Senior AI Forward Deployed Software Architect

Cynet Systems • San Jose, CA

1d

About The Position

The AI Forward Deployed Software Architect leads technical direction and builds enterprise-grade artificial intelligence solutions. This role is responsible for designing, deploying, and scaling agentic systems, LLM workflows, and cloud architecture while collaborating directly with senior stakeholders to deliver high-impact production software.

Requirements

• Substantial production software engineering experience in Python, TypeScript, Java, or comparable stacks.
• Proven track record of setting technical direction rather than only building to spec.
• Hands-on LLM and agent building experience on at least one major platform such as Anthropic, OpenAI, Google, or Microsoft.
• Practical grasp of agentic patterns, including tool use, retrieval, prompting, model behavior, evaluation, and multi-agent workflows.
• Experience shaping architecture across orchestration, memory, retrieval, model strategy, integration, and observability as systems experienced to production.
• Solid experience with APIs, databases, and cloud platforms, with deep expertise in one cloud environment and strong credibility in another.
• Strong discipline in debugging, testing, and system integration.
• Proven experience working with senior stakeholders, including Client, advisory, roadmaps, and co-building to shape strategic outcomes.
• Ability to translate technical architecture into commercial terms, such as value, cost, speed, and risk, for both technical and non-technical decision-makers.
• Composure under ambiguity, with the ability to make and defend architectural decisions directly in front of customers.
• Security-minded approach regarding data, credentials, access controls, guardrails, oversight, and the broader impact of shipped solutions.

Responsibilities

• Designing, deploying, and scaling agentic systems, LLM workflows, and cloud architecture.
• Collaborating directly with senior stakeholders to deliver high-impact production software.
• Setting technical direction for AI solutions.
• Shaping architecture across orchestration, memory, retrieval, model strategy, integration, and observability as systems are experienced to production.
• Translating technical architecture into commercial terms, such as value, cost, speed, and risk, for both technical and non-technical decision-makers.
• Making and defending architectural decisions directly in front of customers.
• Balancing fast prototyping with production-quality software engineering.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed