Enterprise AI Solutions Architect (Forward Deployed Engineering)
About the role
The position is for a senior, architect-level AI-Focused Forward Deployed Engineer who will drive enterprise adoption of advanced AI tools for software engineering. The role involves being the primary technical interface for clients, leading onboarding and enablement workshops, translating business needs into AI workflows, troubleshooting, supporting integrations, and building client self-sufficiency. The ideal candidate will have significant experience in software engineering, technical customer roles, or AI enablement, and will work closely with enterprise clients to ensure successful adoption and value realization from AI solutions. The company is an American AI firm based in San Francisco, known for developing autonomous AI software engineers.
Must have
- 10+ years of relevant industry experience in software engineering, technical customer roles, or AI enablement and transformation
- Architect-level expertise, capable of providing rapid, effective solutions to complex and evolving challenges
- Strong exposure to enterprise-scale systems, large-scale integrations and complex architectures
- Experience working with large multi-national organisations in leadership or architecture roles
- Degree from a top-ranked engineering university
- Demonstrated career stability, with no frequent job changes
- Familiarity with AI/ML tools, platforms, and workflows
- Proficiency in at least one language (Python, Java, .Net, etc.) and APIs
- Ability to explain complex AI concepts to non-technical stakeholders
- Excellent communication and stakeholder management skills
- Willingness to travel to client sites occassionally
- LLM/prompt engineering experience, enterprise SaaS exposure, consulting or solution engineering background.
- You're a fit if you're customer-first, hands-on, comfortable with ambiguity, and motivated by delivering tangible client outcomes.
Technologies
- .NET
- Java
- LLM
- Machine Learning
- Prompt Engineering
- Python
- SaaS
Highlights
This is a long-term contract role with a hybrid work arrangement. Working days are Monday to Friday, and hours depend on project requirements. Occasional travel to client sites is required. The position offers great remuneration, flexible work arrangements, performance bonuses, private health insurance, and opportunities for accelerated career growth.
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