2 days ago
Base Salary
$180k - $230k/yr
Responsibilities
- Lead enterprise workshops on AI trust, governance, security posture, resilience, and compliance obligations.
- Identify high-value AI use cases and translate business requirements into architectures, integrations, delivery phases, estimates, risks, and statements of work.
- Build prototypes and production components for agent workflows, RAG pipelines, LLM integrations, MCP-based tools, and governance and security controls.
- Develop custom adapters and local tooling for regulated, cloud-restricted, sovereign, or air-gapped environments.
- Own technical client engagements from initial workshop through go-live, including enablement, adoption support, production troubleshooting, and expansion opportunities.
Requirements
- 5+ years of experience in software engineering, solutions architecture, or technical consulting, including at least 2 years of hands-on modern AI/LLM systems experience in real projects.
- Hands-on machine learning experience spanning model development, evaluation, deployment, operationalization, predictive analytics, and scalable MLOps.
- Experience building with LLM APIs and frameworks such as Azure OpenAI, Amazon Bedrock, Google Vertex, LangChain, or Semantic Kernel, including RAG, agentic workflows, and tool or function calling.
- Strong programming skills in Python, C#, or TypeScript and working fluency with Azure, AWS, or Google Cloud Platform, including identity, networking, and data services.
- Ability to scope technical projects from ambiguous requirements, facilitate requirements workshops, define delivery plans, and assess estimates and risks.
- Excellent communication with executives, technical teams, and senior stakeholders, plus willingness to travel to client sites and work autonomously.
- Knowledge of AI governance and compliance frameworks such as the EU AI Act, NIS2, ISO/IEC 42001, NIST AI RMF, or Gartner's AI TRiSM model is preferred.
- Experience with AI security, prompt injection, data leakage, agent permissioning, model and data security posture, MCP, agent runtimes, vector databases, enterprise data governance, regulated industries, or air-gapped environments is preferred.
- Prior forward-deployed, embedded consulting, or customer-facing engineering experience and additional client-region languages are preferred.
Benefits
- Base salary range of $180,000-$230,000, with medical, dental, vision, 401(k) with match, unlimited PTO, and possible bonuses, commissions, or RSUs.
- The role includes travel to client sites and work with regulated, cloud-restricted, sovereign, or air-gapped environments.
Tech Stack
Categories
Forward Deployed
