Forward Deployed AI Engineer
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Job Description
Forward Deployed AI Engineer designing and deploying enterprise-grade AI solutions at Aimpoint Digital. Bridging engineering, strategy, and business to operationalize AI in workflows.
Responsibilities:
- 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:
- 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:
- Health insurance
- Flexible work arrangements
- Professional development opportunities
- Remote work options
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