Agentic AI Solutions Architect

Job highlights

• Education: Bachelor s degree in Computer Science,Artificial Intelligence,Data Science,Engineering,or a related field
• Advanced AI / ML certifications or hands-on experience building enterprise AI systems are highly preferred. Disclaimer: This job posting and Location has been aggregated from external source
• Required Skills
• Preferred Skills

Job Summary

Seeking an experienced Agentic AI Solutions Architect to design and oversee enterprise-grade multi-agent AI systems and autonomous workflow solutions. The role involves architecting scalable AI ecosystems, defining agent orchestration strategies, integrating LLM frameworks, and aligning AI-driven automation solutions with business objectives across industries such as Finance, Healthcare, and Energy.

Responsibilities

• Design end-to-end agentic AI architectures for complex enterprise use cases and autonomous workflows.

• Define multi-agent orchestration strategies, memory frameworks, reasoning flows, and tool integration patterns.

• Architect and implement LLM-powered systems using frameworks such as LangChain, LangGraph, and RAG pipelines.

• Evaluate and select appropriate AI models, vector databases, orchestration frameworks, and cloud AI services.

• Guide engineering teams through implementation, deployment, scalability, and optimization of AI systems.

• Design secure, reliable, and production-ready AI workflows with monitoring, governance, and safety guardrails.

• Collaborate with clients, product teams, and delivery leaders to align AI solutions with business requirements.

• Optimize AI system performance, prompt engineering workflows, context management, and inference efficiency.

• Stay updated with emerging advancements in generative AI, autonomous agents, LLM ecosystems, and enterprise AI tooling.

  Required Skills

• Agentic AI

• LLM Orchestration

• LangChain

• LangGraph

• Multi-Agent Systems

• Python

• RAG

• Prompt Engineering

• Vector Databases

• AI Architecture

• LLMs

• Autonomous Workflows

• Generative AI

• AI System Design

  Preferred Skills

• Hands-on experience deploying production-grade agentic AI systems in enterprise environments.

• Strong understanding of prompt engineering, agent memory, tool usage, and AI safety guardrails.

• Experience with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS.

• Familiarity with cloud AI platforms including Azure OpenAI, AWS Bedrock, or Google Vertex AI.

• Experience with AI observability, evaluation frameworks, and scalable AI infrastructure.

• Strong leadership, stakeholder communication, and technical architecture skills.

• Education: Bachelor s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. Advanced AI/ML certifications or hands-on experience building enterprise AI systems are highly preferred.

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.