Description

You will lead the architecture and design of Agentic AI, Generative AI, and AI Ops solutions, defining end-to-end systems that integrate with enterprise platforms and cloud ecosystems. This role requires translating business requirements into scalable, production-ready AI-driven solutions while establishing governance, security guardrails, and compliance frameworks.

This role is on-site.

Responsibilities

• Design and develop AI agents, orchestration workflows, and autonomous systems using modern frameworks.
• Define end-to-end AI architecture, including integration patterns, scalable frameworks, and API integrations.
• Drive the AI roadmap, MVP strategy, and production readiness while implementing risk management processes.
• Provide technical leadership and mentor AI/ML engineering teams to ensure high-quality delivery.
• Collaborate with stakeholders and cross-functional teams to align technical solutions with business goals.

Required Skills

• 5+ years of experience in software architecture, with strong proficiency in Python and AI/ML frameworks.
• Hands-on experience with Generative AI, including LLMs, RAG, and prompt engineering.
• Experience with AI orchestration frameworks such as LangChain or Semantic Kernel.
• Proficiency in cloud platforms (AWS, Azure, or GCP) and microservices architecture.
• Knowledge of AI governance, security, compliance, and AI Ops/MLOps pipelines.
• Experience with DevOps, CI/CD practices, and vector databases.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Experience in enterprise AI transformation programs and multi-agent systems.
• Exposure to decision intelligence and complex RAG architectures.

Key Skills

Education

Bachelor's degree