Jobs via Dice
AI Lead/Architect
Location: Coppell, TX (Onsite) – all 5 days per week.
Contract Type: Long Term Contract.
Key Responsibilities
Design and oversee the architecture of AI-powered applications and platforms.
Collaborate with business and engineering teams to integrate AI Agents into production systems.
Define and enforce architectural standards, patterns, and best practices for AI systems.
Evaluate emerging AI technologies and recommend adoption strategies.
Lead modernization initiatives including cloud migration and microservices adoption.
Ensure scalability, performance, and security of AI-enabled solutions.
Provide technical leadership and mentorship to software engineers.
Partner with stakeholders to align AI architecture with business goals.
Architect scalable agentic AI frameworks using LangGraph, LangMem, and custom agent orchestration.
Design and implement advanced RAG architectures including hybrid search, query routing, and contextual retrieval.
Establish multi-agent systems with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP).
Architect Small Language Model (SLM) integration for specialized tasks and cost optimization.
Establish comprehensive monitoring, observability, and performance optimization strategies.
Scope, manage, and drive complex GenAI projects and programs to successful completion.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
5+ years of experience in software architecture and system design.
Minimum 4+ years of experience conceptualizing and architecting the target environment for AI solutions.
Proven experience with AI technologies such as Azure OpenAI, Agentic Framework, AI Plugins, Content Understanding, DocIntelligence, Chunking Strategies, Indexing and Vectorization.
Strong knowledge of cloud platforms (Azure, AWS, Google Cloud Platform) and containerization (Docker, Kubernetes).
Expertise in .Net programming languages.
Familiarity with MLOps practices.
Preferred Skills
Experience with large language models (LLMs) and generative AI.
Knowledge of enterprise architecture frameworks.
Understanding of data privacy, ethics, and responsible AI principles.
Excellent communication and stakeholder management skills.
Certifications in AI technologies.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Design, Art/Creative, and Information Technology
Industries: Software Development
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Contract Type: Long Term Contract.
Key Responsibilities
Design and oversee the architecture of AI-powered applications and platforms.
Collaborate with business and engineering teams to integrate AI Agents into production systems.
Define and enforce architectural standards, patterns, and best practices for AI systems.
Evaluate emerging AI technologies and recommend adoption strategies.
Lead modernization initiatives including cloud migration and microservices adoption.
Ensure scalability, performance, and security of AI-enabled solutions.
Provide technical leadership and mentorship to software engineers.
Partner with stakeholders to align AI architecture with business goals.
Architect scalable agentic AI frameworks using LangGraph, LangMem, and custom agent orchestration.
Design and implement advanced RAG architectures including hybrid search, query routing, and contextual retrieval.
Establish multi-agent systems with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP).
Architect Small Language Model (SLM) integration for specialized tasks and cost optimization.
Establish comprehensive monitoring, observability, and performance optimization strategies.
Scope, manage, and drive complex GenAI projects and programs to successful completion.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
5+ years of experience in software architecture and system design.
Minimum 4+ years of experience conceptualizing and architecting the target environment for AI solutions.
Proven experience with AI technologies such as Azure OpenAI, Agentic Framework, AI Plugins, Content Understanding, DocIntelligence, Chunking Strategies, Indexing and Vectorization.
Strong knowledge of cloud platforms (Azure, AWS, Google Cloud Platform) and containerization (Docker, Kubernetes).
Expertise in .Net programming languages.
Familiarity with MLOps practices.
Preferred Skills
Experience with large language models (LLMs) and generative AI.
Knowledge of enterprise architecture frameworks.
Understanding of data privacy, ethics, and responsible AI principles.
Excellent communication and stakeholder management skills.
Certifications in AI technologies.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Design, Art/Creative, and Information Technology
Industries: Software Development
#J-18808-Ljbffr