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Cognitive Engineering Jobs in Georgia (NOW HIRING)

Georgia

Behavioral Health Counselor 1

Athens, GA · On-site

$45K - $47K/yr

Facilitate substance use and/or cognitive programming, based on the needs of each circuit. Non-traditional hours may be required to ensure program delivery. Travel may also be required for training ...

Georgia

Behavioral Hlth Counselor 1

Morrow, GA · On-site

$45K - $47K/yr

Facilitate substance use and/or cognitive programming, based on the needs of each circuit. Non-traditional hours may be required to ensure program delivery. Travel may also be required for training ...

Georgia

Behavioral Hlth Counselor 1

Athens, GA

$45K - $47K/yr

Facilitate substance use and/or cognitive programming, based on the needs of each circuit. Non-traditional hours may be required to ensure program delivery. Travel may also be required for training ...

Nexus Cognitive

Head of UX (Atlanta)

Atlanta, GA · On-site

Forward-deployed engineers who build shoulder-to-shoulder with customer teams -- hands on keyboards, not just on decks. It's working, and fast. We're tripling revenue year over year, backed by ...

New

Pwc

US Tech - AI Engineering Manager

Atlanta, GA · On-site

$73K - $244K/yr

... Azure Cognitive Services (LUIS/Orchestrator) and enterprise channels (Microsoft Teams, Web Chat, Direct Line) - Leading platform engineering teams delivering cloud-native services and AI-enabled ...

ACI Infotech

Site Reliability engineer (SRE)

Atlanta, GA · On-site

$54.75 - $72.75/hr

We specialize in Big Data & Analytics, Digital Transformation, IT Service Management, Cognitive Solutions, Artificial Intelligence, IOT & Future Networks, DevOps, Enterprise Applications & Managed ...

eTeam

Artificial Intelligence Engineer

Alpharetta, GA · On-site

$108K - $130K/yr

... cognitive architectures, and AI safety practices. • Work with business teams to understand ... with GenAI engineers, application teams, MLOps, product, and business stakeholders to deliver ...

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Cognitive Engineering information

See Georgia salary details

$39.3K

$124K

$146.9K

How much do cognitive engineering jobs pay per year?

As of Aug 28, 2026, the average yearly pay for cognitive engineering in Georgia is $124,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $146,100.00 per year, depending on experience, location, and employer.

What is a cognitive engineering job?

A Cognitive Engineering job involves designing and optimizing systems that enhance human decision-making, problem-solving, and interaction with technology. Professionals in this field apply principles from psychology, artificial intelligence, and human factors engineering to improve user experiences and system efficiency. They work in domains like healthcare, aviation, autonomous systems, and AI-driven applications. The goal is to create intuitive and intelligent systems that complement human cognitive abilities and reduce errors.

What are the key skills and qualifications needed to thrive in cognitive engineering?

To thrive as a Cognitive Engineer, a strong background in psychology, human factors, computer science, or related fields is essential, often supported by a relevant degree. Proficiency in human-computer interaction (HCI) tools, usability testing software, and cognitive modeling platforms is highly valued, as are certifications like Certified Professional Ergonomist (CPE). Exceptional problem-solving abilities, analytical thinking, and effective communication set top performers apart in this field. These skills and qualities are critical for designing systems and products that align with human cognitive capabilities, ensuring both safety and usability.

What are the typical daily tasks and work environment for a cognitive engineer?

Cognitive Engineers typically spend their days analyzing user behaviors, designing user interfaces, creating cognitive models, and collaborating closely with multidisciplinary teams such as software developers, product managers, and UX designers. Much of the work involves conducting user research, running usability studies, and iteratively improving products based on data-driven insights. Work environments can range from tech companies to research institutions, often with opportunities for remote or hybrid schedules. Teamwork is a significant aspect of the role, as Cognitive Engineers often bridge the gap between technical development and user needs. This setting fosters ongoing professional learning and provides a clear path toward roles in user experience leadership or advanced human factors research.

How much do cognitive engineers make?

Cognitive engineers typically earn a median salary ranging from $80,000 to $130,000 annually, depending on experience, education, and location. They often work with AI, machine learning, and data analysis tools, and advanced skills can lead to higher compensation.

What does a cognitive engineer do?

A cognitive engineer designs and develops systems that mimic human thought processes, such as perception, reasoning, and decision-making. They often work with artificial intelligence, machine learning, and human-computer interaction to improve system performance and usability, typically requiring skills in programming, psychology, and data analysis.

What are the most commonly searched types of Cognitive Engineering jobs in Georgia?

The most popular types of Cognitive Engineering jobs in Georgia are:

What are popular job titles related to Cognitive Engineering jobs in Georgia?

For Cognitive Engineering jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Cognitive Engineering jobs in Georgia look for?

The top searched job categories for Cognitive Engineering jobs in Georgia are:

Cognitive Engineering jobs near you
Infographic showing various Cognitive Engineering job openings in Georgia as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $124,013 per year, or $59.6 per hour.

