Senior AI Architect/Engineer

This is a fully remote position, open to applicants in United States, +21 more locations.

📋 Description

• Conduct research, design, plan, develop, and assess cutting-edge network technologies by converting customer needs and strategic goals into product designs.

• Construct and manage a secure, production-ready AI platform utilizing AWS Bedrock.

• Take ownership of Claude deployment, model access and versioning, data residency, throughput, private VPC-isolated hosting, and model routing.

• Develop and sustain application harnesses for prompt and context management, tool and function invocation, agent orchestration, retrieval pipelines, guardrails, caching, and fallback behavior.

• Manage evaluation harnesses, regression suites, quality benchmarks, and model release workflows.

• Create secure, governed AI connections to Microsoft 365, Graph, SharePoint, databases, warehouses, APIs, and line-of-business systems.

• Oversee retrieval architecture, indexing, data freshness, and permission trimming.

• Design a least-privilege approach for identity, network, and data access using IAM, Entra ID, encryption, key management, secrets handling, and tenant isolation.

• Protect against prompt injection, data exfiltration, insecure tool usage, and over-permissioned agents.

• Implement monitoring and observability for latency, errors, throughput, quality, drift, guardrail trips, and anomalous usage.

• Optimize AI costs through attribution, budgeting, model right-sizing, caching, context optimization, batching, and throughput decisions.

• Develop reusable patterns, templates, and guardrails for future AI applications.

• Collaborate with Communications, Waypoint, Payments, and Corporate/Shared teams to identify AI and automation opportunities.

• Prototype solutions, validate with users, deploy production-ready solutions, foster adoption, and measure business impact.

• Empower AI champions across all business lines.

• Set up use-case intake and prioritization, ensure cost transparency, and establish measurable first-year outcomes.

⛳️ Requirements

• Robust software and solutions engineering background with practical experience in building and deploying production AI/LLM applications, including RAG, agents, tool usage, orchestration, and evaluation.

• Direct experience with a managed model platform in production; AWS Bedrock is highly preferred, along with AWS IAM, VPC, KMS, CloudWatch, and PrivateLink.

• Proven capability to build and maintain data connectivity to enterprise systems with permission-aware retrieval.

• Strong understanding of enterprise security and data governance, encompassing identity and access management, data protection, encryption, key management, and AI-specific threat models.

• Experience in production operations, including monitoring and on-call responsibilities for live systems.

• Financial acumen and ability to track inference spending accurately.

• Excellent business communication skills for translating finance, operations, or sales challenges into effective solutions.

• Demonstrated inclination toward shipping and driving adoption over merely building demos.

• Familiarity with the Microsoft/Azure ecosystem, including Azure AI, Copilot Studio, Power Platform, Entra ID, and SharePoint/Graph (preferred).

• Previous experience in a regulated or security-sensitive industry such as payments, telecom, or financial data (preferred).

• Experience with self-hosted or fine-tuned models (preferred).

• Knowledge of infrastructure-as-code and CI/CD for AI systems, including Terraform, pipelines, and automated evaluations (preferred).

• Background in change management or internal consulting (preferred).

• Prior experience in forward-deployed or customer-facing engineering roles (preferred).

🏝️ Benefits

• Medical coverage

• Dental coverage

• Life insurance

• Paid holidays and vacations

• 401K plan with company match