Top 136 Infrastructure engineer Jobs in Springfield, Mo

Sr AI Context Engineer
GEHA —Missouri
- $124,666 - $157,710 a year
- Full-time
- Azure
- HIPAA
- SQL
- AD&D insurance
- Disability insurance
Sr AI Solution Architect
GEHA —Missouri
- $138,859 - $175,665 a year
- Full-time
- Computer science
- Azure
- Computer Science
- AD&D insurance
- Disability insurance
IT Support Desk Engineer II
HEARTLAND BUSINESS SYSTEMS LLC —Springfield, MO
- Full-time
- Mid-level
- 3 years
- Conflict management
- On-the-job training
Quick Apply
Infrastructure Engineering Manager
Jack Henry —Springfield, MO
- $180,000 - $215,000 a year
- Full-time
- Supervising experience
- Senior level
- Communication skills
2d
Systems Engineer 1
Pitt Technology Group —Springfield, MO
- Full-time
- Mid-level
- QuickBooks
- Health insurance
- Dental insurance
Quick Apply
Software Engineer (Agentic Development)
Arrow Audiology —Springfield, MO
- $85,000 - $105,000 a year
- Full-time
- Background check
- Mid-level
- Office
- Health insurance
- Dental insurance
Quick Apply
Manufacturing Engineer
John Deere —Strafford, MO
- $67,692 - $101,532 a year
- 18 years or older
- Mid-level
- Experience equivalent to degree accepted
- Health savings account
- Paid holidays
9d
Network Engineer
OMB Bank —Springfield, MO
- Full-time
- Computer Science
- System design
- Office
- Paid jury duty
- AD&D insurance
Principal Platform Engineer (GCP) (Onsite Role)
O'Reilly Automotive Stores —Springfield, MO
- Full-time
- 6 years
- Office
- Master's degree
- Employee stock purchase plan
- Health insurance
Quick Apply
Sr Platform Engineer (Google Cloud) (Onsite Role)
O'Reilly Automotive Stores —Springfield, MO
- Full-time
- Office
- Bachelor's degree
- Organizational skills
- Employee stock purchase plan
- Health insurance
Quick Apply
12d
VDI Engineer
General Dynamics Information Technology —Springfield, MO
- $168,300 - $227,700 a year
- DevOps
- Windows
- Bachelor's degree
- Paid time off
- 401(k) matching
Senior Software Engineer- Full Stack (Java/React)
O'Reilly Automotive Stores —Springfield, MO
- Full-time
- Computer science
- Management
- Computer Science
- Employee stock purchase plan
- Health insurance
Quick Apply
Critical Infrastructure Mechanical Engineer - Marshfield, MO
STN Incorporated —Marshfield, MO
- $90,000 - $115,000 a year
- Full-time
- Background check
- System design
- Office
- Paid holidays
- Health insurance
Senior Software Architect
SECURECOM WIRELESS LLC —Springfield, MO
- Full-time
- Computer science
- Computer Science
- 5 years
- Paid holidays
- Disability insurance
IEC Systems Engineer - TS/SCI
General Dynamics Information Technology —Springfield, MO
- $142,792 - $170,200 a year
- Computer science
- Computer Science
- 8 years
- Paid time off
- 401(k) matching
Director of Technology Spokane R-7 Schools
Spokane R-VII Schools —Spokane, MO
- $46,656.33 - $70,000.00 a year
- Full-time
- Background check
- School experience
- Computer science
- Health savings account
- Health insurance
Quick Apply
2d
Citrix Software Virtualization Engineer
General Dynamics Information Technology —Springfield, MO
- $127,650 - $142,792 a year
- 5 years
- Bachelor's degree
- Travel
- Paid time off
- 401(k) matching
Network Administrator
DIGITAL MONITORING PRODUCTS —Springfield, MO
- Full-time
- System design
- Analysis skills
- Bachelor's degree
- Paid holidays
- Disability insurance
Sr Network Engineer (Onsite Role)
O'Reilly Automotive Stores —Springfield, MO
- Full-time
- Research
- Supervising experience
- Bachelor's degree
- Employee stock purchase plan
- Health insurance
Quick Apply
12d
Managing Director, Technology Operations
Associated Electric Cooperative, Inc. —Springfield, MO
- Full-time
- Bachelor's degree
- Senior level
- Business
- Paid holidays
- Health insurance

