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Applied Intelligence Jobs in Georgia (NOW HIRING)

Monitise

AI - Product Owner

Alpharetta, GA

As an AI Product Owner within Finxact Experience, you will help shape the next generation of Finxact's Applied Intelligence capabilities. You will partner closely with Product, Engineering, Design ...

Fiserv, Inc.

AI - Product Owner

Alpharetta, GA · On-site

As an AI Product Owner within Finxact Experience, you will help shape the next generation of Finxact's Applied Intelligence capabilities. You will partner closely with Product, Engineering, Design ...

Daikin Applied

Applied Systems Sales Manager

Marietta, GA · On-site

$126K - $221K/yr

Provide market and competitor intelligence through data collection of the sales team as well as ... Daikin Applied offers the following benefits for this position, subject to applicable eligibility ...

Daikinapplied

Applied Systems Sales Manager

Marietta, GA · On-site

$126K - $221K/yr

Provide market and competitor intelligence through data collection of the sales team as well as ... Daikin Applied offers the following benefits for this position, subject to applicable eligibility ...

CTC Group

Chinese Mandarin Language Analyst

Augusta, GA · On-site

$80K - $210K/yr

Produce clear intelligence reports, summaries, and briefings to support analysts, operators, and ... In lieu of an Associate's Degree, two (2) years of directly related, applied, practical work ...

Cloudera

... Clari), business intelligence tools (e.g., Tableau, Power BI), and SQL is a strong plus ... Applied AI Specialist organizations. * Deep domain experience in enterprise software, big data ...

Accenture

CFOEV Senior Manager - PRD

Atlanta, GA · On-site

$132K - $338K/yr

Creating, Defining Finance Centers of Excellence, automating processes through robotics or applied intelligence, machine learning) * Reporting and analytics including visualizations, dashboards ...

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How much do applied intelligence jobs pay per year?

As of Aug 10, 2026, the average yearly pay for applied intelligence in Georgia is $88,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,400.00 and $100,100.00 per year, depending on experience, location, and employer.

What is an applied intelligence?

An Applied Intelligence job focuses on leveraging data, analytics, AI, and automation to solve business challenges and drive decision-making. Professionals in this role work with advanced technologies to analyze trends, optimize processes, and improve efficiency. They collaborate with teams across various industries to develop data-driven strategies and innovative solutions. Typical responsibilities may include machine learning model development, data visualization, and business intelligence reporting. This role is ideal for individuals with strong analytical, problem-solving, and technical skills.

Are applied intelligence jobs high paying?

Applied intelligence jobs often offer competitive salaries due to the specialized skills required, such as data analysis, machine learning, and cybersecurity. Compensation varies based on experience, education, and location, but these roles generally provide above-average pay within the tech and intelligence sectors.

What are the typical projects and responsibilities for an applied intelligence role?

In an Applied Intelligence role, you will typically work on projects that involve analyzing large datasets, developing predictive models, and generating actionable insights to solve real business challenges. Daily responsibilities may include collaborating with cross-functional teams, building dashboards and reports, and presenting findings to stakeholders. You'll often partner closely with IT, marketing, operations, and executive leadership to ensure that data-driven recommendations align with organizational objectives. This role offers exposure to various industries and processes, making it ideal for those interested in both analytics and business strategy. Over time, strong performers can advance to leadership positions or specialized roles in data science or business analytics.

What are the key skills and qualifications needed to thrive in the applied intelligence position, and why are they important?

To thrive as an Applied Intelligence professional, you need a strong background in data analytics, problem-solving, and business strategy, often with a degree in computer science, engineering, or a related field. Familiarity with data analysis tools (like SQL, Python, R), business intelligence platforms (such as Power BI or Tableau), and certifications in analytics or project management are commonly required. Excellent communication, adaptability, and collaborative skills are essential to translate complex insights into actionable business solutions. These skills are crucial for effectively driving data-driven initiatives that help organizations achieve strategic goals.

What are popular job titles related to Applied Intelligence jobs in Georgia? For Applied Intelligence jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Applied Intelligence jobs in Georgia look for? The top searched job categories for Applied Intelligence jobs in Georgia are:
Applied Intelligence jobs near you
Infographic showing various Applied Intelligence job openings in Georgia as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $88,359 per year, or $42.5 per hour.

