Senior AI Solutions Engineer - Client-Facing Deployment

EY

Buffalo (NY)

À distance

USD 107 000 - 201 000

Plein temps

Il y a 11 heures
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Avantages offerts par ce poste

Medical and dental coverage
Pension and 401(k) plans
Paid time off options

Résumé du poste

EY is seeking a Senior Forward Deployed Engineer to lead AI/ML initiatives, diagnose business problems with clients, and deliver scalable AI, ML, and agentic systems in cloud or on‑prem environments. You will optimize data pipelines, guide solution delivery from shaping to deployment, and work with a cross‑functional team of data and analytics professionals.

You will engage with clients, translate requirements into scalable AI solutions, supervise development tasks, ensure responsible

Qualifications

  • Bachelor’s degree required (4-year degree).
  • 3–6 years of full‑time working experience in AI and/or Machine Learning.
  • Strong skills in Python.
  • Experience identifying, solutioning, designing, building, deploying, and maintaining high‑impact production AI/ML solutions on a major cloud platform.
  • Proficient in foundation models, generative AI, and agentic AI frameworks (e.g., OpenAI, Dall‑e, Langchain, Retrieval Augmented Generation (RAG)).
  • Experience with ML packages like scikit‑learn and PyTorch.
  • Experience with natural language processing and deep learning.
  • Extensive experience in AI‑assisted and DevOps tools (Claude, Codex, Cursor, GitHub, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines.
  • Experience with MLOps, LLMOps, and AgentOps and ML workflows, including data ingestion, transformation, and evaluation.
  • Experience with model retraining and feedback loop methodologies.
  • Experience with model and solution evaluation, observability, monitoring and reporting.

Responsabilités

  • Working with client stakeholders to translate ambiguous business and process challenges into scoped opportunities, then researching and implementing scalable machine learning, generative AI, and agentic systems that meet business requirements.
  • Designing AI‑native applications, agentic workflows, reusable tools, connectors, and integrations while enhancing data pipelines and storage for optimal data accuracy and cleanliness.
  • Deploying, evaluating, monitoring, and optimizing learning processes to improve high‑performance models.
  • Demonstrating solution value through measurable outcomes, identifying logical next use cases, and traveling as needed to engage with external clients regularly.
  • Using AI‑native development tools such as Claude, Codex, Cursor, and GitHub to accelerate delivery while maintaining software engineering, testing, security, and documentation standards.
  • Creating evaluations, observability, feedback loops, access controls, and human‑in‑the‑loop safeguards to manage quality, safety, reliability, performance, and cost.

Connaissances

Python
AI/ML
Cloud platforms
Data pipelines
Client interaction
Generative AI
DevOps tools
SQL
Pandas/ Spark
Leadership

Formation

Bachelor’s degree

Outils

Claude
Codex
Cursor
GitHub
Azure DevOps
Langchain

Description du poste

EY is seeking a Senior Forward Deployed Engineer to lead AI/ML initiatives, diagnose business problems with clients, and deliver scalable AI, ML, and agentic systems in cloud or on‑prem environments. You will optimize data pipelines, guide solution delivery from shaping to deployment, and work with a cross‑functional team of data and analytics professionals.

You will engage with clients, translate requirements into scalable AI solutions, supervise development tasks, ensure responsible

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