AI Engineer

New York, NY, US • Posted 7 days ago • Updated 7 days ago
Contract W2
12 Months
75% Travel Required
On-site
$60 - $70/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Agentic
  • LLM
  • azure
  • tax

Summary

Greetings,

Position: AI Engineer

Location: NYC - Midtown Manhattan (2 days onsite Hybrid). Local candidates only.

Visa: Independent

Type of Hire: FTC

Rate: 70 $ P/H.

JD:

Role Overview

We are looking for a highly skilled AI Tech Lead to architect and deliver governed AI, document intelligence, and intelligent automation solutions. The role focuses on designing evidence-grounded agentic workflows that combine LLM reasoning, deterministic validation, human review, and enterprise governance.

Agentic AI & Intelligent Automation

  • Design governed agentic workflows, including single-agent and multi-agent patterns where appropriate.
  • Define the appropriate balance of LLM reasoning, deterministic rules, validation services, and human review based on business risk.
  • Build workflows with confidence handling, exception queues, reviewer actions, risk-aware controls, and traceable decision making.

Document Intelligence & Evidence-Grounded AI

  • Architect evidence-grounded AI workflows for document-heavy Audit, Tax, Advisory, and benefits-administration use cases.
  • Design extraction and decision workflows with source traceability, confidence handling, and reproducible audit artifacts.
  • Ensure AI outputs are explainable and evidence-backed.

Production Engineering & Azure Ownership

  • Own secure Azure production architecture including Entra ID, APIs, Container Apps, Functions, AI Search, observability, and operational readiness.
  • Drive deployment, release controls, rollback readiness, incident diagnosis, and cost optimization.

Evaluation, Governance & Quality

  • Establish evaluation, regression, traceability, and approval mechanisms for prompts, models, configurations, and business-rule changes.
  • Develop benchmark datasets, drift analysis, validation frameworks, and quality gates.

Leadership

  • Translate ambiguous client and SME needs into scoped technical designs, delivery plans, acceptance criteria, and risk decisions.
  • Lead client-facing technical discovery and mentor engineers through design, implementation, testing, and production support.

Required Skills

  • Azure OpenAI, RAG, Azure AI Search, Azure Document Intelligence
  • Python, FastAPI, REST APIs, SQL, Microservices
  • Azure Container Apps, Azure Functions, API Management, Entra ID, Docker
  • LLMOps, evaluation, regression testing, monitoring and observability
  • React integration, MCP concepts, coding agents (Codex, Claude Code)
  • Audit, Tax, Advisory, Benefits Administration domain experience


Thanks
Nikhil
Email id:
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10114281
  • Position Id: 9026965
  • Posted 7 days ago
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