Aimpoint Digital is a market-leading data, AI, analytics, and operations research advisory and solution engineering firm. We help organizations design, build, and operationalize enterprise-grade data and AI platforms, decision intelligence solutions, optimization systems, and production AI applications.

We are not a commodity consulting firm. We are a technical partner to organizations that need to move beyond experimentation and deploy AI into real business workflows with the architecture, governance, reliability, and engineering discipline required for production.

As enterprises accelerate adoption of Claude and agentic AI systems, we are building a specialized team of Forward Deployed AI Engineers who can help clients move from strategy and experimentation into production-scale impact.

About the Role

As a Forward Deployed AI Engineer – Claude, you will work directly with enterprise clients to identify, design, build, and deploy high-impact AI solutions using Claude and the broader enterprise AI ecosystem.

This role sits at the intersection of engineering, strategy, product thinking, and client delivery. You will be expected to operate close to the customer, understand business workflows, decompose complex processes, design AI-native architectures, and build solutions that are governed, secure, and measurable.

You will not be providing high-level advisory – You will help architect, prototype, build, evaluate, and operationalize AI systems that change how enterprises operate.

This is a senior level role within the organization at the L5 level.

What You Will Do

• Work directly with business and technical stakeholders to identify high-value AI use cases and translate business problems into executable technical solutions.
• Design and build enterprise-grade Claude enabled applications, agentic workflows, workflow copilots, knowledge assistants, and decision-support systems.
• Help enterprise clients rationalize Claude licensing types, evaluate usage models, and design an overall licensing strategy aligned to adoption, governance, cost management, and business value.
• Lead discovery sessions that map business processes, identify automation opportunities, assess human-in-the-loop requirements, and define measurable business outcomes.
• Develop AI solution architectures that integrate Claude with enterprise systems, data platforms, APIs, vector databases, orchestration layers, and approval workflows.
• Design and implement retrieval-augmented generation systems, tool-using agents, evaluation harnesses, prompt and context strategies, memory patterns, and guardrail frameworks.