Principal, Infosys Consulting - Cognitive Manufacturing

Infosys Limited Digital

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Job description

Job details
Job Role
Principal - Business Consulting
Work Location
Atlanta, GA, Chicago, IL, Dallas, TX, Houston, TX, Indianapolis, IN, Somerset, NJ
State / Region / Province
Georgia, Illinois, Indiana, New Jersey, Texas
Country
USA
Skills
Process|Consulting processes|Technology Consulting process
Domain
Consulting
Interest Group
Infosys Limited
Company
ITL USA
Requisition ID
152556BR
Salary min
154375
Salary max
193125
Principal - Cognitive Manufacturing
Manufacturing - Infosys Consulting | Cognitive Manufacturing Service Offering Principal - Cognitive Manufacturing Infosys Consulting, the management and technology consulting unit of Infosys Ltd, is seeking an experienced Principal to join its Manufacturing consulting practice and help grow its Cognitive Manufacturing service offering. This is an opportunity for a senior consulting leader to work with leading manufacturing companies as they modernize operations, improve business performance and apply advanced digital, data and AI capabilities across the manufacturing value chain. The ideal candidate brings 12 or more years of experience in manufacturing, consulting or business transformation, with strong knowledge of industries such as Automotive, Aerospace, Defense, Industrial Products or other complex manufacturing environments. Successful candidates will understand manufacturing, distribution and supply chain processes across discrete, continuous, batch, make-to-stock, make-to-order and engineer-to-order operating models. They will be comfortable advising senior clients using Industry 4.0 maturity models and transformation frameworks, while helping clients progress toward Cognitive Manufacturing capabilities enabled by AI/ML, GenAI, IoT, digital thread, smart factory, connected operations, manufacturing data foundations and related technologies. About the Role As a Principal, you will lead client engagements that help manufacturing companies define and execute transformation strategies. You will work directly with senior business and technology leaders to shape roadmaps, build business cases, guide delivery teams and create measurable outcomes across areas such as factory modernization, quality, supply chain, product industrialization, digital thread, AI-enabled operations and service performance. You will also play an important role in growing the practice by mentoring teams, contributing to thought leadership, supporting business development and helping bring new Cognitive Manufacturing offerings to market. Manufacturing Strategy & Design
  • Develop manufacturing transformation strategies and implementation roadmaps that help clients improve throughput, quality, cost, sustainability, resilience and speed.
  • Apply Industry 4.0 maturity and capability frameworks to assess client readiness across strategy, process, operating model, smart factory, IT/OT integration, data, analytics, AI, digital thread, workforce adoption and governance, and translate findings into actionable transformation roadmaps.
  • Lead assessments across the manufacturing value chain, including NPI, product industrialization, parts reuse, engineering change, BOM synchronization, production planning, factory execution, quality, maintenance, supplier collaboration, logistics and service feedback.
  • Help clients redesign manufacturing, supply chain and distribution processes to improve agility, transparency, traceability and decision-making.
  • Identify opportunities to apply digital, data and AI capabilities to business priorities such as OEE, first-pass yield, scrap reduction, downtime, engineering productivity, inventory, working capital, launch performance and service quality.
  • Lead executive workshops and working sessions to align stakeholders on business priorities, future-state capabilities and transformation roadmaps.
  • Link Cognitive Manufacturing capabilities, digital thread, manufacturing data foundations, AI/ML, GenAI, IoT and smart factory technologies to practical business cases and measurable outcomes.
Cognitive Manufacturing Focus
  • Advise clients on how to connect product innovation, engineering, manufacturing, quality, supply chain, distribution and service into a more intelligent and closed-loop manufacturing value chain.
  • Shape AI-enabled operating models and decision-support capabilities across plant, network and enterprise levels.
  • Help clients prioritize practical use cases in areas such as predictive quality, predictive maintenance, production optimization, AI-assisted scheduling, engineering change impact analysis, parts reuse, operator assistance and manufacturing performance intelligence.
  • Guide clients from pilots and point solutions toward scalable Cognitive Manufacturing capabilities that can be adopted across plants, functions and business units.
  • Define value realization approaches that help clients track benefits across productivity, quality, cost, downtime, cycle time, working capital, launch performance, sustainability and service outcomes.
  • Work with business, IT, OT, data and technology teams to align process, data, system, governance and change management needs.
Consulting Delivery
  • Lead the design and delivery of consulting engagements, either as standalone projects or as part of larger transformation programs.
  • Own engagement quality, scope, budget, staffing, delivery risk, governance, executive communication and client satisfaction.
  • Advise clients using industry best practices, manufacturing domain expertise and practical experience with digital and AI-enabled transformation.
  • Lead teams of consultants, technology professionals and subject matter experts to develop strategies, roadmaps, business cases and implementation recommendations.
  • Work closely with clients to understand their needs, define long-term goals and develop solutions that are practical, measurable and achievable.
  • Coordinate with business, IT, OT, data, AI, cloud, PLM, MES, ERP, QMS and vendor teams to translate business priorities into actionable initiatives.
