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EisnerAmper

AI Engineer

Boston
Posted 1 day ago
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Job Description

At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you’re starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you’ll love from top to bottom – we give you the tools you need to succeed and the autonomy to reach your goals. Join the EisnerAI team, a fast-growing organization within EisnerAmper that is redefining how professional services harness the power of Artificial Intelligence.

We are seeking a Senior AI Engineer specializing in MLOps and AIOps, who will play a critical role in deploying, operating, and optimizing enterprise-grade AI solutions built on Azure, collaborating closely with AI Developers, Product Owners, Governance leaders, and Cloud Architects to ensure these systems are reliable, scalable, and cost-effective across tax, audit, advisory, and client-facing applications. This role goes beyond traditional DevOps—it’s about engineering AI into the fabric of enterprise operations, enabling secure, observable, and governed machine learning deployments that deliver real business impact.

What it Means to Work for EisnerAmper:

  • You will get to be part of one of the largest and fastest-growing accounting and advisory firms in the industry.
  • You will have the flexibility to manage your days in support of our commitment to work/life balance.
  • You will join a culture that has received multiple top “Places to Work” awards.
  • We believe that great work is accomplished when cultures, ideas, and experiences come together to create innovative solutions.
  • We understand that embracing our differences is what unites us as a team and strengthens our foundation.
  • Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What Work You Will be Responsible For:

  • Deploy and monitor AI models across Azure services with robust telemetry for performance, drift, and availability.
  • Manage model upgrades including APIs and UIs with structured rollout, version control, and rollback support.
  • Optimize performance and cost through testing, profiling, and tuning of inference infrastructure and pipelines.
  • Implement MLOps pipelines for continuous integration, deployment, and lifecycle management using Azure ML and GitHub Actions.
  • Ensure compliant change management for all AI-related deployments, with auditability, security, and governance controls.

Basic Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field.
  • 5-7+ years in MLOps and/or AIOps, ideally within Azure cloud environment with hands-on experience with Azure ML, Synapse, Data Lake, App Services, Cosmos DB, and Azure AI Foundry.

Preferred/Desired Qualifications

  • Consulting background with a strong bias for action.
  • Workflow Design: Prompt flow, automation pipelines, and human-in-the-loop systems.
  • Post-Training Techniques: Fine-tuning, instruction tuning, RLHF, and domain adaptation.
  • Azure DevOps, App Insights, Log Analytics, Key Vault, and Managed Identity integration.
  • Tools for inference performance testing and profiling (e.g., locust, K6, or custom scripts).
  • Model Evaluation: Performance metrics, benchmark development, and A/B testing frameworks.
  • Understanding of model observability, telemetry, and incident response for AI systems.

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EisnerAmper is proud to be a merit-based employer. We do not discriminate on the basis of veteran or disability status or any protected characteristics under federal, state, or local law.

EisnerAmper will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, TN, O-1, E-3, H-1B1, J-1, or any other employment-based visa.)

About EisnerAmper:

EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow.

Our clients represent enterprises of every form, ranging from sophisticated financial institutions to startups, global public firms to middle-market companies, governmental entities, as well as high-net-worth individuals, family offices, nonprofit organizations, and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, investors, and key stakeholders who serve these clients.

Should you need any accommodations to complete this application, please email: talentacquisition@eisneramper.com

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Skills

MLOps
AIOps
Azure
Azure ML
GitHub Actions
Model deployment
Telemetry
Performance tuning
Infrastructure optimization
Governance
Data Lake
Cosmos DB
Prompt flow
Fine-tuning
RLHF
Model observability

Location

Melville, Saskatchewan, Canada

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