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Smart Ai Jobs in Indiana (NOW HIRING)

Arrive AI

Senior Accountant

Fishers, IN · On-site

$69K - $87K/yr

A finance function that continuously improves through smart use of technology and AI Requirements: What We're Looking For : * CPA designation or active CPA candidate strongly preferred * Experience ...

Arrive AI Inc

Senior Accountant

Fishers, IN

$69K - $87K/yr

... Points-smart lockers and mini-cross-docks for frictionless drone, robotic, and courier delivery, from medical supplies to meals to e-commerce. Arrive AI is now moving forward to scaling the ALM ...

Arrive AI Inc

Senior Accountant

Fishers, IN · On-site

$69K - $87K/yr

... Points-smart lockers and mini-cross-docks for frictionless drone, robotic, and courier delivery, from medical supplies to meals to e-commerce. Arrive AI is now moving forward to scaling the ALM ...

Arrive AI

Electrical Engineer - Firmware

Fishers, IN · On-site

... smart locker and mini-cross-docks for frictionless drone, robotic, and courier delivery and pickup, utilized from medical supplies to meals to e-commerce. Arrive AI is now growing and investing to ...

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Smart Ai information

What is a smart AI?

Smart AI professionals are experts who specialize in designing, developing, and maintaining artificial intelligence systems that can learn, adapt, and perform tasks typically requiring human intelligence. Their work can include machine learning, natural language processing, computer vision, and robotics, among other areas. These professionals collaborate with data scientists, engineers, and domain experts to create AI solutions for various industries such as healthcare, finance, and technology. Their goal is to build intelligent systems that can solve complex problems, automate processes, and enhance decision-making.

What are the key skills and qualifications needed to thrive as a smart AI engineer?

To thrive as a Smart AI Engineer, you need a strong background in computer science, machine learning, and data analysis, typically supported by a relevant degree and experience in AI development. Familiarity with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud platforms are essential. Critical thinking, creativity, and effective communication are important soft skills for designing innovative solutions and collaborating with cross-functional teams. These skills and qualities are crucial for developing robust AI systems that deliver real-world value and adapt to evolving technological demands.

How does a smart AI engineer typically collaborate with cross-functional teams during project development?

Smart AI Engineers often work closely with data scientists, software developers, and product managers to design, build, and deploy intelligent systems. Collaboration usually involves regular meetings to align on project goals, sharing insights from data analysis, and integrating AI models into existing platforms. Effective communication is key, as Smart AI Engineers must translate complex technical concepts for non-technical stakeholders and adapt solutions based on feedback. This teamwork fosters innovation and ensures that AI solutions align well with business needs and user requirements.

What is the difference between Smart Ai vs Data Analyst?

AspectSmart AiData Analyst
Required CredentialsTypically a background in AI, machine learning, or computer science; certifications in AI toolsDegree in statistics, mathematics, or related field; certifications in data analysis tools
Work EnvironmentTech companies, AI development labs, software firmsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageUsed by AI startups, tech giants, and software developersEmployed across various industries for data-driven decision making
Search & Comparison IntentUnderstanding AI roles, tools, and capabilitiesAnalyzing data, generating reports, and insights

Smart Ai focuses on developing and implementing artificial intelligence systems, often requiring expertise in machine learning and programming. Data Analysts interpret data sets to provide actionable insights, typically using statistical tools. While both roles involve working with data, Smart Ai is more technical and development-oriented, whereas Data Analysts focus on analysis and reporting.

What job categories do people searching Smart Ai jobs in Indiana look for?

The top searched job categories for Smart Ai jobs in Indiana are:

What cities in Indiana are hiring for Smart Ai jobs?

Cities in Indiana with the most Smart Ai job openings:

Smart Ai jobs near you

Smart Manufacturing Consultant

Flexware Innovation

Fishers, IN • On-site

Full-time

Re-posted 27 days ago

Job description

Description
WHAT FLEXWARE DOES
Flexware Innovation is a leading technology integrator that helps forward thinkers in manufacturing and related industries build comprehensive and long-lasting solutions with ease.
Founded in 1996 and based in Indiana, our teams of talented engineers leverage technology to solve real business problems with teams of engineers focused on industrial controls, manufacturing systems integration, software development, business intelligence, and Internet of Things (IoT) devices. Our passion is helping our customers build solutions that stand the test of time by creating solid architecture and helping customers avoid costly design mistakes.
But we're not just invested in technology - we're also invested in people. Our internal promise to our Flexdogs is to have a positive and lasting impact on our families by providing a healthy and engaging work environment. Our environment is fun, family-friendly, energetic, and was nominated for TechPoint's Mira Award for "Company Culture of the Year" in 2017, four Powderkeg awards in 2019, and 5 Powderkeg awards in 2022.
WHAT YOU WILL DO
We are seeking a talented Smart Manufacturing Consultant to join our Digital Transformation and Industrial AI practice. Reporting to the Vice President, Digital Transformation & Industrial AI, this role is ideal for a consulting-oriented professional with a strong engineering foundation and deep expertise in industrial AI technologies.
You will work directly with manufacturing and industrial operations clients to deliver consulting engagements that address complex operational challenges through AI-enabled solutions. This position requires the ability to bridge strategic thinking with technical implementation, combining management consulting rigor with hands-on knowledge of AI applications in industrial settings.
Key Responsibilities
Consulting Engagement Delivery
  • Lead and deliver industrial AI consulting engagements including strategy assessments, use case identification, feasibility studies, roadmap development, and business case creation
  • Conduct current state analyses of manufacturing operations, identifying opportunities for AI-driven improvements in areas such as predictive maintenance, quality optimization, process control, and autonomous operations
  • Facilitate workshops and working sessions with client stakeholders to define AI use cases, assess technical feasibility, and build organizational consensus
  • Develop comprehensive recommendations and implementation roadmaps that balance technical capabilities with business value and organizational readiness
  • Create compelling, executive-level deliverables including presentations, reports, and business cases that clearly articulate value propositions and implementation approaches

