Senior AI Delivery Engineer

New

Location: Remote - United States. Must be based in the United States.Full-TimeSenior

SalaryThe base salary range in New York City for this position is $175,000 - $195,000 OTE, (base salary plus opportunities for bonus and/or commission). Compensation in other geographies may vary.

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Job Details

Required Skills: Prompt Engineering

Requirements

Have hands-on experience designing and delivering production AI solutions, agents, copilots, automations, or generative AI applications for enterprise customers.
Bring deep expertise in at least one enterprise AI platform and the ability to become productive quickly on a second.
Have experience integrating AI solutions with enterprise identities, permissions, APIs, business applications, documents, knowledge bases, and data sources.
Understand retrieval-augmented generation, grounding, embeddings, vector or hybrid search, prompt and flow engineering, model selection, evaluation, guardrails, observability, and human oversight.
Have experience delivering directly to enterprise customers through discovery sessions, workshops, technical design discussions, prototypes, build reviews, user testing, and knowledge transfer.
Be able to translate business processes and user needs into practical AI experiences, technical designs, implementation plans, and measurable outcomes.
Have strong written communication and experience producing solution designs, prompt and flow documentation, implementation guides, test plans, governance materials, and executive recommendations.
Have working knowledge of APIs, authentication, data integration, scripting, low-code or pro-code automation, source control, and testing practices.
Be able to manage multiple technical workstreams and make sound decisions with incomplete information.
Be based in the United States.
Be able to travel up to 25% as required.

Responsibilities

Lead the technical AI workstream with client teams across alignment, design, implementation, adoption, and close.
Facilitate working sessions, use-case prioritization, prompt and flow design, build reviews, testing, and executive readouts.
Implement agents, copilots, automations, knowledge experiences, and generative AI workflows grounded in business processes, enterprise data, identity, permissions, APIs, and systems.
Translate client priorities, user needs, operating constraints, and risk considerations into AI use cases, solution designs, implementation plans, and measurable deliverables.
Build proofs of concept and prototypes to test integrations, model choices, evaluation methods, guardrails, human oversight, and user experience.
Develop reusable AI reference architectures, agent patterns, prompt and flow libraries, evaluation approaches, implementation playbooks, and governance templates.
Partner with sales, solution architects, and practice leaders on discovery, technical validation, estimates, proposals, and Statements of Work.
Guide multidisciplinary teams, establish AI engineering and quality standards, mentor colleagues, review solutions and prompts, and resolve technical blockers.
Contribute to service-offer development, team enablement, delivery methods, governance, responsible AI practices, and engagement quality.
Identify and escalate security risks and contribute to remediation efforts.

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