology and talent solutions. They are seeking an experienced Lead AI Architect to lead the design, development, and deployment of enterprise-grade AI solutions that drive transformation across their global consulting business.

Information TechnologyProfessional ServicesStaffing Agency

No H1B

U.S. Citizen Only

Responsibilities

Define and maintain the overarching GenAI, LLMs, RAG pipelines, and autonomous agent systems

Design and implement multiple agent orchestration workflows and agentic frameworks

Evaluate and select AI/Agentic tools, frameworks, and platforms (ex: LangChain, Semantic Kernel, Vertex AI, Azure OpenAI, AWS Bedrock, LangGraph, CrewAI)

Align architectural decisions with business performance metrics, latency, security, cost, and explainability requirements

Assess emerging AI technologies and trends, recommending their adoption where appropriate

Design scalable architectures that support composability, modularity, observability, and scalability of AI solutions, ensuring alignment with business strategy, data strategy, and technology roadmap

Participate as a key stakeholder in the development of our AI Roadmap

Collaborate with cross-functional teams, including data architects, data scientists, enterprise architecture, security, AI product managers, and business stakeholders

Guide proof-of-concept development and prototype evaluations to validate architecture decisions

Provide architecture review, feedback, and mentorship to AI engineering teams

Conduct structured build-vs-buy evaluations and contribute to platform roadmap decisions

Embed responsible AI principles, privacy, and governance frameworks into system design

Ensure AI architecture complies with enterprise standards, security policies, and regulatory frameworks

Partner with AI governance, data governance, security, and compliance teams to implement transparency and auditability

Qualification

AI systems designGenAI architectureML pipelinesAgentic frameworksAWS experienceMLOps practicesCI/CD pipelinesProgramming languagesCollaboration skillsCommunication skillsLeadership skills

Required

BA/BS plus at least 10 years of relevant architecture experience or demonstrated equivalency of experience and/or education

At least 4 years of experience in ML or AI systems design and architecture

Proven expertise in designing and deploying enterprise-grade genAI, RAG models, agentic AI, and ML pipelines

Working knowledge/experience with interoperability protocols such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) for cross-platform agent communication

Experience designing/implementing solutions with agentic frameworks (e.g., LangChain, Azure AI Agent Services, n8n, Autogen, etc.)

Working knowledge of AI Gateway implementation for enforcing guardrails, monitoring, and centralized model access control

At least 3 years of experience building AI solutions in AWS or equivalent

Ability to build AI POCs and design for enterprise production

Excellent collaboration and communication skills are key

Must be comfortable engaging with key stakeholders and IT top-level leadership

Proven ability to lead and influence cross-functional teams, including software engineer teams and software product managers

Demonstrated ability to stay on top of AI trends and best practices