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Algorithmic Engineer Jobs in Tennessee (NOW HIRING)

KANINI

Business Process Engineer

Nashville, TN · On-site

Title AI Business Process Engineer Location : Denver CO Duration : Long Term We are seeking a ... Create standard operating procedures (SOPs) that bridgethe gap between algorithmic predictions and ...

APCO International

SC - GIS Engineer

Memphis, TN · On-site

Knowledge of algorithms, data structures, and various programming languages behind GIS application development. Attention to detail is a must. Experience with Amazon Web Services (AWS) or other ...

CGI Inc.

AI/ML Engineer

Knoxville, TN · On-site

... algorithms and simulations; optimize models for real world performance and cost. . Full Stack Engineering o Implement front end (HTML/CSS/JavaScript; React or Angular) and back end services (Python ...

Indeed

Machine Learning Engineer III

Nashville, TN

Partner with cross-functional teams to enhance and optimize search algorithms for improved accuracy ... Mentor and grow other software engineers and Machine Learning Engineers across teams * Break down ...

ITW Automotive

Manufacturing Engineer

Gallatin, TN

$68K - $88K/yr

The Manufacturing Engineer will report to the Manufacturing Engineering Supervisor and will be ... Design and implementation of sensor processing algorithms for signal processing, sensor control ...

CGI

AI/ML Engineer

Knoxville, TN

... algorithms and simulations; optimize models for real world performance and cost. . Full Stack Engineering o Implement front end (HTML/CSS/JavaScript; React or Angular) and back end services (Python ...

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All JobsAlgorithmic Engineer JobsAlgorithmic Engineer Jobs in Tennessee

Algorithmic Engineer information

See Tennessee salary details

$54K

$101.3K

$184.2K

How much do algorithmic engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for algorithmic engineer in Tennessee is $101,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,100.00 and $120,300.00 per year, depending on experience, location, and employer.

What is the difference between Algorithmic Engineer vs Data Scientist?

AspectAlgorithmic EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related fields; programming skillsBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems; often in tech or finance industriesAnalyzes data to extract insights; works in tech, finance, healthcare, and more
Employer & Industry UsageTech companies, finance firms, R&D departmentsTech companies, consulting firms, research institutions

While both roles require strong programming and analytical skills, Algorithmic Engineers focus on designing and implementing algorithms for systems and applications, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in tech environments but serve different primary functions.

What are popular job titles related to Algorithmic Engineer jobs in Tennessee? For Algorithmic Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Algorithmic Engineer jobs in Tennessee look for? The top searched job categories for Algorithmic Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Algorithmic Engineer jobs? Cities in Tennessee with the most Algorithmic Engineer job openings:
Algorithmic Engineer jobs near you
Business Process Engineer

Business Process Engineer

KANINI

Nashville, TN • On-site

Contractor

Posted 4 days ago

Job description

Job Description
Title AI Business Process Engineer
Location : Denver CO
Duration : Long Term
We are seeking a strategic AI Business Process Engineer to serve as the critical link between advanced AI development and clinical operational reality. Unlike a traditional technical engineering role, this position focuses on workflow transformation and operational readiness.
You will be responsible for ensuring that AI solutions are effectively integrated into reimagined human workflows rather than simply being deployed as standalone tools. You will partner closely with AI Product Managers and Delivery Engineers to diagnose current inefficiencies, design "Human-in-the-Loop" future states, and ensure that our AI initiatives drive tangible business value and sustainable adoption.
Key Responsibilities
1. Process Discovery & Diagnostic Analysis ("As-Is")
  • Lead deep-dive discovery sessions with clinical staff,operations leaders, and administrative personnel to map comprehensivecurrent-state workflows.
  • Identify bottlenecks, redundancies, and non-value-addedactivities to ensure AI is applied to optimize processes, not merely toautomate inefficiencies.
  • Develop detailed user journey maps that highlightdecision points, data entry requirements, and user pain points.

2. AI Workflow Design & Optimization ("To-Be")
  • Design future-state operational workflows thataccommodate new AI capabilities, defining exactly how human roles willinteract with AI outputs.
  • Develop protocols for "Human-in-the-Loop"scenarios, including exception handling, review queues, and validationsteps for AI-generated content (e.g., clinical notes or risk predictions).
  • Create standard operating procedures (SOPs) that bridgethe gap between algorithmic predictions and human decision-making.

3. Strategic Implementation & Change Management
  • Act as the primary translator between technical teams(Engineering/Data Science) and business stakeholders, ensuring technicalspecifications align with operational realities.
  • Define success metrics beyond model accuracy, focusingon workflow efficiency, user adoption rates, and reduction inadministrative burden.
  • Facilitate User Acceptance Testing (UAT) with a focuson process validation, ensuring the solution fits seamlessly into theend-user's daily environment.

Qualifications & Requirements
  • Experience: 5+ years of experience in BusinessProcess Engineering, Operations Strategy, or Clinical Transformation.
  • Technical Proficiency: Expert-level proficiency inprocess mapping tools (e.g., Visio, Lucidchart, BPMN standards).
  • AI Context: Demonstrated understanding of howAI/ML solutions impact business operations; ability to distinguish betweensoftware functionality and human process requirements.
  • Healthcare Domain: Experience within thehealthcare sector (Provider, Payer, or Health Tech) is strongly preferred.Familiarity with EMR/EHR workflows (e.g., Epic, Cerner) is a plus.
  • Core Competencies:
    • Strong analytical andproblem-solving skills.
    • Exceptional communication skills, with theability to navigate between technical and non-technical audiences.
    • Knowledge of Lean Six Sigma orAgile methodologies.

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