Insight Global
Lead AI Architect – Insight Global
Base Pay Range:
$150,000.00/yr - $200,000.00/yr
Qualifications
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
Nice to Have Skills & Experience
Understanding of MLOps and DevOps practices including CI/CD for models, observability, and rollback GitHub, GitHub Actions
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
Azure DevOps for recording and tracking of Epics, Features and User Stories
Job Description Insight Global is seeking a Lead AI Architect to work a hybrid schedule onsite in Dallas or Houston, TX, with its fortune 500 Civil Engineering consultant client. Responsibilities will include the following:
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
Seniority level Mid-Senior level
Employment type Full-time
Job function Information Technology
Benefits
Medical insurance
Vision insurance
401(k)
#J-18808-Ljbffr
$150,000.00/yr - $200,000.00/yr
Qualifications
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
Nice to Have Skills & Experience
Understanding of MLOps and DevOps practices including CI/CD for models, observability, and rollback GitHub, GitHub Actions
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
Azure DevOps for recording and tracking of Epics, Features and User Stories
Job Description Insight Global is seeking a Lead AI Architect to work a hybrid schedule onsite in Dallas or Houston, TX, with its fortune 500 Civil Engineering consultant client. Responsibilities will include the following:
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
Seniority level Mid-Senior level
Employment type Full-time
Job function Information Technology
Benefits
Medical insurance
Vision insurance
401(k)
#J-18808-Ljbffr