  • Serve as a trusted liaison between client leaders, delivery teams, technology groups and other stakeholders throughout the transformation journey.
Practice Development
  • Contribute to the growth of the Manufacturing consulting practice and the Cognitive Manufacturing service offering.
  • Develop reusable assets such as assessment tools, maturity models, value maps, use-case libraries, workshop materials, roadmap templates and points of view.
  • Share insights on manufacturing trends, Industry 4.0, smart factory, digital thread, AI in manufacturing and emerging best practices.
  • Collaborate with colleagues across consulting, technology, data, AI, cloud and industry teams to develop differentiated offerings for clients.
  • Support thought leadership through client discussions, internal knowledge sharing, market-facing content, industry forums and innovation sessions.
  • Contribute to recruiting, training, onboarding, mentoring and capability-building activities within the practice.
People Management
  • Coach and develop consultants, senior consultants and analysts to deliver high-quality work and grow professionally.
  • Lead blended teams that may include consulting, technology, data, AI, business analysis and manufacturing subject matter experts.
  • Create a collaborative team environment with clear expectations for delivery quality, client readiness, problem solving and stakeholder management.
  • Provide feedback, guidance and mentoring to help build future manufacturing consulting leaders.
Business Development
  • Lead small and medium-sized sales pursuits, including proposal development, solution shaping, workplans, estimates and commercial inputs.
  • Build trusted relationships with senior client leaders across manufacturing, operations, engineering, quality, supply chain, IT, OT and service organizations.
  • Present Infosys Consulting capabilities and Cognitive Manufacturing offerings in a clear, compelling and client-relevant manner.
  • Identify follow-on opportunities by understanding client challenges and translating them into practical consulting opportunities.
  • Work with account teams, practice leaders, technology units and alliance partners to position differentiated solutions and expand client impact.
Basic Qualifications
  • Bachelor's degree or foreign equivalent required.
  • Minimum 12 years of relevant experience in manufacturing, supply chain, operations, engineering, quality, technology consulting, business transformation or management consulting.
  • At least 3-5 years of management consulting experience at a top-tier consulting firm, professional services firm or manufacturing company.
  • 5-7 years of experience in one or more areas such as manufacturing, quality, supply chain, technology, operations, engineering, distribution or service.
  • Strong understanding of manufacturing operations across discrete, continuous, batch, make-to-stock, make-to-order and engineer-to-order environments.
  • Experience defining manufacturing strategies, operating models, process improvements, transformation roadmaps or business cases.
  • Demonstrated ability to lead complex programs in large organizations and work effectively with senior business and technology stakeholders.
  • Experience leading teams that include business consultants, technology specialists, data professionals or manufacturing subject matter experts.
  • Ability to translate business requirements into practical technology-enabled solutions and supporting business cases.
  • Familiarity with Industry 4.0, smart factory, digital thread, AI/ML, GenAI, IoT, PLM, MES, ERP, QMS, data platforms or manufacturing analytics.
  • Excellent presentation, facilitation, communication and relationship-building skills, including experience working with senior management and CXO-level stakeholders.
  • Ability to manage ambiguity, structure executive discussions and drive alignment across business, IT, OT, vendor and leadership stakeholders.
  • Must be willing and able to travel extensively based on client requirements.
  • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
  • For candidates based out of CA, WA, NY, IL, MN,NJ states, estimated annual compensation will be $154,500 to $193,125.
Preferred Qualifications
  • MBA or equivalent advanced degree.
  • Depth of knowledge in one or more manufacturing domains such as production planning, production operations, supply chain, quality, sourcing, distribution, NPI, product industrialization, parts reuse, BOM management, maintenance or service.
  • Experience leading stakeholder-intensive transformation programs from strategy through execution.
  • Proven ability to deliver high-quality work under tight deadlines and challenging constraints.
  • Ability to collaborate across consulting, technology, data, AI, cloud, engineering and industry teams.
  • Working knowledge of Agile methodologies and iterative delivery approaches.
  • Demonstrated thought leadership and ability to develop new service offerings, market-facing points of view or reusable consulting assets.
  • Experience with Cognitive Manufacturing, smart factory, digital thread, AI-enabled operations, connected products, manufacturing data foundations or enterprise transformation.
  • Familiarity with Industry 4.0 reference architectures, maturity models and assessment frameworks across connected operations, automation, IIoT, manufacturing analytics, digital thread, smart factory, workforce adoption and governance capabilities.
  • Experience with PLM, MES, ERP, QMS, APS, IIoT, historian, cloud, data lake, analytics, manufacturing intelligence or AI platforms.
  • Familiarity with EBOM, MBOM, SBOM, BOP, routing, work instructions, APQP, PPAP, engineering change management, product configuration or service lifecycle processes.
  • Lean, Six Sigma, APICS, PMP, Agile, analytics, cloud, AI or product management certification is desirable.
  • Ability and willingness to work as part of a cross-cultural team, including flexibility to support multiple time zones when necessary.

Benefits
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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