Data Engineer - AI, Agents, & Context - Clinical (Sr. Associate)Huron Consulting Group • Chicago, Illinois, United States
Data Engineer - AI, Agents, & Context - Clinical (Sr. Associate)
Huron Consulting Group
- Chicago, Illinois, United States
- Chicago, Illinois, United States
About
Key Responsibilities Build and contribute to the AI context platform
Implement end‑to‑end pipelines: ingestion → parsing/chunking → enrichment → embeddings → vector indexing → retrieval/serving
Build and maintain patterns for incremental refresh, backfills, re‑embeddings, deduplication, and lineage across unstructured sources
Contribute to retrieval quality improvements (query strategies, hybrid search, metadata filtering) in partnership with AI engineers
Deliver semantic and governed data products
Implement semantic layers (metrics/entities) that power BI and agent reasoning consistently
Apply established data contracts and context contracts for AI inputs (schemas, metadata requirements, freshness, citation expectations)
Ensure datasets and indexes are documented and reusable
Operational excellence
Support reliability and performance across assigned workstreams: monitoring, alerting, runbooks, and incident response
Contribute to cost and latency optimization across warehouse/lakehouse and vector infrastructure
AI safety and compliance
Apply security‑by‑design patterns: RBAC/ABAC, PII redaction, retention controls, and audit logging
Follow established guardrails for AI access to enterprise knowledge in coordination with Security/Legal/Compliance
Travel Expectations
Ability to travel as needed up to 4 times per year.
Required Qualifications
3–6 years in data engineering or data platform roles with strong hands‑on delivery
Strong SQL and Python (or Scala/Java); solid production engineering habits
Experience designing and operating cloud data pipelines at scale
Experience working with unstructured data processing and search/retrieval concepts
Clear communicator who can work effectively across technical and functional teams
Preferred Qualifications
Hands‑on experience with vector search and embeddings (pgvector/Pinecone/Weaviate/OpenSearch/Elastic) and retrieval patterns (semantic retrieval, hybrid search, reranking)
Experience supporting LLM applications (RAG, agent tool interfaces, evaluation/observability)
Familiarity with knowledge graphs/semantic modeling or metrics layers
Experience in regulated environments and data governance programs
Example Success Measures
Measurable improvement in AI outcomes: higher retrieval precision/recall, better citation coverage, fewer “missing context” failures
Reduced latency/cost per retrieval and improved platform reliability (SLO attainment, lower MTTR)
Consistent application of semantic definitions and context contracts across assigned workstreams
Delivery quality: production‑ready outputs with minimal rework, well‑documented and maintainable
Behavioral Attributes
Eager to learn the domain: Proactively builds familiarity with healthcare processes, terminology, and KPIs – can engage credibly with SMEs and ask the right clarifying questions
Collaborative and stakeholder‑aware: Works well with engineers, consultants, and functional partners; communicates progress and flags risks clearly
Consultative problem‑solver: Approaches requests with a “diagnose before prescribe” mindset – proposes options and works toward durable solutions rather than one‑off fixes
High ownership and follow‑through: Treats reliability, documentation, and operational readiness as part of the work; finishes what they start; holds a high bar for production quality
Clear communicator: Can go deep with engineers and explain concepts plainly to non‑technical partners; writes solid docs and runbooks
Pragmatic builder: Biases toward shipping value in iterations, validating with users, and improving based on feedback
Comfortable with ambiguity: Adapts quickly in evolving AI/data product environments and turns unclear goals into actionable tasks
Integrity and stewardship: Handles sensitive data responsibly and respects established governance patterns
The estimated base salary for this job is $110,000 - $150,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $123,200 - $177,000 USD. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.
Huron Consulting Group offers a competitive compensation and benefits package including medical, dental, and vision coverage to employees and dependents; a 401(k) plan with a generous employer match; an employee stock purchase plan; a generous Paid Time Off policy; and paid parental leave and adoption assistance. Our Wellness Program supports employee total well‑being by providing free annual health screenings and coaching, bank at work, and on‑site workshops, as well as ongoing programs recognizing major events in the lives of our employees throughout the year. All benefits and programs are subject to applicable eligibility requirements.
Huron is fully committed to providing equal employment opportunity to job applicants and employees in recruitment, hiring, employment, compensation, benefits, promotions, transfers, training, and all other terms and conditions of employment. Huron will not discriminate on the basis of age, race, color, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship or any other status protected by laws or regulations in the locations where we do business. We endeavor to maintain a drug‑free workplace.
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Languages
- English
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