Director of Data & Intelligence Engineering - 2237017

Forvis Mazars

Atlanta, GA • On-site

Full-time

Posted 20 days ago

Forvis Mazars rating

8.1

Company rating: 8.1 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

11th of 22 rated bookkeepers and accountants

Job description

Description & Requirements
The Director of Data & Intelligence serves as a senior leader within the Analytics and Applied Intelligence (AAI) practice and is accountable for the Data Foundation layer (Layer 1) of the firm's agentic intelligence framework, including the semantic fabric, vector stores, knowledge graphs, MCP connectors, and Zero-ETL pipelines that power autonomous systems and Client Zero solutions. This leader provides strategic direction, mentorship, technical coaching, and people leadership to the firm's Data & Intelligence Engineers, including professionals transitioning from Backend Data Designer and Data Engineer roles. Operating as a peer and key collaborator to the senior leaders of the AI Solutions Architects and Intelligence Designers teams, this role partners closely on solution architecture, end-to-end agentic delivery, and the development of Center of Excellence standards. The position follows a flexible hybrid work model with approximately 10% travel and requires availability during Eastern Standard Time (EST) business hours. Due to project requirements, all professionals serving in this role must reside and perform all work within the United States. Candidates must be legally authorized to work in the United States now and in the future. Verification of employment eligibility will be required at the time of hire, and visa sponsorship is not available for this position.
What You Will Do:
  • Lead the Data & Intelligence Engineering discipline across the AAI practice - setting technical direction, quality standards, and delivery patterns for the Layer 1 Data Foundation that supports delivery.
  • Provide coaching, career development, and performance feedback to Data & Intelligence Engineers.
  • Partner with peer leaders of the AI Solutions Architects and Intelligence Designers to define solution architecture, hand-offs across the three logic layers (Data, Reasoning, Validation), and shared standards for MCP, evals, and HITL.
  • Contribute to the AAI Center of Excellence (Hub) - selecting frontier tooling, codifying standards (Zero-ETL, vector DBs, knowledge graphs, MCP), and ensuring cross-team knowledge sharing.
  • Represent the practice on AI Ethics, model governance, data sovereignty, and responsible AI guardrails, in alignment with the AAI Steering Committee and Client Zero principles.
  • Architect and oversee the Data Foundation layer of agentic systems: vector stores (Pinecone, Weaviate, Milvus), knowledge graphs (Neo4j), semantic layers, and Zero-ETL / real-time streaming pipelines.
  • Thorough understanding of data modeling, relational, and non-relational principles; expert level SQL
  • Expertise in Python data engineering packages and patterns, including Python and PySpark
  • Familiarity and experience with the different data engineering platforms commonly used such as Fabric, Databricks, Snowflake, Synapse
  • Solid leadership-level fluency with cloud fundamentals (Azure preferred, GCP, AWS) and modern data architecture (lakehouse, data contracts, governance, lineage)
  • Expected to actively collaborate with clients and team members to meet project objectives and timelines; Strong communication skills (verbal and written) for executive, client, and team audiences.
  • Experience with building, testing and deploying data pipelines, ML/AI models; understanding of GenAI/Agentic AI use cases (experience strongly preferred)
  • Design and govern MCP (Model Context Protocol) connectors that securely expose enterprise sources (Jira, CRM, ERP, lakehouse) as tools consumable by agents and frontier models.
  • Set standards for Graph-RAG, RAG optimization, chunking strategy, and retrieval evaluation to minimize hallucinations and ensure high-quality context for downstream LLM components.
  • Partner with AI Solutions Architects to ensure data tools, semantic layers, and MCP services meet the needs of agentic workflows (LangChain, LangGraph, CrewAI) and frontier model integrations (GPT, Claude, Gemini).
  • Partner with Intelligence Designers to ensure data structures support HITL workflows, Action Centers, evals, and Golden Set testing.
  • Enforce row-/column-level security, federated identity (Entra ID / OAuth), and policy-as-code guardrails across all agent-accessible data.

Minimum Qualifications:
  • BS in data science, computer science or other related fields (MS strongly preferred)
  • 8+ years of relevant data engineering / data science experience, with demonstrated depth in modern data architecture (Zero-ETL, vector/graph databases, semantic layers, RAG)
  • 7+ years of experience leading, coaching, and developing teams of professionals (typically 5-10+), including senior individual contributors; consulting environment strongly preferred.
  • Proven track record partnering with peer technical leaders (e.g., solutions architecture, UX/interface design) to deliver integrated, multidisciplinary platforms.
  • Demonstrated experience deploying RAG architectures and MCP-based integrations in production environments, including evaluation frameworks (evals, RAGAS, Golden Set testing) for probabilistic systems.
  • Familiarity with AI Ethics, responsible AI guardrails, and governance frameworks suitable for enterprise and regulated environments.

Preferred Qualifications:
  • Prior experience in professional services or consulting, ideally leading a data engineering or applied AI practice area.
  • Experience translating client business problems into agentic data architectures (semantic layers, knowledge graphs, MCP tool design).
  • Hands-on exposure to LLM orchestration frameworks (LangChain, LangGraph, CrewAI) sufficient to coach engineers on integration patterns.
  • Experience with production agent monitoring, observability, SLA design, and incident response for probabilistic systems (in partnership with the Agent Operations Lead).

#LI-BOCR, #LI-ATL, #LI-CLTSP, #LI-CLTU, #LI-DFW, #LI-HOU
#LI-GM1
About Forvis Mazars, LLP
Forvis Mazars, LLP is an independent member of Forvis Mazars Global, a leading global professional services network. Ranked among the largest public accounting firms in the United States, our 7,000+ team members deliver assurance, tax, and consulting services to clients in all 50 states and internationally.
With a legacy spanning more than 100 years, we're building something different. We are guided by a shared promise: Together, we create extraordinary experiences. That means delivering an Unmatched Client Experience® while creating a workplace where relationships matter, learning fuels growth, and every person feels valued and supported to thrive.
What We Offer
Our robust total rewards program and flexible work environment reflect our commitment to people, careers, and well-being-empowering our team to grow and thrive while delivering exceptional service. To explore what makes working at Forvis Mazars special, visit www.forvismazars.us/careers.
Legal Notice
Forvis Mazars, LLP is an equal opportunity/affirmative action employer in accordance with applicable law. Employment selection and related decisions are made without regard to age, race, color, sex, sexual orientation, national origin, religion, genetic information, disability, protected veteran status, gender identity, or other protected classifications.
It is Forvis Mazars, LLP standard policy not to accept unsolicited referrals or resumes from any source other than directly from candidates.
Forvis Mazars, LLP expressly reserves the right not to consider any unsolicited referrals, resumes or CVs from vendors including and without limitation, search firms, staffing agencies, fee-based referral services, and recruiting agencies.
Forvis Mazars, LLP further reserves the right not to pay a fee to a recruiter or recruiting agency unless such recruiter or recruiting agency has a signed vendor agreement with Forvis Mazars, LLP. Any resume(s) or CV(s) submitted to anyone working for Forvis Mazars, LLP, or submitted to a Forvis Mazars, LLP general email, without having a Forvis Mazars, LLP vendor agreement in place, will be considered the property of Forvis Mazars, LLP.

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