Technical Analysis & Solution Design
  • Assess industrial AI technology requirements and solution architectures for use cases including computer vision applications, predictive maintenance systems, digital twins, advanced process control, and autonomous operations
  • Evaluate data readiness and develop data strategies for AI initiatives, including data collection, integration, quality assessment, and governance requirements
  • Design solution architectures that integrate industrial AI capabilities with existing manufacturing systems (SCADA, MES, historians, IoT platforms)
  • Analyze technology vendor solutions and make informed recommendations regarding build-vs-buy decisions and technology partnerships
  • Conduct technical feasibility assessments for AI use cases, considering data availability, model development complexity, deployment requirements, and ROI potential

Implementation Support & Project Execution
  • Support implementation of industrial AI solutions from design through deployment, ensuring alignment with strategy and business objectives
  • Collaborate with data scientists, engineers, and OT/IT professionals to translate business requirements into technical specifications
  • Develop implementation plans, project charters, and work breakdown structures for AI deployment projects
  • Provide technical guidance on AI model development, validation, and operationalization in production environments
  • Design change management approaches and training programs to ensure successful adoption of AI solutions by operations teams

Client Relationship & Business Development
  • Build strong working relationships with client stakeholders including operations leaders, engineering teams, and OT/IT organizations
  • Identify follow-on opportunities and contribute to proposal development for expanded engagements
  • Support business development activities including capability presentations, client meetings, and proposal preparation
  • Serve as a trusted advisor to clients on industrial AI trends, technologies, and best practices

Thought Leadership & Knowledge Development
  • Contribute to development of Flexware's industrial AI intellectual capital including methodologies, frameworks, and case studies
  • Stay current on industrial AI technologies, manufacturing trends, and industry best practices
  • Participate in internal knowledge sharing and capability development initiatives
  • Support development of thought leadership content including whitepapers, articles, and conference presentations

WHAT YOU MIGHT HAVE DONE BEFORE
Education & Experience
  • Bachelor's degree in Engineering (Industrial, Mechanical, Chemical, Electrical, Computer Science, or related discipline); advanced degree (MS, MBA) preferred
  • 5-8 years of professional experience with a combination of management consulting and engineering/technical work in industrial or manufacturing sectors
  • Minimum 3 years of consulting experience, ideally at a management consulting firm, industrial consulting practice, or within an engineering consulting organization
  • Demonstrated experience working with industrial AI, machine learning, advanced analytics, or digital transformation initiatives in manufacturing environments

Technical Expertise
  • Proficiency in industrial AI use cases including predictive maintenance, quality prediction, process optimization, digital twins, computer vision, and autonomous operations
  • Knowledge of AI/ML technologies, platforms, and deployment architectures (edge computing, cloud, hybrid)
  • Familiarity with industrial systems including SCADA, MES, historians, IoT platforms, and OT/IT integration
  • Understanding of machine learning fundamentals including supervised and unsupervised learning, model development, validation, and deployment considerations

Industry Knowledge
  • Strong understanding of manufacturing operations across process, discrete, or hybrid environments
  • Familiarity with industrial automation systems including PLC, SCADA, DCS, MES, AMRs, and historians
  • Knowledge of operational technology (OT) and IT/OT integration challenges and solutions
  • Understanding of manufacturing KPIs, operational metrics, and value drivers (OEE, yield, quality, downtime, throughput)

Consulting & Analytical Skills
  • Strong problem-structuring and analytical capabilities with ability to break down complex challenges into actionable components
  • Excellent communication skills with demonstrated ability to create executive-level presentations and written deliverables
  • Experience conducting stakeholder interviews, facilitation workshops, and gathering requirements from diverse audiences
  • Ability to synthesize technical and business considerations into clear recommendations
  • Proficiency in financial analysis including ROI modeling, business case development, and cost-benefit analysis

Professional Capabilities
  • Project management skills with experience managing workstreams and delivering against timelines
  • Client-facing experience with ability to build relationships and credibility with technical and business stakeholders
  • Self-motivated with ability to work independently and as part of a collaborative team
  • Intellectual curiosity and commitment to continuous learning in rapidly evolving technology domains
Preferred Qualifications
  • Experience working in multiple manufacturing industries (pharmaceuticals, consumer goods, automotive, battery, metals & mining, food & beverage, chemicals, utilities, etc.)
  • Hands-on experience with data science tools and programming languages (Python, R, SQL)
  • Background in industrial or process engineering with direct manufacturing operations experience
  • Certifications in relevant areas (Lean Six Sigma, PMP, data science, AI/ML, industrial automation)
  • Experience with Hitachi technologies or familiarity with manufacturing automation platforms
  • Knowledge of Industry 4.0 frameworks, smart manufacturing concepts, and digital transformation methodologies
  • Published work or speaking experience on industrial AI or manufacturing topics
  • Demonstrated proficiency leveraging generative AI tools to enhance productivity, including experience establishing best practices for responsible AI tool usage within professional services terms
Work Environment & Travel
  • This is a remote position with flexibility to work from anywhere within the continental United States
  • Periodic travel to Flexware headquarters in Fishers, IN may be required
  • Travel to client sites is expected at approximately 30-40% depending on project assignments

If you're interested in this role, we're excited to start a conversation with you! Please reach out to Lindsay Imhoff at [email protected]. Your inquiry and conversation will be treated with confidentiality, and we will not share your information with others.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected status.

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