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infrastructure engineer jobs near springfield, mo

Sr AI Context Engineer

GEHA -
Missouri

Apply Now

Job Details

Full-time
$124,666 - $157,710 a year

Benefits

AD&D insurance
Disability insurance
Health insurance
Dental insurance
Tuition reimbursement
Paid time off
Vision insurance
401(k) matching
Benefits from day one

Qualifications

AI models
Search engines
Software engineering
Azure
Authorization controls implementation
Software design
Continuous Delivery (CD) implementation
Automation
Tooling
Application security management
Data retrieval time improvement
HIPAA
HITRUST
AI platforms (beyond public GPTs)
Computational framework
SQL
Machine learning cloud services
Collaboration with product development teams
Machine intelligence
Solution architecture design
Cloud security
Data pipeline scheduling
Airflow
Indexing strategies
Metadata tagging
Data access controls implementation
Security Governance (information security management)
Machine learning (ML) fundamentals
Access control management
1 year

Full Job Description

Government Employees Health Association, Inc. (G.E.H.A) is a nonprofit member association that provides health and dental benefits that millions of federal employees and retirees, military retirees and their families have counted on since 1937. Offering one of the largest health and dental benefit provider networks available to federal employees in the United States, G.E.H.A empowers health and wellness by meeting its members where they are, when they need care.

G.E.H.A has one mission: To empower federal workers to be healthy and well.

As a Senior AI Context Engineer in Digital Innovation, you turn raw, structured and unstructured enterprise information—such as policy documents, brochures, and clinical records—into accurate, high-quality context for AI applications. Positioned at the intersection of applied data science and software engineering, you focus on the quality, semantic structuring, and retrieval accuracy of data consumed by G.E.H.A’s AI solutions. You own the extraction, document chunking, vector indexing, and RAG retrieval mechanics that power G.E.H.A’s AI tools.

Operating closely with the Sr. AI Solutions Architect, AI Full Stack Developer, and enterprise partners, you serve as the contextual bridge between the enterprise Data & Analytics, Digital Innovation and enterprise applications. In this role, you establish data enrichment, retrieval and evaluation frameworks that ensure AI agents have fast, secure, and compliant access to business context, all while leveraging enterprise cloud and data infrastructure.

SKILLS

Duties and Responsibilities:

Context Engineering & Retrieval Optimization

Extraction & Chunking: Build and refine advanced structured and unstructured information parsing, layouts processing, and chunking workflows (converting PDFs, clinical notes, data, and policy docs) into high-quality contextual units for LLMs in partnership with cross-functional teams.
Semantic Search & Reranking: Implement hybrid search mechanics, metadata routing, and reranking logic to drastically improve retrieval precision and minimize model hallucinations.
Agentic Context Services: Design context payload specifications and metadata structures that feed into Model Context Protocol (MCP) servers and LLM orchestration tools built by application developers.

Vector Indexing & Retrieval Architecture

Index Design & Optimization: Recommends and implements vector indexing strategies, embedding schemes, and semantic query designs inside enterprise-provisioned vector stores (e.g., Pinecone, pgvector, Azure AI Search) to ensure high-performance, low-latency retrieval.
Vector Metadata: Design and manage sophisticated metadata tagging schemes to enable precise filtering, hybrid search, and domain-specific context retrieval.
Retrieval Evaluation & Groundedness: Establish automated evaluation frameworks to continuously monitor retrieval relevance, context quality, groundedness scores, and embedding drift over time.

Context Security, Compliance & Governance

Healthcare Context Compliance: Ensure all document processing and contextual payloads strictly adhere to HIPAA and HITRUST standards, implementing automated masking and tokenization for Protected Health Information (PHI).
Context-Level Access Control: Ensure role-based access control (RBAC) rules within vector metadata, ensuring AI search queries only return contextual snippets that the active user is authorized to see.
Auditing & Hand-off Lineage: Maintain context tracking and audit logs for prompt payloads, establishing clean data hand-off specifications when transitioning validated innovation prototypes to enterprise Data & Analytics or IT teams.

