Agentic Systems Architect

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.

Benefits include the following:

• Healthcare coverage
• Retirement plan
• Life insurance, AD&D, and disability benefits
• Wellness programs
• Paid time off, including holidays
• Learning and Development resources
• Employee assistance resources

Pay and benefits are subject to change at any time and may be modified at the discretion of the company, consistent with the terms of any applicable compensation or benefit plans.