Lead AI Architect

Title: Lead AI Architect
Location: Either Dallas, TX or Houston, TX (hybrid)
Duration: Direct Hire
Compensation: $200K-$240K per year
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

Job Description:
We are seeking an experienced Lead AI Architect to lead the design, development, and deployment of enterprise-grade AI solutions that drive transformation across our global consulting business. This role is pivotal in shaping the technical architecture for GenAI, ML, and agentic AI systems, ensuring scalability, security, and alignment with business objectives. The ideal candidate will possess deep expertise in AI systems, frameworks, and enterprise integration, coupled with a proven track record of delivering impactful AI solutions in complex organizational settings.

Key Responsibilities:

AI Architectural and Strategy:

• 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

Solution Design:

• 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

Governance:

• 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

Qualifications

Technical Experience:

• 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

Leadership & Collaboration:

• 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

Additional Information

Preferred Qualifications

• Understanding of MLOps and DevOps practices including CI/CD for models, observability, and rollback GitHub, GitHub Actions
• CI/CD pipelines using YML, AWS CloudFormation, Terraform
• Is intellectually curious in order to keep on top of new concepts in AI/ML, trends, and best practices
• Containerization tools like Kubernetes and Docker
• Programming languages/frameworks including C#, Python, JavaScript, JSON
• Azure DevOps for recording and tracking of Epics, Features and User Stories

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/ . By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.

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