onsite
Agentic AI Engineer - LLM
Agentic AI Engineer - LLM
Tekonika Technologies is seeking a Senior-level Agentic AI Architect to define and lead the design of enterprise-grade autonomous AI systems. This role focuses on architecture, scalability, governance, and long-term AI strategy, working closely with leadership, product, and engineering to build robust AI platforms that power intelligent automation across the organization.
About the role
About the Role
We are looking for a senior-level Agentic AI Architect to define and lead the design of enterprise-grade autonomous AI systems. This role focuses on architecture, scalability, governance, and long-term AI strategy, rather than hands-on framework-level implementation. You will work closely with leadership, product, and engineering teams to build robust AI platforms that power intelligent automation across the organization.
Key Responsibilities
AI Strategy & Architecture
- Define the overall architecture for agentic AI platforms and autonomous systems
- Design scalable, secure, and production-grade AI ecosystems
- Drive adoption of agent-based architectures across business units
System Design & Governance
- Establish standards for AI system design, model usage, and deployment
- Define guardrails for responsible AI (bias, hallucination control, explainability)
- Implement governance frameworks including auditability and compliance
Platform & Infrastructure Leadership
- Architect enterprise AI platforms integrating LLMs, APIs, and distributed systems
- Lead decisions on infrastructure, cloud architecture, and scalability patterns
- Drive performance optimization, cost management, and reliability
Cross-functional Leadership
- Partner with business leaders to identify AI transformation opportunities
- Translate business vision into scalable AI solutions
- Mentor engineering teams and define best practices
Innovation & Thought Leadership
- Stay ahead of advancements in AI, multi-agent systems, and autonomous workflows
- Drive innovation initiatives and POCs at an organizational level
Required Skills & Qualifications
- 5 - 10 years of experience in AI/ML, Data Engineering, or Backend Architecture
- Strong experience in system design and distributed architectures
- Experience designing enterprise-scale AI platforms
- Deep understanding of LLM capabilities and limitations
- Strong experience with cloud platforms (AWS/Azure/GCP)
- Expertise in APIs, microservices, and scalable backend systems