Forward Deployed AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate closely with both business and technical stakeholders to pinpoint high-value AI applications and convert business challenges into actionable technical solutions.

• Design and develop enterprise-grade applications powered by Claude, including agentic workflows, workflow copilots, knowledge assistants, and decision-support systems.

• Assist enterprise clients in rationalizing Claude licensing options, assessing usage models, and formulating a comprehensive licensing strategy that aligns with adoption, governance, cost management, and business value.

• Facilitate discovery sessions to map out business processes, identify automation opportunities, evaluate human-in-the-loop requirements, and establish measurable business outcomes.

• Create 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.

• Rapidly build prototypes, then solidify successful solutions into production-ready systems with appropriate observability, reliability, security, access control, and governance.

• Collaborate with client executives, product owners, technical teams, legal, compliance, and security stakeholders to ensure AI solutions meet enterprise risk requirements.

• Develop reusable solution patterns, accelerators, technical demonstrations, reference architectures, and thought leadership that enhance Aimpoint Digital’s Anthropic practice.

• Assist clients in defining their AI operating model, encompassing governance, model evaluation, adoption workflows, business ownership, and ongoing performance measurement.

• Act as a trusted advisor and hands-on builder for organizations implementing Claude within mission-critical workflows.

⛳️ Requirements

• Solid software engineering fundamentals with experience in developing production applications, APIs, data pipelines, AI applications, or enterprise software systems.

• Practical experience with Claude, including prompt engineering, tool usage, RAG, agents, evaluation, and production deployment methodologies.

• Ability to work directly with clients, manage ambiguity, and translate business workflows into technical architectures and implementation strategies.

• Familiarity with enterprise AI architecture patterns, including model gateways, orchestration frameworks, vector search, access control, observability, evaluation, and governance.

• Proficiency in Python and modern application development practices.

• Exposure to TypeScript, React, FastAPI, LangGraph, LlamaIndex, or similar frameworks is advantageous.

• Understanding of cloud and data platforms such as AWS, Azure, GCP, Snowflake, Databricks, or similar environments.

• Ability to communicate effectively with both executive leadership and highly technical stakeholders.

• Comfort in fast-paced environments where answers may not always be readily available.

🏝️ Benefits

• Health insurance

• Flexible work arrangements

• Professional development opportunities

• Remote work options