Collaborative Execution

Reference Pattern Alignment: Build upon the reference architectures, CI/CD templates, and "golden paths" established by the Sr. AI Solutions Architect.
Product Support: Work alongside the AI Product Owner and AI Full Stack Developers to rapidly supply high-accuracy context layers for upcoming GenAI features.

Knowledge, Skills, and Abilities:

Experience: 5+ years of experience in backend software engineering, applied machine learning/search, or data-centric application development.
GenAI & RAG Focus: 1–2 years of hands-on experience specifically optimizing AI and RAG architectures, prompt context strategies, and vector retrieval pipelines for LLM applications.
Programming & Tooling: Advanced proficiency in Python and SQL, alongside familiarity with modern orchestration tools (e.g., Airflow, Prefect, Temporal).
Unstructured Content Parsing: Deep experience using parsing frameworks (e.g., LlamaIndex, Unstructured.io, LangChain document loaders) to process complex layouts, tables, and unstructured documents.
Vector & Search Engines: Hands-on experience working with vector databases, embeddings, and semantic search platforms (e.g., Pinecone, pgvector, Weaviate, Qdrant, Azure AI Search).
Evaluation Frameworks: Familiarity with RAG and LLM context evaluation frameworks (e.g., Ragas, TruLens, Arize Phoenix) to measure retrieval recall, precision, and groundedness.
Data Security & Privacy: Practical experience handling sensitive healthcare data (PHI/PII) within high-compliance software environments.

Work-at-home requirements

Must have the ability to provide a non-cellular High Speed Internet Service such as Fiber, DSL, or cable Modems for a home office.
A minimum standard speed for optimal performance of 30x5 (30mpbs download x 5mpbs upload) is required.
Latency (ping) response time lower than 80 ms
Hotspots, satellite and wireless internet service is NOT allowed for this role.
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

How we value you

Competitive pay/salary ranges
Incentive plan
Health/Vision/Dental benefits effective day one
401(k) retirement plan: company match – dollar for dollar up to 4% employee contribution (pretax or Roth options) plus a 6% annual company contribution
Robust employee well-being program
Paid Time Off
Personal Community Enrichment Time
Company-provided Basic Life and AD&D
Company-provided Short-Term & Long-Term Disability
Tuition Assistance Program

While this is a remote opportunity, at this time G.E.H.A does not hire employees from U.S. territories or the following states: Alaska, Hawaii, California, Washington, Oregon, Colorado, Wyoming, Montana, New York, Connecticut, Vermont, Pennsylvania, Maine.

Please note that the salary information is a general guideline only. G.E.H.A considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as, market and business considerations when extending an offer.

The target hiring range for this position is $124,666 - $157,710 USD. At G.E.H.A, the current maximum salary for this role is $175,734 USD. While initial compensation may vary based on experience and qualifications, there is a path to work toward this top rate through performance and continued growth within the organization.

G.E.H.A is an Equal Opportunity Employer, which means we will not discriminate against any individual based on sex, race, color, national origin, disability, religion, age, military status, genetic information, veteran status, pregnancy, marital status, gender identity, and sexual orientation, as well as all other characteristics and qualities protected by federal, state, or local law. G.E.H.A will not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their compensation or the compensation of another employee or applicant. We are committed to creating an inclusive environment for all employees.

G.E.H.A is headquartered in Lee's Summit, Missouri, in the Kansas City area. We recognize the importance of balance and flexibility and offer hybrid and work-from-home options for many of our roles.

Apply Now

Refine Your Search

infrastructure engineer jobs in springfield, mo

Sr AI Context Engineer

Sr AI Solution Architect

IT Support Desk Engineer II

Infrastructure Engineering Manager

Systems Engineer 1

Software Engineer (Agentic Development)

Manufacturing Engineer

Network Engineer

Principal Platform Engineer (GCP) (Onsite Role)

Sr Platform Engineer (Google Cloud) (Onsite Role)

VDI Engineer

Senior Software Engineer- Full Stack (Java/React)

Critical Infrastructure Mechanical Engineer - Marshfield, MO

Senior Software Architect

IEC Systems Engineer - TS/SCI

Director of Technology Spokane R-7 Schools

Citrix Software Virtualization Engineer

Network Administrator

Sr Network Engineer (Onsite Role)

Managing Director, Technology Operations

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