We are seeking an Agentic Systems Architect to drive enterprise-level innovation in intelligent software systems. This position is ideal for a strategic thinker with deep experience in AI, data science, and software engineering who is passionate about designing scalable, autonomous digital agents. You will play a critical role in our efforts to integrate agentic computing into enterprise operations, transforming how we build, deploy, and evolve mission-critical systems.

Responsibilities

• Lead the design and development of agentic software platforms that utilize AI, LLMs, and reasoning engines.
• Develop system frameworks enabling autonomous, goal-oriented software agents for enterprise-scale workflows.
• Collaborate with data scientists, software engineers, and product managers to integrate agentic capabilities across domains.
• Define architecture patterns that support modularity, explainability, and ethical AI alignment.
• Evaluate and incorporate emerging research in reinforcement learning, retrieval-augmented generation (RAG), and agent orchestration.
• Guide infrastructure decisions around APIs, compute resources, and multi-modal integrations.
• Ensure system robustness, scalability, and security across cloud and edge environments.

Required Skills

• 8+ years in software architecture, including at least 3 years developing AI/ML-driven platforms or agent-based systems.
• Proven experience designing production-grade multi-agent software systems.
• Proficiency in Python and modern AI libraries (e.g., PyTorch, TensorFlow, Hugging Face).
• Strong understanding of reinforcement learning, prompt engineering, and foundation model orchestration.
• Familiarity with cloud-native architecture (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
• Exceptional communication skills and stakeholder alignment capabilities.

Desired Skills

• Experience with LLM-integrated tools such as LangGraph, AutoGen, or CrewAI.
• Working knowledge of graph theory, symbolic reasoning, or cognitive architectures.
• Strong product intuition and UX sensibility for interactive AI applications.
• Track record of mentorship, technical leadership, or open-source contributions.
• Interest in the human-AI interface and responsible AI development.

Education Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, or a related technical field.
• Preference given to candidates with advanced degrees (M.S. or Ph.D.).
• Equivalent professional experience in AI systems architecture or software engineering may substitute for a formal degree.