AI Engineer (Hybrid)

1872 Consulting; Boston (MA); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A notable consulting firm in Boston is seeking a Mid-Senior Account Director for Enterprise Talent Solutions. This role focuses on leading enterprise AI initiatives, including the design and deployment of AI solutions that enhance corporate functions and construction sites. The ideal candidate will have extensive experience in AI engineering and a strong background in deploying AI systems across production environments. You will collaborate closely with corporate leaders to drive innovative solutions and improve business outcomes. Competitive benefits including medical, vision insurance, and a 401(k) plan offered.

Qualifications

• 4+ years in AI engineering, data science, or ML-focused software engineering.
• Proven experience in building and deploying AI solutions.
• 2+ years of hands-on experience with LLMs and RAG pipelines.

Responsibilities

• Collaborate with corporate functions to identify AI opportunities.
• Develop production-ready AI agents with multiple frameworks.
• Design and operate retrieval-augmented generation pipelines.
• Implement integrations across OpenAI and Azure services.
• Deliver ETL/ELT pipelines and event-driven connectors.
• Support onboarding and training for users.
• Produce clear technical documentation for AI solutions.
• Ensure compliance with data governance and security.

Skills

AI engineering

Data science

Software engineering

Production AI agents

LLMs experience

RAG pipelines

Tools

Power Apps

ChatGPT Enterprise

Databricks

Azure OpenAI

AWS Bedrock

Job description

Base pay range

$130,000.00/yr - $190,000.00/yr

Account Director - Enterprise Talent Solutions

Boston, MA - 3 days onsite / 2 days remote

Role Summary

As the technical engineer driving the company’s enterprise AI programs, you will design, build, and support AI solutions that scale across corporate functions and construction sites nationwide. You will work closely with executives, functional leaders, and onsite AI Engineers to identify high-impact opportunities, translate business needs into technical solutions, and ensure consistency in deployment. This role is both hands‑on in engineering and strategic in scope, advancing the company’s “Construction Site of the Future” vision through corporate‑driven AI initiatives.

Responsibilities

• Enterprise Workflow Analysis: Collaborate with corporate functions (Finance, HR, Operations, Safety) and project leaders to identify pain points and AI opportunities that can be standardized across the company.
• AI Agent Development: Build and deploy multiple production‑ready AI agents using Copilot Studio, Power Apps/Automate, ChatGPT Enterprise, or Python‑based frameworks. Integrate agents into Teams/SharePoint on the front end and Databricks Lakehouse or other enterprise data sources on the back end.
• RAG Pipelines & LLMOps: Design and operate retrieval‑augmented generation (RAG) pipelines with Databricks Delta Tables, Unity Catalog, and Vector Search (or Spark/Hadoop equivalents). Monitor cost, latency, adoption, and model drift across sites.
• Cross‑Cloud Engineering: Implement and maintain integrations across OpenAI, Azure OpenAI, and AWS Bedrock services with secure custom connectors.
• Data Integration: Partner with Data Engineering to deliver ETL/ELT pipelines, APIs, and event‑driven connectors that enable enterprise‑wide AI solutions.
• Adoption & Change Enablement: Support onboarding and training for both corporate users and field teams, track adoption metrics, and iterate solutions for stronger business impact.
• Documentation & Communication: Produce clear technical documentation, user stories, and specs for AI solutions, while translating outcomes into business value for corporate leadership.
• Governance & Compliance: Ensure all AI solutions meet the company’s data governance, security, and compliance requirements.

Qualifications

• 4+ years in AI engineering, data science, or ML‑focused software engineering.
• Proven experience building and deploying multiple AI agents in production environments.
• 2+ years of hands‑on experience with LLMs, RAG pipelines, and LLMOps practices.

Bonus Points

• Traditional software engineering background

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology, Construction

Benefits

• Medical insurance
• Vision insurance
• 401(k)