AI Architect - Forward Deployed (Remote)
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Forward Deployed AI Architect. In this role, you will directly engage with enterprise clients to deploy impactful AI solutions tailored to their unique environments. You will navigate complex challenges, translating high-level designs into functional systems while ensuring reliability in production settings. Your work will have a significant impact on the way large organizations implement AI, facilitating transformation in their processes and operations. We seek a proactive problem-solver who thrives under pressure and can effectively advocate for technical solutions in dynamic client interactions.
Accountabilities
- Work side by side with clients, PMs, and Architects to scope and deploy AI systems that actually solve problems.
- Build and integrate systems using LLMs, RAG pipelines, agent frameworks, vector databases, and related tools.
- Navigate real-world challenges: data access, authentication, security, networking, and brittle enterprise environments.
- Translate high-level designs into working components that deliver measurable outcomes.
- Debug relentlessly - optimize for reliability in production, not just elegance in code.
- Write modular, reusable code that balances speed of delivery with long-term maintainability.
- Embed with client engineering teams to accelerate adoption and integration.
- Share insights from field implementations to inform reusable components in our platform.
- Document decisions with clarity so both clients and internal teams can build on your work.
Benefits
- Impact: Ship AI systems that don’t just demo well but run at scale in Fortune 500 enterprises.
- Growth: Stay hands-on with cutting-edge frameworks while developing field-tested instincts.
- Variety: Solve problems across industries, from finance to healthcare to defense.
- Culture: Work in a team that prizes resilience, creativity, and winning over process.
- Trajectory: Build both your technical and consulting muscles in one of the most demanding roles in AI delivery.
Requirements
- 5+ years of engineering experience, with proven work shipping AI/ML systems into production.
- Strong Python skills and deep familiarity with modern AI/ML frameworks (LangChain, LlamaIndex, Hugging Face, vector databases).
- Hands-on with cloud deployment, orchestration, CI/CD, and distributed environments (AWS, Azure, GCP).
- Ability to debug gnarly real-world issues (auth failures, networking black holes, flaky data pipelines).
- Problem-solver who thrives in ambiguity, focused on delivery and reliability over process and ceremony.
- Comfortable in client-facing environments - credible with engineers, clear with executives.
