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. As an AI Engineer specializing in MLOps and AIOps, you 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
- Ensure seamless integration across the platform's Data Management, Governance, AI, Agents and Application layers
- Drive model evaluation frameworks and post-training optimization for custom LLMs and AI agents
- Lead technical development of the EisnerAI Agent Workforce.
- Design agentic frameworks supporting initiation, execution, state management, logging, and error handling
- Ensure adherence to data governance policies and responsible AI practices
Basic Qualifications
- Bachelor’s degree in computer science, Engineering, Data Science, or related technical fieldMaster's degree preferred (Computer Science, AI/ML, or MBA with technical focus)
- 10+ years of software development experience with 5+ years in AI/ML architecture role
- 3+ years of hands-on experience with Azure cloud services and enterprise-scale solutions
Must-Have Skills
- Strong hands-on expertise with Microsoft Azure AI Foundry and the broader Azure AI services ecosystem
- Proven experience with Azure OpenAI Service, including GPT models, prompt engineering, and fine-tuning
- Experience implementing Azure AI Search, including vector search, semantic search, and knowledge mining use cases
- Hands-on experience with Azure Databricks for data engineering and machine learning model development
- Proficiency in at least one programming language such as Python, C#, JavaScript/TypeScript, or SQL
Good-to-Have Skills
- Experience with Azure Machine Learning, including MLOps, model deployment, monitoring, and lifecycle management
- Familiarity with Azure Cognitive Services, such as Document Intelligence, Language Understanding, and Computer Vision
- Working knowledge of AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers
- Exposure to vector databases such as Azure Cosmos DB, Pinecone, or Weaviate
- Experience with DevOps and MLOps practices, including Azure DevOps, GitHub Actions, Docker, and Kubernetes
EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 5000 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 are enterprises as diverse as sophisticated financial institutions and start-ups, global public firms, and middle-market companies, as well as high net worth individuals, family offices, not-for-profit organizations, and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, and investors who serve these clients.
About EisnerAmper India:
EisnerAmper (India) Consultants Pvt. Ltd. (“EA India”) is a subsidiary of Eisner Advisory Group LLC (“EA Group”), which practices in an alternative practice structure with EisnerAmper LLP. EA India employees provide advisory services to clients of EA Group and audit services to clients of Eisner Amper LLP and comply with the professional standards applicable to each of EA India, EA Group and EisnerAmper LLP. EA India employees also provide operational services to EA Group and EisnerAmper LLP. The policies and procedures of EA India, including obligations of confidentiality and non-disclosure, apply to all services provided by EA India employees. All applicants are applying to positions for employment with EA India, and not EA Group or EisnerAmper LLP.
EA India opened its first office in Mumbai in 2007. Over the years, our India footprint has expanded to include offices in Bangalore, Hyderabad, and Ahmedabad. We are a culturally diverse pool of over 900 professionals supporting our global clientele from a range of startups to Fortune 500 entities.
Should you need any accommodations to complete this application please email: [email protected]
Skills Required
- Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field
- 3+ years in MLOps and/or AIOps
- Hands-on experience with Azure ML, Synapse, Data Lake, App Services, Cosmos DB, and Azure AI Foundry
- Deploying and monitoring AI models with telemetry for performance, drift, and availability
- Implementing MLOps pipelines for CI/CD and lifecycle management using Azure ML and GitHub Actions
- Consulting background with bias for action
- Workflow design: Prompt Flow, automation pipelines, human-in-the-loop systems
- Post-training techniques: fine-tuning, instruction tuning, RLHF, domain adaptation
- Azure DevOps, Application 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 skills: performance metrics, benchmark development, A/B testing frameworks
- Understanding of model observability, telemetry, and incident response for AI systems
EisnerAmper Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EisnerAmper and has not been reviewed or approved by EisnerAmper.
-
Fair & Transparent Compensation — Fair & Transparent Compensation: Pay is considered competitive within public accounting in several practices and locations. Satisfaction tends to rise when bonuses are included in total compensation.
-
Strong & Reliable Incentives — Strong & Reliable Incentives: Bonus eligibility appears broad across the firm. Consistent access to bonuses strengthens overall pay perceptions.
-
Parental & Family Support — Parental & Family Support: Paid parental leave is paired with family‑building support through Progyny. These offerings indicate attention to diverse family needs.
EisnerAmper Insights
What We Do
EisnerAmper, one of the largest business consulting firms in the world, is comprised of EisnerAmper LLP, a licensed independent CPA firm that provides client attest services; and Eisner Advisory Group LLC, an alternative practice structure that provides business advisory and non-attest services in accordance with all applicable laws, regulations, standards and codes of conduct. Clients are in all business sectors and leverage a complete menu of service offerings. Our combined entities include more than 350 partners and nearly 4,000 employees. For more information, please visit eisneramper.com, and be sure to follow us on Twitter, LinkedIn & Facebook.
