Forward Deployed AI Engineer

Aimpoint Digital

Forward Deployed AI Engineer designing and deploying enterprise-grade AI solutions at Aimpoint Digital. Bridging engineering, strategy, and business to operationalize AI in workflows.

Posted 5/23/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonReactTypeScript

About the role

Key responsibilities & impact

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.
Build prototypes quickly, then harden successful solutions into production-ready systems with proper observability, reliability, security, access control, and governance.
Partner with client executives, product owners, technical teams, legal, compliance, and security stakeholders to align AI solutions with enterprise risk requirements.
Develop reusable solution patterns, accelerators, technical demos, reference architectures, and thought leadership that strengthen Aimpoint Digital’s Anthropic practice.
Help clients define their AI operating model, including governance, model evaluation, adoption workflows, business ownership, and ongoing performance measurement.
Serve as a trusted advisor and hands-on builder for organizations adopting Claude across mission-critical workflows.

Requirements

What you’ll need

Strong software engineering fundamentals with experience building production applications, APIs, data pipelines, AI applications, or enterprise software systems.
Hands-on experience with Claude, including prompt engineering, tool use, RAG, agents, evaluation, and production deployment patterns.
Ability to work directly with clients, navigate ambiguity, and translate business workflows into technical architectures and implementation plans.
Familiarity with enterprise AI architecture patterns, including model gateways, orchestration frameworks, vector search, access control, observability, evaluation, and governance.
Experience with Python and modern application development practices.
Exposure to TypeScript, React, FastAPI, LangGraph, LlamaIndex, or similar frameworks is a plus.
Understanding of cloud and data platforms such as AWS, Azure, GCP, Snowflake, Databricks, or similar environments.
Ability to communicate clearly with both executives and deeply technical stakeholders.
Comfort operating in fast-moving environments where the answer is not always defined upfront.

Benefits

Comp & perks

Health insurance
Flexible work arrangements
Professional development opportunities
Remote work options

ATS Keywords

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Hard Skills & Tools

software engineeringproduction applicationsAPIsdata pipelinesAI applicationsenterprise software systemsprompt engineeringretrieval-augmented generationPythonTypeScript

Soft Skills

client communicationnavigating ambiguitytranslating business workflowstrusted advisorproblem-solvingcollaborationleadershipadaptabilityperformance measurementstakeholder alignment