AI Architect Agentic AI Platforms
Duration: 6 Months (Contract)
(Negotiable based on experience & location)
Important Submission Note
Job Summary
We are seeking an experienced AI Architect with strong expertise in Agentic AI platforms, Generative AI, and AI Ops. The ideal candidate will lead end-to-end AI architecture, design intelligent agent-based systems, and drive enterprise-scale AI transformation initiatives.
Key Responsibilities
Lead architecture and design of Agentic AI, GenAI, and AI Ops solutions
Define end-to-end AI architecture, including integration patterns and scalable frameworks
Design and develop AI agents, orchestration workflows, and autonomous systems
Integrate AI solutions with enterprise platforms, APIs, and cloud ecosystems
Establish AI governance, security guardrails, and compliance frameworks
Translate business requirements into scalable AI-driven solutions with measurable outcomes
Drive AI roadmap, MVP strategy, and production readiness
Implement risk management and AI control tower processes
Provide technical leadership and mentor AIML engineering teams
Collaborate with stakeholders, architects, and cross-functional teams
Required Skills
Strong experience in Agentic AI Autonomous AI Systems
Hands-on with Generative AI (LLMs, RAG, prompt engineering)
Experience with AI orchestration frameworks (LangChain, Semantic Kernel, etc.)
Proficiency in Python and AIML frameworks
Experience with cloud platforms (AWS Azure Google Cloud Platform)
Strong understanding of API integrations and microservices architecture
Knowledge of AI governance, security, and compliance
Experience with AI Ops MLOps pipelines
Excellent stakeholder communication and solutioning skills
Preferred Skills
Experience in enterprise AI transformation programs
Knowledge of multi-agent systems and decision intelligence
Exposure to vector databases and RAG architectures
Familiarity with DevOps CI-CD for AI solutions
