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Freelance Knowledge Graph Software Engineer Jobs in Wisconsin

$109K - $144K/yr

Model and persist lineage as a queryable knowledge graph supporting impact analysis, root-cause ... Required Qualifications: * 8+ years of software and data engineering experience, including a track ...

The Software Engineer is an individual contributor within a team, responsible for analysis, design ... Knowledge of HL7, XML, XSLT, WSDL, SAML, and XACML. * Project management experience. Skills

The Software Engineer is an individual contributor within a team, responsible for analysis, design ... Knowledge of HL7, XML, XSLT, WSDL, SAML, and XACML. * Project management experience. Skills

Join the Madison Peptide Therapeutics (MPT) Engineering team as an Instrumentation Software ... Experience with one or more database types, including relational, graph, or time-series databases.

Join the Madison Peptide Therapeutics (MPT) Engineering team as an Instrumentation Software ... Experience with one or more database types, including relational, graph, or time-series databases.

Join the Madison Peptide Therapeutics (MPT) Engineering team as an Instrumentation Software ... Experience with one or more database types, including relational, graph, or time-series databases.

Join the Madison Peptide Therapeutics (MPT) Engineering team as an Instrumentation Software ... Experience with one or more database types, including relational, graph, or time-series databases.

A Junior Software Engineer role in Platteville, WI I is currently available at Belcan. In this role ... Knowledge of avionics systems, propulsion systems, or engine control architectures. * Exposure to ...

Software Engineer

Platteville, WI · On-site

$70K - $90K/yr

A Junior Software Engineer role in Platteville, WI I is currently available at Belcan. In this role ... Knowledge of avionics systems, propulsion systems, or engine control architectures. * Exposure to ...

A Junior Software Engineer role in Platteville, WI I is currently available at Belcan. In this role ... Knowledge of avionics systems, propulsion systems, or engine control architectures. * Exposure to ...

Strong knowledge and experience in embedded systems development, including: * Object-oriented ... g., Azure DevOps) * Familiarity with Agile or Scrum software development process in a team ...

Software Engineer As Software Engineer, you will collaborate closely with design, product, and ... Knowledge of build management tools such as Gradle or Maven * Demonstrated understanding of source ...

Possess strong knowledge of computer science fundamentals and software engineering principles. * Haveexpertisewith modern software tools, libraries, and languages, with experience delivering ...

The Software Engineer will participate in all phases of software development life cycle including ... The ideal candidate will have advanced knowledge of one or more programming language (C++, SQL ...

About the Role As Software Engineer, you will collaborate closely with design, product, and ... Knowledge of build management tools such as Gradle or Maven * Demonstrated understanding of source ...

Software Engineer II

Wauwatosa, WI · On-site

$96K - $131K/yr

Knowledge of appropriate standards and regulations * Experience with software management tools ... Engineering or Related field Briggs & Stratton, headquartered in Milwaukee, Wisconsin, provides ...

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Freelance Knowledge Graph Software Engineer information

What cities in Wisconsin are hiring for Freelance Knowledge Graph Software Engineer jobs? Cities in Wisconsin with the most Freelance Knowledge Graph Software Engineer job openings:

Lead AI Engineer, Agentic Data Lineage

UnivEdge Consulting LLC

Hybrid

$109K - $144K/yr

Other

Posted 13 days ago


Job description

Lead AI Engineer, Agentic Data Lineage

Location: Montreal, Canada

Work Type: Hybrid min 3 days work from office per week

Interview rounds: L1 and L2 

JD:

Lead AI Engineer, Agentic Data Lineage
What You Will Do:

  • Define and drive the technical strategy for a Firmwide, column-level data lineage platform built on AI reasoning agents.
  • Architect parsers that build Abstract Syntax Trees (ASTs) from SQL across multiple dialects, stored procedures, Python, Java, Scala, and Spark jobs, then resolve column-level transformations from those trees.
  • Design ingestion of no-code signals from ETL and transformation tools, workflow orchestrators, data catalogs, and BI platforms, normalizing them into a common lineage model.
  • Build a multi-agent system in which specialized deep agents parse, reason, disambiguate, and reconcile conflicting signals, then assemble a coherent end-to-end lineage graph.
  • Establish how agents handle ambiguity (dynamic SQL, runtime configuration, hand-written transformations) by reasoning over context rather than failing silently or guessing.
  • Model and persist lineage as a queryable knowledge graph supporting impact analysis, root-cause tracing, and regulatory evidence generation.
  • Build confidence scoring and validation so every lineage edge carries a provenance signal and a measure of certainty, with low-confidence inferences surfaced for human review.
  • Partner with the Firmwide Data Office, Risk, Compliance, and the divisional technology teams to align the platform with the Firm''s data governance obligations, including BCBS 239, CCAR, GDPR, and SOX.
  • Lead, mentor, and grow a team of AI and data engineers, setting engineering standards, reviewing designs, and owning delivery.
  • Operate within Morgan Stanley''s controls for AI safety, data confidentiality, and model governance.

   
Required Qualifications:

  • 8+ years of software and data engineering experience, including a track record of leading complex platform builds end to end.
  • Strong background in program analysis or compiler techniques: parsing, ASTs, intermediate representations, and static analysis. Hands-on experience with tools such as ANTLR, tree-sitter, sqlglot, or language-native AST libraries.
  • Practical experience building LLM-powered agents or multi-agent systems, including reasoning loops, tool use, retrieval, and orchestration frameworks (LangGraph, LlamaIndex, AutoGen, or equivalent in-house systems).
  • Deep data engineering expertise: SQL fluency across dialects, plus experience with Spark, distributed pipelines, and modern transformation tooling such as dbt.
  • Experience modeling and querying graph data, with a graph database such as Neo4j, Amazon Neptune, or Janus Graph.
  • Strong software engineering fundamentals: testing, CI/CD, and production-grade systems at scale.
  • Demonstrated technical leadership, including mentoring engineers and influencing architecture across teams.

Preferred Qualifications:

  • Experience in financial services, capital markets, or another heavily regulated data environment.
  • Familiarity with data lineage and metadata standards and tools such as OpenLineage, Marquez, DataHub, Apache Atlas, Egeria, Collibra, or Alation.
  • Working knowledge of BCBS 239 data aggregation and risk reporting principles and how they translate into engineering requirements.
  • Experience harvesting metadata from enterprise ETL tools (Informatica, Talend) and BI platforms (Tableau, Power BI).
  • Background in knowledge representation, semantic reasoning, or evaluation of LLM output quality and hallucination control.

   
Tech Stack:
Python, SQL, Spark, and Scala or Java for parsing targets. LLM and agent frameworks for reasoning. Graph databases for lineage storage. Workflow orchestration for pipeline execution. Cloud and on-premise deployment with containerized services. OpenLineage-aligned metadata models.