Overview:
As a Forward Deployed AI Engineer, you embed with enterprise teams to turn AI platform capabilities into scalable, value-driven operations. You lead end-to-end deployments, shaping adoption, reliability, and ROI across multi-stakeholder environments. You translate complex AI tech into business outcomes, building reusable blueprints that scale across client engagements. This role offers hands-on impact at scale, shaping AI-native adoption across industries. Compensation / Benefits medical, dental, vision life and long-term disability 401(k) plan bonus opportunities paid holidays paid time off
Responsibilities:
Lead enterprise AI platform deployments across complex client environments with major vendors (Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, Palantir) Own program-level delivery outcomes including time-to-value, reliability, adoption velocity, and cross-workstream scalability with commercial metrics Lead rapid experimentation to production within days or weeks in enterprise settings Architect and govern AI solutions across identity, data, security, governance, platform layer, and multi-system workflow integration Shape reinvention strategy for client executives (CTO, CFO, CISO) with value architecture and AI adoption roadmaps Define and publish reusable reinvention blueprints, patterns, and accelerators for multiple client engagements Lead architecture design sessions and executive workshops with client engineering and leadership Codify delivery learnings, failure patterns, and engineering standards to scale the FDE practice Travel as needed (0–100%) Travel may be required for this role.
Key requirements:
10+ years in cloud-native systems (APIs, microservices, containerization, serverless) 1+ years designing and deploying agentic solutions in production 2+ years with AI platforms (OpenAI, Claude, Vertex AI) and open-source models, including multi-provider pipelines 10+ years programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability 10+ years deploying to production with CI/CD, IaC (Terraform, Helm), monitoring, and debugging 10+ years experience in client communication, workshops, and operating under ambiguity Bachelor’s degree in Computer Science, Engineering, or equivalent or 12+ years work experience AI certifications or agentic tool experience is a plus strong communication with C-suite ambition to work in ambiguity collaboration and cross-functional teamwork cloud-native architectures agentic AI design (agents, orchestration, context engineering, RAG, workflows) production-grade AI deployments