Senior Associate, Applied AI Engineer

Core SpacesChicago, IL
7d$150,000 - $160,000Hybrid

About The Position

The Senior Associate, Applied AI Engineer works closely with the AI Architect to design, implement, evaluate, and operationalize AI agents and automation workflows across the organization. This role focuses on applying modern AI techniques related to retrieval-augmented generation (RAG), agent frameworks, and evaluation methodologies all contained within a Databricks-centric data platform and Microsoft Copilot Studio–based agent ecosystem. This is a hands-on role centered on building reliable, auditable AI systems that integrate deeply with enterprise data, analytics, and business processes. The position does not have direct reports and operates as a junior partner to the AI Architect, supporting architectural vision through implementation and validation.

Requirements

  • 2–5 years of experience in applied AI, ML engineering, data science, or analytics engineering
  • Bachelor's Degree in Computer Science, Machine Learning, Data Science, Applied Mathematics, or a related field (or equivalent practical experience)
  • Solid understanding of data structures, algorithms, and software engineering principles
  • Proficiency in Python and Machine Learning frameworks

Nice To Haves

  • Databricks (Delta Lake, notebooks, jobs, MLflow, feature pipelines)
  • Retrieval-Augmented Generation (RAG) and embedding workflows
  • Microsoft Copilot Studio or Power Platform–based automations
  • Vector databases and semantic search patterns
  • LLM evaluation, prompt iteration, and agent testing
  • Cloud platforms such as Azure (preferred), AWS, or GCP

Responsibilities

  • AI Agent & RAG Implementation
  • Build and implement AI agents using retrieval-augmented generation (RAG), tool calling, and orchestration frameworks
  • Leverage Databricks (Delta Lake, notebooks, jobs, MLflow) as the primary environment for data preparation, experimentation, and evaluation
  • Configure embeddings, vector stores, retrieval strategies, and prompt logic to support accurate, grounded responses
  • Implement and extend agents within Microsoft Copilot Studio, integrating enterprise data, workflows, and APIs
  • Assist the AI Architect in translating reference architectures into working agent implementations
  • Evaluation, Accuracy & Auditing
  • Audit AI agent behavior for accuracy, completeness, and alignment with business intent
  • Design and run evaluation workflows using Databricks (test datasets, regression checks, qualitative reviews)
  • Identify failure modes such as hallucinations, retrieval gaps, or tool misuse and recommend corrective strategies
  • Support monitoring and iteration of deployed agents to maintain reliability over time
  • Data & Platform Enablement
  • Prepare and curate structured and unstructured data for retrieval and grounding
  • Assist with document ingestion pipelines, chunking strategies, metadata enrichment, and indexing in Databricks
  • Collaborate with data engineering teams to ensure AI workflows align with Lakehouse standards and governance
  • Support integration between Databricks outputs and Copilot Studio agents
  • Responsible AI & Compliance
  • Cross-Functional Collaboration
  • Partner with product managers to translate business needs into agent behaviors and success criteria
  • Work with stakeholders to validate AI outputs against real-world use cases
  • Clearly communicate system behavior, limitations, and tradeoffs to non-technical audiences
  • Cross-Functional Collaboration
  • Partner with product managers, engineers, and domain experts to define problem statements and success metrics
  • Communicate complex technical concepts to non technical stakeholders in a clear, concise manner
  • Occasional travel may be necessary as needed
  • Perform all other duties and tasks as assigned by management
  • Must be able to complete all physical requirements of this role with or without a reasonable accommodation

Benefits

  • A culture that provides you with a sense of belonging
  • Hybrid or remote work options may vary by role to support work-life balance
  • Competitive pay that values your contributions
  • Incentives designed to reward your achievements
  • Paid flexible PTO to disconnect or celebrate life milestones
  • Paid 14+ holidays, including your birthday, to disconnect and celebrate
  • Paid Parental Leave that begins after 90 days
  • Paid volunteer time off to give back to your community
  • Monthly workshop weeks; fewer meetings & more collaboration
  • Robust health plan options that begin within at least 30 days of your employment
  • Monthly phone reimbursement
  • Wellness allowance and perks, including a yearly subscription to a meditation app
  • An environment that provides you a voice to share your perspectives
  • Employee Assistance Program (EAP) for access to confidential support services
  • Company retirement options including 401(k) + matching & Roth account option
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