Position Summary
The Architect, AI/ML will serve as a hands-on technical leader responsible for modernizing our Approvals platform — replacing legacy BPM systems with intelligent, agentic workflows powered by large language models. This individual will directly own the design and development of prompting infrastructure, orchestration layers, multi-agent systems, and fine-tuning pipelines, while enabling the broader engineering organization to adopt and extend these capabilities.
Key Responsibilities
• Lead the architectural transformation from rule-based BPM to agentic, LLM-powered approval workflows — defining the long-term vision and driving hands-on execution
• Design, build, and own the prompting layer and orchestration infrastructure on top of foundation models, including RAG pipelines, context injection, multi-agent coordination, and human-in-the-loop escalation patterns
• Lead hands-on fine-tuning efforts, making principled trade-offs between adaptation approaches (LoRA, PEFT, instruction tuning, RLHF). You keep up with the latest techniques for fine tuning
• Establish LLMOps practices for production reliability, observability, and drift detection
• Diagnose and resolve production issues in LLM-powered systems; develop runbooks and raise engineering team capability through direct collaboration and pairing
• Partner with product and engineering leadership to define and sequence the agentic BPM roadmap
Required Qualifications
• 4–5+ years of hands-on machine learning experience in production environments; direct coding expectations — this is not a staff or advisory role
• Demonstrated experience building prompting layers and orchestration systems on top of foundation models
• Proven track record of shipping LLM-based systems to production
• Deep expertise in LLM fine-tuning methodologies and agentic system design
Preferred Qualifications
• Prior experience modernizing or replacing BPM systems with AI-driven alternatives
• Experience with multi-agent orchestration frameworks
• Background in enterprise workflow automation or approvals domains
• Familiarity with cloud-native ML infrastructure
Internal Responsibilities
As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. Suggest and justify product directions within approved directions. Define responsibilities for new projects and specifies, designs and develops software according to those specifications. Provide consultative software guidance and strategic direction associated with the developing, designing and debugging of software applications or operating systems.
External Responsibilities
As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. Suggest and justify product directions within approved directions. Define responsibilities for new projects and specifies, designs and develops software according to those specifications. Provide consultative software guidance and strategic direction associated with the developing, designing and debugging of software applications or operating systems.
