31/07/2026
AI Forward Deployed Engineer
Location: Hybrid occasional client travel
Experience: Open range (mid to senior candidates encouraged to apply)
Reach out to us for assistance or apply directly.
An AI Forward Deployed Engineer works directly with DeepThink's customers to design, build, and deploy AI-powered solutions that solve real business problems. It's a hybrid role that combines software engineering, AI/ML implementation, solution architecture, and customer engagement, taking a client's business requirements and turning them into a working, production-ready solution built on DeepThink's platform.
This is not a core platform-development role. You'll be the one on the ground with the client, from initial discovery through go-live.
Key Responsibilities
Collaborate with customers, on-site and remotely, to understand business needs and identify opportunities where AI and automation can help.
Design, build, and deploy AI applications and automated workflows using Python, LLMs, and agentic tools on DeepThink's platform, in collaboration with the core solution team
Integrate solutions with existing systems, APIs, databases, and enterprise platforms, every client's environment is different, so comfort learning new systems is essential.
Inventory and model each client's data sources, and structure that understanding into a clear, prioritized plan of what to build and in what order.
Prototype, test, and iterate on solutions in a sandbox to ensure they're accurate, reliable, and deliver real business value before going live.
Provide technical guidance, troubleshoot issues, and optimize deployed solutions post-launch.
Own your engagements with a high degree of autonomy, while keeping leadership informed with clear visibility into progress and risks.
Spend extended periods of time on site with customer, a large portion of which will be international customers globally
Key Skills
Strong software engineering skills, particularly Python.
Experience with LLMs, prompt engineering, and agentic or automation workflows.
Solid understanding of APIs, databases (SQL), and system integration, with the range to work across varied enterprise tech stacks.
Strong data modeling skills — able to walk into a client's environment and independently make sense of their systems and data.
Excellent communication and customer-facing consulting skills; comfortable presenting to both technical and non-technical stakeholders.
Highly organized, with the ability to bring structure and prioritization to loosely-defined or evolving environments.
Willingness and ability to meet clients in person as needed, especially for local accounts.
Nice to Have
Cloud platform experience (AWS, Azure, or GCP).
Familiarity with agent/workflow orchestration frameworks (e.g., LangGraph).
Prior experience in a client-facing, consulting, or implementation engineering role.
This role is ideal for engineers who enjoy combining deep technical expertise with direct customer collaboration to deliver impactful, real-world AI solutions.
