Solutions Architect with Agentic AI

Experience Level: 15+ years of any Leadership / Architect consultants who have good experience on Agentic AI.

Job Title: Solutions Architect / Data Architect with Agentic AI

Location: Plano, TX - Onsite

Duration: 12+ Months

Required Qualifications

• 15+ years of overall IT experience in solution, enterprise, or AI architecture roles.
• Hands-on architectural leadership in Agentic AI for at least the last two projects.
• Proven experience delivering production-grade AI/ML or GenAI solutions in enterprise environments.

Technical Skills

• Strong expertise in Agentic AI frameworks (e.g., LangGraph, LangChain Agents, CrewAI, AutoGen, Semantic Kernel, or similar).
• Deep understanding of LLMs (OpenAI, Anthropic, Azure OpenAI, open-source models).
• Experience with RAG architectures, vector databases (Pinecone, FAISS, Weaviate, Milvus, etc.).
• Proficiency in Python and experience with REST APIs, microservices, and event-driven architectures.
• Solid knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform) and containerization (Docker, Kubernetes).

Architecture & Design

• Strong background in enterprise architecture, system integration, and distributed systems.
• Experience defining non-functional requirements, performance tuning, and scalability strategies.
• Familiarity with MLOps / LLMOps, CI/CD, and monitoring for AI systems.

Preferred Qualifications

• Experience in regulated industries (finance, healthcare, insurance, or telecom).
• Exposure to autonomous decision-making systems, workflow automation, and AI copilots.
• Certifications in cloud, AI/ML, or architecture (AWS, Azure, TOGAF, etc.).
• Thought leadership through whitepapers, blogs, or conference talks on AI/Agentic systems.

Key Competencies

• Strategic thinking with hands-on technical depth
• Strong communication and stakeholder management
• Innovation mindset with focus on business outcomes

Leadership in emerging AI technologies